3D video and its applications

3D Video and Its Applications

Volumn 9781447141204, Issue , 2012, Pages 1-346

  Matsuyama, Takashi ^a   Nobuhara, Shohei ^a   Takai, Takeshi ^a   Tung, Tony ^a  

^a KYOTO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; CAMERAS; DATA VISUALIZATION; REVIEWS; VIDEO CAMERAS; VIDEO RECORDING; VIDEO SIGNAL PROCESSING;

3D VIDEO TECHNOLOGY; 3D VISUALIZATION; CALIBRATION METHOD; ITS APPLICATIONS; LIGHTING ENVIRONMENT; MOTION RECONSTRUCTION; PHOTOMETRIC CAMERAS; STATE OF THE ART;

THREE DIMENSIONAL COMPUTER GRAPHICS;

EID: 84930032976     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4471-4120-4     Document Type: Book

References (304)

1. Becker, C., Reiser, M., Alkadhi, H.: Multislice CT. Springer, Berlin (2008).
2. Bimber, O., Raskar, R.: Spatial Augmented Reality: Merging Real and Virtual Worlds. A K Peters, Welesley (2005).
3. Bradski, G.: The OpenCV Library. Dr. Dobb's Journal of Software Tools (2000).
4. Foley, J.D., van Dam, A., Feiner, S.K., Hughes, J.F.: Computer Graphics: Principles and Practice in C, 2nd edn. Addison-Wesley, Reading (1996).
5. Fujii, T., Kimoto, T., Tanimoto, M.: Ray space coding for 3D visual communication. In: Picture Coding Symposium, pp. 447-451 (1996).
6. Gutierrez, M., Vexo, F., Thalmann, D.: Stepping into Virtual Reality. Springer, Berlin (2008).
7. Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2000).
8. Ikeuchi, K., Oishi, T., Takamatsu, J., Sagawa, R., Nakazawa, A., Kurazume, R., Nishino, K., Kamakura, M., Okamoto, Y.: The great Buddha project: Digitally archiving, restoring, and analyzing cultural heritage objects. Int. J. Comput. Vis. 75, 189-208 (2007).
9. iview: http://www.bbc.co.uk/rd/projects/iview.
10. Kanade, T., Rander, P., Narayanan, P.J.: Virtualized reality: constructing virtual worlds from real scenes. In: IEEE Multimedia, pp. 34-47 (1997).
11. Kerlow, I.V.: The Art of 3D Computer Animation and Effects. John Wiley and Sons, New York (2004).
12. Kitagawa, M., Windsor, B.: MoCap for Artists:Workflow and Techniques for Motion Capture. Focal Press, Waltham (2008).
13. Levoy, M., Hanrahan, P.: Light field rendering. In: Proc. of ACM SIGGRAPH, pp. 31-42 (1996).
14. Moezzi, S., Tai, L.-C., Gerard, P.: Virtual view generation for 3D digital video. In: IEEE Multimedia, pp. 18-26 (1997).
15. Eye Vision project: http://www.ri.cmu.edu/events/sb35/tksuperbowl.html.
16. Rosenfeld, A., Kak, A.C.: Digital Picture Processing, 2nd edn. Academic Press, San Diego (1982).
17. Rusu, R.B., Cousins, S.: 3D is here: Point Cloud Library (PCL). In: Proc. of International Conference on Robotics and Automation, Shanghai, China (2011).
18. Konica Minolta 3D Laser Scanner: http://www.konicaminolta.com/.
19. Scharstein, D., Szeliski, R.: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. Int. J. Comput. Vis. 47, 7-42 (2002).
20. 4D View Solutions: http://www.4dviews.com/.
21. MESA Swissranger: http://www.mesa-imaging.ch/.
22. Szeliski, R.: Computer Vision: Algorithms and Applications. Springer, Berlin (2011).
23. Watkinson, J.: MPEG Handbook, 2nd edn. Elsevier, Amsterdam (2004).
24. Microsoft Kinect for Xbox 360: http://www.xbox.com/kinect.
25. Microsoft: Kinect (2010).
26. Levoy, M., Hanrahan, P.: Light field rendering. In: Proc. of ACMSIGGRAPH, pp. 31-42 (1996).
27. Raytrix GmbH: Raytrix-R29 3D lightfield-camera (2011).
28. Lytro: Lytro camera (2012).
29. Batlle, J., Mouaddib, E., Salvi, J.: Recent progress in coded structured light as a technique to solve the correspondence problem: A survey. Pattern Recognit. 31(7), 963-982 (1998).
30. Bayer, B.E.: US Patent 3971065: Color imaging array (1976).
31. Bouguet, J.-Y.: Camera Calibration Toolbox for Matlab. http://www.vision.caltech.edu/bouguetj/calib-doc/.
32. Bradski, G.: The OpenCV Library (2000). http://opencv.willowgarage.com.
33. Virtualizing Engine. Private communication with Profs. Takeo Kanade and Yaser Sheikh, Robotics Institute, Carnegie Mellon University, PA (2011).
34. Fitzgibbon, A.W., Zisserman, A.: Automatic camera recovery for closed or open image sequences. In: Proc. of European Conference on Computer Vision, pp. 311-326 (1998).
35. Gevers, T., Stokman, H.M.G., van de Weijer, J.: Colour constancy from hyper-spectral data. In: Proc. of British Machine Vision Conference (2000).
36. Goldlüecke, B., Magnor, M.: Joint 3D-reconstruction and background separation in multiple views using graph cuts. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 683-688 (2003).
37. Guillemaut, J.Y., Hilton, A., Starck, J., Kilner, J., Grau, O.: A Bayesian framework for simultaneous matting and 3D reconstruction. In: Proc. of International Conference on 3-D Digital Imaging and Modeling, pp. 167-176 (2007).
38. Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2000).
39. Hernandez, C., Schmitt, F., Cipolla, R.: Silhouette coherence for camera calibration under circular motion. IEEE Trans. Pattern Anal. Mach. Intell. 29(2), 343-349 (2007).
40. ISO/TR 16066: Standard Object Colour Spectra Database for Colour Reproduction Evaluation (SOCS) (2003).
41. Ivanov, Y., Bobick, A., Liu, J.: Fast lighting independent background subtraction. Int. J. Comput. Vis. 37(2), 199-207 (2000).
42. Kim, S.J., Pollefeys, M.: Robust radiometric calibration and vignetting correction. IEEE Trans. Pattern Anal. Mach. Intell. 30(4), 562-576 (2008).
43. Levoy, M., Hanrahan, P.: Light field rendering. In: Proc. of ACM SIGGRAPH, pp. 31-42 (1996).
44. Matsuyama, T., Hiura, S., Wada, T., Murase, K., Toshioka, A.: Dynamic memory: Architecture for real time integration of visual perception, camera action, and network communication. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 728-735 (2000).
45. Matsuyama, T., Ukita, N.: Real-time multitarget tracking by a cooperative distributed vision system. Proc. IEEE 90(7), 1136-1150 (2002).
46. Miyake, Y., Yokoyama, Y., Tsumura, N., Haneishi, H., Miyata, K., Hayashi, J.: Development of multiband color imaging systems for recordings of art paintings. In: Proc. of SPIE, pp. 218-225 (1998).
47. Morimoto, T., Mihashi, T., Ikeuchi, K.: Color restoration method based on spectral information using normalized cut. Int. J. Autom. Comput. 5, 226-233 (2008).
48. Nister, D.: An efficient solution to the five-point relative pose problem. IEEE Trans. Pattern Anal. Mach. Intell. 26(6), 756-770 (2004).
49. Nobuhara, S., Kimura, Y., Matsuyama, T.: Object-oriented color calibration of multiviewpoint cameras in sparse and convergent arrangement. IPSJ Trans. Comput. Vis. Appl. 2, 132-144 (2010).
50. Nobuhara, S., Tsuda, Y., Ohama, I., Matsuyama, T.: Multi-viewpoint silhouette extraction with 3D context-aware error detection, correction, and shadow suppression. IPSJ Trans. Comput. Vis. Appl. 1, 242-259 (2009).
51. Okutomi, M., Kanade, T.: A multiple-baseline stereo. IEEE Trans. Pattern Anal. Mach. Intell. 15(1), 353-363 (1993).
52. Pascale, D.: RGB coordinates of the ColorChecker (2006). http://www.babelcolor.com/main-level/ColorChecker.htm.
53. PMDTechnologies GmbH: CamCube3.0 (2010).
54. Salvi, J., Pagès, J., Batlle, J.: Pattern codification strategies in structured light systems. Pattern Recognit. 37(4), 827-849 (2004).
55. Scharstein, D., Szeliski, R.: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. Int. J. Comput. Vis. 47, 7-42 (2002).
56. Starck, J., Maki, A., Nobuhara, S., Hilton, A., Matsuyama, T.: The multiple-camera 3-d production studio. IEEE Trans. Circuits Syst. Video Technol. 19(6), 856-869 (2009).
57. Toyoura, M., Iiyama, M., Kakusho, K., Minoh, M.: Silhouette extraction with random pattern backgrounds for the volume intersection method. In: Proc. of International Conference on 3-D Digital Imaging and Modeling, pp. 225-232 (2007).
58. Wada, T., Matsuyama, T.: Appearance sphere: Background model for pan-tilt-zoom camera. In: Proc. of International Conference on Pattern Recognition, pp. A-718-A-722 (1996).
59. Yamaguchi, T., Wilburn, B., Ofek, E.: Video-based modeling of dynamic hair. In: Proc. of PSIVT, pp. 585-596 (2009).
60. Zeng, G., Quan, L.: Silhouette extraction from multiple images of an unknown background. In: Proc. of Asian Conference on Computer Vision, pp. 628-633 (2004).
61. Zhang, Z.: A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 22(11), 1330-1334 (2000).
62. Zheng, Y., Yu, J., Kang, S., Lin, S., Kambhamettu, C.: Single-image vignetting correction using radial gradient symmetry. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-8 (2008).
63. Davis, J., Chen, X.: Calibrating pan-tilt cameras in wide-area surveillance networks. In: Proc. of International Conference on Computer Vision, pp. 144-149 (2003).
64. Fitzgibbon, A.W., Zisserman, A.: Automatic camera recovery for closed or open image sequences. In: Proc. of European Conference on Computer Vision, pp. 311-326 (1998).
65. Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2000).
66. International Skating Union: Special Regulations & Technical Rules. Single and Pair Skating and Ice Dance (2008). Rule 342 Required rinks.
67. Jain, A., Kopell, D., Kakligian, K., Wang, Y.-F.: Using stationary-dynamic camera assemblies for wide-area video surveillance and selective attention. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 537-544 (2006).
68. Kitahara, I., Saito, H., Akimichi, S., Onno, T., Ohta, Y., Kanade, T.: Large-scale virtualized reality. In: CVPR2001 Technical Sketches (2001).
69. Lavest, J.M., Peuchot, B., Delherm, C., Dhome, M.: Reconstruction by zooming from implicit calibration. In: Proc. of International Conference on Image Processing, vol. 2, pp. 1012-1016 (1994).
70. Lavest, J.-M., Rives, G., Dhome, M.: Three-dimensional reconstruction by zooming. IEEE Trans. Robot. Autom. 9(2), 196-207 (1993).
71. Li, M., Lavest, J.-M.: Some aspects of zoom lens camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 18(11), 1105-1110 (1996).
72. Lu, C.-P., Hager, G.D., Mjolsness, E.: Fast and globally convergent pose estimation from video images. IEEE Trans. Pattern Anal. Mach. Intell. 22(6), 610-622 (2000).
73. Luong, Q.-T., Faugeras, O.D.: Self-calibration of a moving camera from point correspondences and fundamental matrices. Int. J. Comput. Vis. 22, 261-289 (1997).
74. Maybank, S.J., Faugeras, O.D.: A theory of self-calibration of a moving camera. Int. J. Comput. Vis. 8, 123-151 (1992).
75. Mendonca, P., Cipolla, R.: A simple technique for self-calibration. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 637-663 (1999).
76. Pollefeys, M., Koch, R., Gool, L.V.: Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters. Int. J. Comput. Vis., 7-25 (1999).
77. Sarkis, M., Senft, C.T., Diepold, K.: Calibrating an automatic zoom camera with moving least squares. IEEE Trans. Autom. Sci. Eng. 6(3), 492-503 (2009).
78. Scharstein, D., Szeliski, R.: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. Int. J. Comput. Vis. 47, 7-42 (2002).
79. Seitz, S.M., Curless, B., Diebel, J., Scharstein, D., Szeliski, R.: A comparison and evaluation of multi-view stereo reconstruction algorithms. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 519-528 (2006).
80. Sinha, S.N., Pollefeys, M.: Pan-tilt-zoom camera calibration and high-resolution mosaic generation. Comput. Vis. Image Underst. 103(3), 170-183 (2006).
81. Szeliski, R., Kang, S.B.: Recovering 3D shape and motion from image streams using nonlinear least squares. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 752-753 (1993).
82. Ukita, N., Matsuyama, T.: Real-time cooperative multi-target tracking by communicating active vision agents. Comput. Vis. Image Underst. 97, 137-179 (2005).
83. Wada, T., Wu, X., Tokai, S., Matsuyama, T.: Homography based parallel volume intersection: Toward real-time reconstruction using active camera. In: Proc. of CAMP, pp. 331-339 (2000).
84. Yamaguchi, T., Yoshimoto, H., Matsuyama, T.: Cell-based 3D video capture method with active cameras. In: Ronfard, R., Taubin, G. (eds.) Image and Geometry Processing for 3-D Cinematography, pp. 171-192. Springer, Berlin (2010).
85. Marr, D.: Vision. Freeman, New York (1982).
86. Alexa, M., Behr, J., Cohen-Or, D., Fleishman, S., Levin, D., Silva, C.T.: Point set surfaces. In: The Conference on Visualization, pp. 21-28 (2001).
87. Barr, A.H.: Rigid Physically Based Superquadrics, pp. 137-159. Academic Press, San Diego (1992).
88. Baumgart, B.G.: Geometric modeling for computer vision. Technical Report AIM-249, Artificial Intelligence Laboratory, Stanford University (1974).
89. Baumgart, B.G.: A polyhedron representation for computer vision. In: Proceedings of the National Computer Conference and Exposition, AFIPS'75, pp. 589-596 (1975).
90. Campbell, N., Vogiatzis, G., Hernández, C., Cipolla, R.: Automatic 3D object segmentation in multiple views using volumetric graph-cuts. Image Vis. Comput. 28(1), 14-25 (2010).
91. Virtualizing Engine. Private communication with Profs. Takeo Kanade and Yaser Sheikh, Robotics Institute, Carnegie Mellon University, PA (2011).
92. Cremers, D., Kolev, K.: Multiview stereo and silhouette consistency via convex functionals over convex domains. IEEE Trans. Pattern Anal. Mach. Intell., 1161-1174 (2010).
93. Felzenszwalb, P., Huttenlocher, D.: Efficient belief propagation for early vision. Int. J. Comput. Vis. 70, 41-54 (2006).
94. Franco, J.-S., Boyer, E.: Efficient polyhedral modeling from silhouettes. IEEE Trans. Pattern Anal. Mach. Intell. 31(3), 414-427 (2009).
95. Fua, P., Leclerc, Y.G.: Using 3-dimensional meshes to combine image-based and geometrybased constraints. In: Proc. of European Conference on Computer Vision, pp. 281-291 (1994).
96. Furukawa, Y., Ponce, J.: Accurate, dense, and robust multi-view stereopsis. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-8 (2007).
97. Goldlüecke, B., Magnor, M.: Space-time isosurface evolution for temporally coherent 3D reconstruction. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 350-355 (2004).
98. Habbecke, M., Kobbelt, L.: A surface-growing approach to multi-view stereo reconstruction. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-8 (2007).
99. Hernandez, C., Vogiatzis, G., Cipolla, R.: Probabilistic visibility for multi-view stereo. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-8 (2007).
100. Hernandez Esteban, C., Vogiatzis, G., Cipolla, R.: Multiview photometric stereo. IEEE Trans. Pattern Anal. Mach. Intell. 30, 548-554 (2008).
101. Horn, B.K.P., Brooks, M.J.: Shape from Shading. MIT Press, Cambridge (1989).
102. Hornung, A., Kobbelt, L.: Robust and efficient photo-consistency estimation for volumetric 3d reconstruction. In: Proc. of ECCV, pp. 179-190 (2006).
103. Ikeuchi, K.: Shape from regular patterns. Artif. Intell. 22(1), 49-75 (1984).
104. Ikeuchi, K., Oishi, T., Takamatsu, J., Sagawa, R., Nakazawa, A., Kurazume, R., Nishino, K., Kamakura, M., Okamoto, Y.: The great Buddha project: Digitally archiving, restoring, and analyzing cultural heritage objects. Int. J. Comput. Vis. 75, 189-208 (2007).
105. Ishikawa, H.: Higher-order clique reduction in binary graph cut. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 2993-3000 (2009).
106. Kanade, T., Rander, P., Narayanan, P.J.: Virtualized reality: constructing virtual worlds from real scenes. In: IEEE Multimedia, pp. 34-47 (1997).
107. Kang, S.B., Webb, J.A., Zitnick, C.L., Kanade, T.: A multibaseline stereo system with active illumination and real-time image acquisition. In: Proc. of International Conference on Computer Vision, pp. 88-93 (1995).
108. Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. Int. J. Comput. Vis. 1(4), 321-331 (1988).
109. Kazhdan, M., Bolitho, M., Hoppe, H.: Poisson surface reconstruction. In: Symposium on Geometry Processing, pp. 61-70 (2006).
110. Kolmogorov, V., Zabih, R.: What energy functions can be minimizedvia graph cuts? IEEE Trans. Pattern Anal. Mach. Intell. 26, 147-159 (2004).
111. Kutulakos, K.N., Seitz, S.M.: A theory of shape by space carving. In: Proc. of International Conference on Computer Vision, pp. 307-314 (1999).
112. Laurentini, A.: The visual hull concept for silhouette-based image understanding. IEEE Trans. Pattern Anal. Mach. Intell. 16(2), 150-162 (1994).
113. Lazebnik, S., Furukawa, Y., Ponce, J.: Projective visual hulls. Int. J. Comput. Vis. 74, 137-165 (2007).
114. Lempitsky, V., Boykov, Y., Ivanov, D., Ivanov, D.: Oriented visibility for multiview reconstruction. In: Proc. of European Conference on Computer Vision, pp. 226-238 (2006).
115. Marr, D.: Vision. W. H. Freeman & Co, New York (1982).
116. Martin, W.N., Aggarwal, J.K.: Volumetric description of objects from multiple views. IEEE Trans. Pattern Anal. Mach. Intell. 5(2), 150-158 (1983).
117. Matsuyama, T., Wu, X., Takai, T., Nobuhara, S.: Real-time 3D shape reconstruction, dynamic 3D mesh deformation and high fidelity visualization for 3D video. Comput. Vis. Image Underst. 96, 393-434 (2004).
118. Miller, G., Hilton, A.: Safe hulls. In: Proc. 4th European Conference on Visual Media Production, IET (2007).
119. Moezzi, S., Tai, L.-C., Gerard, P.: Virtual view generation for 3D digital video. In: IEEE Multimedia, pp. 18-26 (1997).
120. Nagel, H.H., Enkelmann, W.: An investigation of smoothness constraints for the estimation of displacement vector fields from image sequences. IEEE Trans. Pattern Anal. Mach. Intell. 8, 565-593 (1986).
121. Nayar, S.K., Nakagawa, Y.: Shape from focus. IEEE Trans. Pattern Anal. Mach. Intell. 16, 824-831 (1994).
122. Nayar, S.K., Watanabe, M., Noguchi, M.: Real-time focus range sensor. IEEE Trans. Pattern Anal. Mach. Intell. 18, 1186-1198 (1996).
123. Nobuhara, S., Matsuyama, T.: Dynamic 3D shape from multi-viewpoint images using deformable mesh models. In: Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis, pp. 192-197 (2003).
124. Nobuhara, S., Matsuyama, T.: Heterogeneous deformation model for 3D shape and motion recovery from multi-viewpoint images. In: Proc. of International Symposium on 3D Data Processing, Visualization and Transmission, pp. 566-573 (2004).
125. Nobuhara, S., Matsuyama, T.: Deformable mesh model for complex multi-object 3D motion estimation from multi-viewpoint video. In: Proc. of International Symposium on 3D Data Processing, Visualization and Transmission, pp. 264-271 (2006).
126. Nobuhara, S., Matsuyama, T.: A 3D deformation model for complex 3D shape and motion estimation from multi-viewpoint video. IEICE Trans. Inf. Syst. 91-D(6), 1613-1624 (2008) (in Japanese).
127. Nobuhara, S., Tsuda, Y., Ohama, I., Matsuyama, T.: Multi-viewpoint silhouette extraction with 3D context-aware error detection, correction, and shadow suppression. IPSJ Trans. Comput. Vis. Appl. 1, 242-259 (2009).
128. Okutomi, M., Kanade, T.: A multiple-baseline stereo. IEEE Trans. Pattern Anal. Mach. Intell. 15(1), 353-363 (1993).
129. Seitz, S., Dyer, C.: Photorealistic scene reconstruction by voxel coloring. Int. J. Comput. Vis. 25(3), 151-173 (1999).
130. Seitz, S.M., Curless, B., Diebel, J., Scharstein, D., Szeliski, R.: A comparison and evaluation of multi-view stereo reconstruction algorithms. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 519-528 (2006).
131. Sinha, S.N., Mordohai, P., Pollefeys, M.: Multi-view stereo via graph cuts on the dual of an adaptive tetrahedral mesh. In: Proc. of International Conference on Computer Vision, pp. 1-8 (2007).
132. Starck, J., Hilton, A.: Surface capture for performance based animation. IEEE Comput. Graph. Appl. 27(3), 21-31 (2007).
133. Starck, J., Hilton, A., Miller, G.: Volumetric stereo with silhouette and feature constraints. In: Proc. of British Machine Vision Conference, pp. 1189-1198 (2006).
134. Starck, J., Maki, A., Nobuhara, S., Hilton, A., Matsuyama, T.: The multiple-camera 3-d production studio. IEEE Trans. Circuits Syst. Video Technol. 19(6), 856-869 (2009).
135. Subbarao, M., Surya, G.: Depth from defocus: A spatial domain approach. Int. J. Comput. Vis. 13, 271-294 (1994).
136. Szeliski, R.: Rapid octree construction from image sequences. CVGIP, Image Underst. 58(1), 23-32 (1993).
137. Tomasi, C., Kanade, T.: Shape and motion from image streams: A factorization method-full report on the orthographic case. Int. J. Comput. Vis. 9, 137-154 (1992).
138. Tran, S., Davis, L.: 3d surface reconstruction using graph cuts with surface constraints. In: Proc. of European Conference on Computer Vision, vol. 3952, pp. 219-231 (2006).
139. Tung, T., Schmitt, F.: The augmented multiresolution reeb graph approach for content-based retrieval of 3D shapes. Int. J. Shape Model. 11(1), 91-120 (2005).
140. Vedula, S., Baker, S., Seitz, S., Kanade, T.: Shape and motion carving in 6D. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition (2000).
141. Vogiatzis, G., Hernandez, C., Torr, P., Cipolla, R.: Multiview stereo via volumetric graphcuts and occlusion robust photo-consistency. IEEE Trans. Pattern Anal. Mach. Intell. 29(12), 2241-2246 (2007).
142. Vogiatzis, G., Torr, P., Seitz, S.M., Cipolla, R.: Reconstructing relief surfaces. In: Proc. of British Machine Vision Conference, pp. 117-126 (2004).
143. Vogiatzis, G., Torr, P., Cipolla, R.: Multi-view stereo via volumetric graph-cuts. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 391-398 (2005).
144. Wada, T., Ukida, H., Matsuyama, T.: Shape from shading with interreflections under a proximal light source: Distortion-free copying of an unfolded book. Int. J. Comput. Vis. 24(2), 125-135 (1997).
145. Wu, X.: Parallel pipeline volume intersection for real-time 3D shape reconstruction on a PC cluster. PhD thesis, Kyoto University (March 2005).
146. Zaharescu, A., Boyer, E., Horaud, R.: Transformesh: A topology-adaptive mesh-based approach to surface evolution. In: Proc. of Asian Conference on Computer Vision, pp. 166-175 (2007).
147. Zeng, G., Quan, L.: Silhouette extraction from multiple images of an unknown background. In: Proc. of Asian Conference on Computer Vision, pp. 628-633 (2004).
148. Blender Foundation: http://www.blender.org/.
149. Dana, K.J., van Ginneken, B., Nayar, S.K., Koenderink, J.J.: Reflectance and texture of realworld surfaces. ACM Trans. Graph. 18(1), 1-34 (1999).
150. Debevec, P., Hawkins, T., Tchou, C., Duiker, H.P., Sarokin, W., Sagar, M.: Acquiring the reflectance field of a human face. In: SIGGRAPH'00: Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques, pp. 145-156. ACM, New York (2000).
151. Debevec, P.E., Taylor, C.J., Malik, J.: Modeling and rendering architecture from photographs: A hybrid geometry- And image-based approach. In: SIGGRAPH'96: Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques, pp. 11-20. ACM, New York (1996).
152. Dror, R.O., Adelson, E.H., Willsky, A.S.: Surface reflectance estimation and natural illumination statistics. In: IEEEWorkshop on Statistical and Computational Theories of Vision (2001).
153. Eisemann, M., Decker, B.D., Magnor, M., Bekaert, P., de Aguiar, E., Ahmed, N., Theobalt, C., Sellent, A.: Floating textures. In: Eurographics'08, vol. 27(2) (2008).
154. Euclideon: Unlimited Detail Technology. http://www.euclideon.com/.
155. Foley, J.D., van Dam, A., Feiner, S.K., Hughes, J.F.: Computer Graphics: Principles and Practice in C, 2nd edn. Addison-Wesley, Reading (1995).
156. Gu, X., Gortler, S.J., Hoppe, H.: Geometry images. In: ACM SIGGRAPH, vol. 21, pp. 355- 361. ACM, New York (2002.
157. Hoppe, H.: Progressive meshes. In: SIGGRAPH'96: Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques, pp. 99-108. ACM, New York (1996).
158. Ikeuchi, K., Sato, K.: Determining reflectance properties of an object using range and brightness images. IEEE Trans. Pattern Anal. Mach. Intell. 13(11), 1139-1153 (1991).
159. Lévy, B., Petitjean, S., Ray, N., Maillot, J.: Least squares conformal maps for automatic texture atlas generation. In: SIGGRAPH'02: Proceedings of the 29th Annual Conference on Computer Graphics and Interactive Techniques, pp. 362-371. ACM, New York (2002).
160. Matsuyama, T., Takai, T.: Generation, visualization, and editing of 3D video. In: First International Symposium on 3D Data Processing, Visualization and Transmission, pp. 234-245 (2002).
161. Miyazaki, D., Shibata, T., Ikeuchi, K.: Wavelet-texture method: Appearance compression by polarization, parametric reflection model, and daubechies wavelet. Int. J. Comput. Vis. 86(2), 171-191 (2010).
162. OpenGL Architecture Review Board, Shreiner, D., Woo, M., Neider, J., Davis, T.: OpenGL Programming Guide: The Official Guide to Learning OpenGL, Version 2.1, 6th edn. Addison- Wesley, Reading (2007).
163. Ramamoorthi, R., Hanrahan, P.: A signal-processing framework for inverse rendering. In: ACM SIGGRAPH, pp. 117-128 (2001).
164. Sato, Y., Wheeler, M.D., Ikeuchi, K.: Object shape and reflectance modeling from observation. In: ACM SIGGRAPH'97, pp. 379-387 (1997).
165. Sheffer, A., Lévy, B., Mogilnitsky, M., Bogomyakov, A.: Abf++: fast and robust angle based flattening. ACM Trans. Graph. 24(2), 311-330 (2005).
166. Sheffer, A., Praun, E., Rose, K.: Mesh parameterization methods and their applications. Found. Trends Comput. Graph. Vis. 2(2), 105-171 (2006).
167. Takai, T., Hilton, A., Matsuyama, T.: Harmonised texture mapping. In: Fifth International Symposium on 3D Data Processing, Visualization and Transmission (2010).
168. Takai, T., Matsyuyama, T.: Harmonized texture mapping. J. Inst. Image Inf. Telev. 63(4), 488- 499 (2009) (in Japanese).
169. Tominaga, S., Wandell, B.A.: Standard surface-reflectance model and illuminant estimation. J. Opt. Soc. Am. 6(4), 576-584 (1989).
170. Basri, R., Jacobs, D.W.: Lambertian reflectance and linear subspaces. IEEE Trans. Pattern Anal. Mach. Intell. 25(2), 218-233 (2003).
171. Belhumeur, P.N., Kriegman, D.J.: What is the set of images of an object under all possible illumination conditions? Int. J. Comput. Vis. 28(3), 24-260 (1998).
172. Blender Foundation: http://www.blender.org/.
173. Debevec, P.: Rendering synthetic objects into real scenes: Bridging traditional and imagebased graphics with global illumination and high dynamic range photography. In: SIGGRAPH' 98: Proceedings of the 25th Annual Conference on Computer Graphics and Interactive Techniques, pp. 189-198 (1998).
174. Debevec, P.: Image-based lighting. IEEE Comput. Graph. Appl. 22(2), 26-34 (2002).
175. Hara, K., Nishino, K., Ikeuchi, K.: Determining reflectance and light position from a single image without distant illumination assumption. In: IEEE International Conference on Computer Vision, vol. 2, pp. 560-567 (2003).
176. Lawson, C.L., Hanson, R.J.: Solving Least Squares Problems. Society for Industrial Mathematics, Philadelphia (1987).
177. Marschner, S.R., Greenberg, D.P.: Inverse lighting for photography. In: Fifth Color Imaging Conference, pp. 262-265 (1997).
178. Nillius, P., Eklundh, J.-O.: Automatic estimation of the projected light source direction. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. I, pp. 1076-1083 (2001).
179. Powell, M.W., Sarkar, S., Goldgof, D.: A simple strategy for calibrating the geometry of light sources. IEEE Trans. Pattern Anal. Mach. Intell. 23(9), 1022-1027 (2001).
180. Ramamoorthi, R., Hanrahan, P.: A signal-processing framework for inverse rendering. In: ACM SIGGRAPH, pp. 117-128 (2001).
181. Ronfard, R., Taubin, G. (eds.): Image and Geometry Processing for 3-D Cinematography. Geometry and Computing, vol. 5. Springer, Berlin (2010).
182. Sato, I., Sato, Y., Ikeuchi, K.: Acquiring a radiance distribution to superimpose virtual objects onto a real scene. IEEE Trans. Vis. Comput. Graph. 5(1), 1-12 (1999).
183. Sato, I., Sato, Y., Ikeuchi, K.: Illumination from shadows. IEEE Trans. Pattern Anal. Mach. Intell. 25(3), 290-300 (2003).
184. Solomon, F., Ikeuchi, K.: Extracting the shape and roughness of specular lobe objects using four light photometric stereo. IEEE Trans. Pattern Anal. Mach. Intell. 18, 449-454 (1996).
185. Takai, T., Maki, A., Niinuma, K., Matsuyama, T.: Difference sphere: An approach to near light source estimation. Comput. Vis. Image Underst. 113(9), 966-978 (2009).
186. Unger, J., Wenger, A., Hawkings, T., Gardner, A., Debevec, P.: Capturing and rendering with incident light fields. In: EGRW'03: Proceedings of the 14th Eurographics Workshop on Rendering, pp. 141-149 (2003).
187. Wang, Y., Samaras, D.: Estimation of multiple directional illuminants from a single image. Image Vis. Comput. 26(9), 1179-1195 (2008).
188. Yang, Y., Yuille, A.: Sources from shading. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 534-539 (1991).
189. Zhang, Y., Yang, Y.-H.: Multiple illuminant direction detection with application to image system. IEEE Trans. Pattern Anal. Mach. Intell. 232(8), 915-920 (2001).
190. Zhang, Z.: A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 22(11), 1330-1334 (2000).
191. Zhou, W., Kambhamettu, R.: Estimation of illuminant direction and intensity of multiple light sources. In: European Conference on Computer Vision, pp. 206-220 (2002).
192. Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active appearance models. IEEE Trans. Pattern Anal. Mach. Intell. 23(6), 681-685 (2001).
193. Fischler, M.A., Bolles, R.C.: Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM 24, 381-395 (1981).
194. Furukawa, Y., Ponce, J.: Accurate, dense, and robust multi-view stereopsis. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-8 (2007).
195. Hansen, D.W., Ji, Q.: In the eye of the beholder: A survey of models for eyes and gaze. IEEE Trans. Pattern Anal. Mach. Intell. 32(3), 478-500 (2010).
196. Just, M.A., Carpenter, P.A.: Eye fixations and cognitive processes. Cogn. Psychol. 8(4), 441- 480 (1976).
197. Kawaguchi, T., Rizon, M., Hidaka, D.: Detection of eyes from human faces by hough transform and separability filter. Electron. Commun. Jpn. 88(5), 29-39 (2005).
198. Kuroda, M., Nobuhara, S., Matsuyama, T.: 3d face geometry and gaze estimation from multiview images using symmetry prior. In: Proc. of MIRU (2011) (in Japanese).
199. Nobuhara, S., Kimura, Y., Matsuyama, T.: Object-oriented color calibration of multiviewpoint cameras in sparse and convergent arrangement. IPSJ Trans. Comput. Vis. Appl. 2, 132-144 (2010).
200. Nobuhara, S., Tsuda, Y., Ohama, I., Matsuyama, T.: Multi-viewpoint silhouette extraction with 3D context-aware error detection, correction, and shadow suppression. IPSJ Trans. Comput. Vis. Appl. 1, 242-259 (2009).
201. Sugimoto, A., Matsuyama, T.: Active wearable vision sensor: Detecting person's blink points and estimating human motion trajectory. In: Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2003, AIM2003, vol. 1, pp. 539-545 (2003).
202. Tobii Technology: X120 eye tracker.
203. Tung, T., Nobuhara, S., Matsuyama, T.: Simultaneous super-resolution and 3D video using graph-cuts. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-8 (2008).
204. Viola, P., Jones, M.J.: Robust real-time face detection. Int. J. Comput. Vis. 57, 137-154 (2004).
205. Arikan, O., Forsyth, D.A.: Interactive motion generation from examples. ACM Trans. Graph. 21(3), 483-490 (2002).
206. Sharf, A., Lewiner, T., Shamir, A., Kobbelt, L.: On-the-fly curve-skeleton computation for 3D shapes. Comput. Graph. Forum 26(3), 323-328 (2007).
207. Baran, I., Popovic, J.: Automatic rigging and animation of 3D characters. ACM Trans. Graph. 26(3), 27 (2007).
208. Cornea, N., Silver, D., Yuan, X., Balasubramanian, R.: Computing hierarchical curveskeletons of 3D objects. Vis. Comput. 21(11), 945-955 (2005).
209. Dijkstra, E.W.: A note on two problems in connexion with graphs. Numer. Math. 1, 269-271 (1959).
210. Fulkerson, B., Vedaldi, A., Soatto, S.: Localizing objects with smart dictionaries. In: Proc. of European Conference on Computer Vision, vol. 1, pp. 179-192 (2008).
211. Gray, R.M., Gersho, A.: Vector Quantization and Signal Compression. Kluwer Academic, Norwell (1992).
212. Hilaga, M., Shinagawa, Y., Kohmura, T., Kunii, T.L.: Topology matching for fully automatic similarity estimation of 3D shapes. In: Proc. of ACM SIGGRAPH, pp. 203-212 (2001).
213. Huang, P., Hilton, A., Starck, J.: Shape similarity for 3D video sequences of people. Int. J. Comput. Vis. 89(2-3), 362-381 (2010).
214. Huang, P., Tung, T., Nobuhara, S., Hilton, A., Matsuyama, T.: Comparison of skeleton and non-skeleton shape descriptors for 3D video. In: Proc. of International Symposium on 3D Data Processing, Visualization and Transmission (2010).
215. James, D.L., Twigg, C.D.: Skinning mesh animations. ACM Trans. Graph. 24(3) (2005).
216. Carranza, J., Theobalt, C., Magnor, M., Seidel, H.-P.: Free-viewpoint video of human actors. ACM Trans. Graph. 22(3), 569-577 (2003).
217. Lee, J., Chai, J., Reitsman, P.S.A., Hodgins, J.K., Pollard, N.S.: Interactive control of avatars animated with human motion data. ACM Trans. Graph. 21(3), 491-500 (2002).
218. Kho, Y., Garland, M.: Sketching mesh deformations. ACM Trans. Graph. 24(3), 934 (2005).
219. Koenderink, J.: Solid Shape. MIT Press, Cambridge (1990).
220. Kovar, L., Gleicher, M., Pighin, F.H.: Motion graphs. ACM Trans. Graph. 21(3), 473-482 (2002).
221. Palagyi, K., Kuba, A.: A parallel 3D 12-subiteration thinning algorithm. Graph. Models Image Process. 61(4), 199-221 (1999).
222. Molina-Tanco, L., Hilton, A.: Realistic synthesis of novel human movements from a database of motion capture examples. In: IEEE Workshop on Human Motion (2000).
223. Mizuguchi, T., Buchanan, J., Calvert, T.: Data driven motion transitions for interactive games. In: Eurographics Short Presentations (2001).
224. Morse, M.: The Calculus of Variations in the Large. Am. Mathematical Society Colloquium Publication, vol. 18. AMS, New York (1934).
225. Ngo, C.-W., Ma, Y.-F., Zhang, H.-J.: Video summarization and scene detection by graph modeling. IEEE Trans. Circuits Syst. Video Technol. 15(2), 296-305 (2005).
226. Paquet, E., Rioux, M.: A content-based search engine for VRML databases. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 541-546 (1998).
227. Park, S.I., Hodgins, J.K.: Capturing and animating skin deformation in human motion. ACM Trans. Graph. 25(3), 881-889 (2006).
228. Pascucci, V., Scorzelli, G., Bremer, P.-T., Mascarenhas, A.: Robust on-line computation of Reeb graphs: Simplicity and speed. ACM Trans. Graph. 26(3), 58 (2007).
229. Pearson, K.: On lines and planes of closest fit to systems of points in space. Philos. Mag. 2(6), 559-572 (1901).
230. Reeb, G.: On the singular points of a completely integrable Pfaff form or of a numerical function. C. R. Acad. Sci. Paris 222, 847-849 (1946).
231. Samet, H.: Foundations of Multidimensional Metric Data Structures. Morgan Kaufmann, San Mateo (2006).
232. Schödl, A., Szeliski, R., Salesin, D., Essa, I.: Video textures. In: Proc. of ACM SIGGRAPH, pp. 489-498 (2000).
233. Shotton, J., Johnson, M., Cipolla, R.: Semantic texton forests for image categorization and segmentation. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition (2008).
234. Sorkine, O., Alexa, M.: As-rigid-as-possible surface modeling. In: Proc. 5th Eurographics Symposium on Geometry Processing, pp. 109-116 (2007).
235. Starck, J., Hilton, A.: Surface capture for performance-based animation. IEEE Comput. Graph. Appl. (2007).
236. Tung, T., Matsuyama, T.: Topology dictionary with Markov model for 3D video content-based skimming and description. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition (2009).
237. Tung, T.: An implementation of the augmented multiresolution Reeb graphs (aMRG) for shape similarity computation of 3D models. http://tonytung.org/.
238. Tung, T., Matsuyama, T.: Topology dictionary for 3D video understanding. IEEE Trans. Pattern Anal. Mach. Intell. (2012).
239. Tung, T., Schmitt, F.: The augmented multiresolution Reeb graph approach for content-based retrieval of 3D shapes. Int. J. Shape Model. 11(1), 91-120 (2005).
240. Tung, T., Schmitt, F., Matsuyama, T.: Topology matching for 3D video compression. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition (2007).
241. Winn, J., Criminisi, A., Minka, T.: Object categorization by learned universal visual dictionary. In: Proc. of International Conference on Computer Vision, vol. 2, pp. 1800-1807 (2005).
242. Yeung, M., Yeo, B.L.: Segmentation of video by clustering and graph analysis. Comput. Vis. Image Underst. 71(1), 94-109 (1998).
243. Zaharescu, A., Boyer, E., Horaud, R.: Topology-adaptive mesh deformation for surface evolution, morphing, and multi-view reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 33(4), 823-837 (2011).
244. Zaharia, T., Prêteux, F.: Indexation de maillages 3D par descripteurs de forme. In: Proc. Reconnaissance des Formes et Intelligence Artificielle (RFIA), pp. 48-57 (2002).
245. Ziv, J., Lempen, A.: A universal algorithm for sequential data compression. IEEE Trans. Inf. Theory 23(3), 337-343 (1977).
246. Agarwal, A., Triggs, B.: 3d human pose from silhouettes by relevance vector regression. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR'04, pp. 882- 888 (2004).
247. Agarwal, A., Triggs, B.: Learning to track 3D human motion from silhouettes. In: Proc. of International Conference on Machine Learning, pp. 9-16 (2004).
248. Agarwal, A., Triggs, B.: Recovering 3D human pose from monocular images. IEEE Trans. Pattern Anal. Mach. Intell. 28(1), 44-58 (2006).
249. Brand, M.: Shadow puppetry. In: Proc. of International Conference on Computer Vision, vol. 2, pp. 1237-1244 (1999).
250. Bregler, C., Malik, J.: Tracking people with twists and exponential maps. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, CVPR'98, p. 8 (1998).
251. Deutscher, J., Reid, I.: Articulated body motion capture by stochastic search. Int. J. Comput. Vis. 61, 185-205 (2005).
252. Felzenszwalb, P.F., Huttenlocher, D.P.: Pictorial structures for object recognition. Int. J. Comput. Vis. 61, 55-79 (2005).
253. Fernando, R.: GPU Gems: Programming Techniques, Tips and Tricks for Real-Time Graphics. Pearson Higher Education, Upper Saddle River (2004). 0321228324.
254. Gall, J., Stoll, C., Aguiar, E.D., Theobalt, C., Rosenhahn, B., Seidel, H.-P.: Motion capture using joint skeleton tracking and surface estimation. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition (2009).
255. Gibson, S., Mirtich, B.: A Survey of Deformable Modeling in Computer Graphics (1997).
256. Grauman, K., Shakhnarovich, G., Darrell, T.: Inferring 3D structure with a statistical imagebased shape model. In: Proc. of International Conference on Computer Vision, pp. 641-647 (2003).
257. Howe, N.R.: Silhouette lookup for automatic pose tracking. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 15-22 (2004).
258. King, B.A., Paulson, L.D.: Motion capture moves into new realms. Computer 40, 13-16 (2007).
259. Ménier, C., Boyer, E., Raffin, B.: 3D Skeleton-Based Body Pose Recovery. In: Proc. of International Symposium on 3D Data Processing, Visualization and Transmission, pp. 389-396 (2006).
260. Moeslund, T.B., Hilton, A., Krüger, V.: A survey of advances in vision-based human motion capture and analysis. Comput. Vis. Image Underst. 104(2), 90-126 (2006).
261. Mukasa, T., Miyamoto, A., Nobuhara, S., Maki, A., Matsuyama, T.: Complex human motion estimation using visibility. In: Proc. of IEEE International Conference on Automatic Face and Gesture Recognition, pp. 1-6 (2008).
262. Nobuhara, S., Miyamoto, A., Matsuyama, T.: Complex 3D human motion estimation by modeling incompleteness in 3D shape observation. IEICE Trans. Inf. Syst. J92-D(12), 2225-2237 (2009) (in Japanese).
263. Ogawara, K., Li, X., Ikeuchi, K.: Marker-less human motion estimation using articulated deformable model. In: Proc. of International Conference on Robotics and Automation, pp. 46-51 (2007).
264. Peng, B., Qian, G.: Online gesture spotting from visual hull data. IEEE Trans. Pattern Anal. Mach. Intell. 33(6), 1175-1188 (2011).
265. Plänkers, R., Fua, P.: Articulated soft objects for multiview shape and motion capture. IEEE Trans. Pattern Anal. Mach. Intell. 25(9), 1182-1187 (2003).
266. Rogez, G., Orrite, C., Martinez, J., Herrero, J.: Probabilistic spatio-temporal 2D-model for pedestrian motion analysis in monocular sequences. In: Proc. of International Conference on Articulated Motion and Deformable Objects, pp. 175-184 (2006).
267. Rosales, R., Siddiqui, M., Alon, J., Sclaroff, S.: Estimating 3D body pose using uncalibrated cameras. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 821-827 (2001).
268. Rusinkiewicz, S., Levoy, M.: Efficient variants of the ICP algorithm. In: Proc. of International Conference on 3-D Digital Imaging and Modeling, pp. 145-152 (2001).
269. Shakhnarovich, G., Viola, P., Darrell, T.: Fast pose estimation with parameter-sensitive hashing. In: Proc. of International Conference on Computer Vision, pp. 750-757 (2003).
270. Sminchisescu, C., Kanaujia, A., Li, Z., Metaxas, D.: Discriminative density propagation for 3D human motion estimation. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 390-397 (2005).
271. Starck, J., Hilton, A.: Spherical matching for temporal correspondence of non-rigid surfaces. In: Proc. of International Conference on Computer Vision, vol. 2, pp. 1387-13942 (2005).
272. Theobalt, C., Magnor, M., Schuler, P., Seidel, H.-P.: Multi-layer skeleton fitting for online human motion capture. In: Proceedings of 7th International Fall Workshop on Vision, Modeling and Visualization, pp. 471-478 (2002).
273. Ukita, N., Hirai, M., Kidode, M.: Complex volume and pose tracking with probabilistic dynamical models and visual hull constraints. In: Proc. of International Conference on Computer Vision, pp. 1405-1412 (2009).
274. Blum, H.: A Transformation for Extracting New Descriptors of Shape. Models for the Perception of Speech and Visual Form (1967).
275. Briceno, H., Sandler, P., McMillian, L., Gortler, S., Hoppe, H.: Geometry videos: A new representation for 3D animations. In: Eurographics/SIGGRAPH Symposium on Computer Animation, pp. 136-146 (2003).
276. Bronstein, A.M., Bronstein, M.M., Kimmel, R.: Calculus of non-rigid surfaces for geometry and texture manipulation. IEEE Trans. Vis. Comput. Graph., 902-913 (2007).
277. Cagniart, C., Boyer, E., Ilic, S.: Probabilistic deformable surface tracking from multiple videos. In: Proc. of European Conference on Computer Vision (2010).
278. Carr, N., Hoberock, J., Crane, K., Hart, J.: Rectangular multi-chart geometry images. In: Proc. fourth Eurographics Symposium on Geometry Processing (SGP), pp. 181-190 (2006).
279. CGAL: Computational Geometry Algorithms Library. http://www.cgal.org.
280. Cornea, N., Silver, D., Yuan, X., Balasubramanian, R.: Computing hierarchical curveskeletons of 3D objects. Vis. Comput. 21(11), 945-955 (2005).
281. Erickson, J., Har-Peled, S.: Optimally cutting a surface into a disk. CoRR cs.CG/0207004 (2002).
282. Floater, M.: Parametrization and smooth approximation of surface triangulations. Comput. Aided Geom. Des. 14(3), 231-250 (1997).
283. Gu, X., Gortler, S., Hoppe, H.: Geometry images. In: Proc. of ACM SIGGRAPH, pp. 355-361 (2002).
284. Habe, H., Katsura, Y., Matsuyama, T.: Skin-off: Representation and compression scheme for 3D video. In: Picture Coding Symposium (2004).
285. Habe, H., Yamazawa, I., Nomura, T., Katsura, Y., Matsuyama, T.: Compression method for omni-directional video using polyhedral representations. J. Inst. Electron. Inf. Commun. Eng. J88-A(9), 1074-1084 (2005) (in Japanese).
286. Hilaga, M., Shinagawa, Y., Kohmura, T., Kunii, T.L.: Topology matching for fully automatic similarity estimation of 3D shapes. In: Proc. of ACM SIGGRAPH, pp. 203-212 (2001).
287. Hoppe, H.: Progressive meshes. In: Proc. of ACM SIGGRAPH, pp. 99-108 (1996).
288. Locasso, F., Hoppe, H., Schaefer, S., Warren, J.: Smooth geometry images. In: Eurographics Symposium on Geometry Processing, pp. 138-145 (2003).
289. Lowe, D.G.: Object recognition from local scale-invariant features. In: Proc. of International Conference on Computer Vision, vol. 2, pp. 1150-1157 (1999).
290. Morse, M.: The Calculus of Variations in the Large. American Mathematical Society Colloquium Publication, vol. 18. AMS, New York (1934).
291. Cignoni, P., Rocchini, C., Scopigno, R.: Metro: Measuring error on simplified surfaces. Comput. Graph. Forum 17(2), 167-174 (1998).
292. Pascucci, V., Scorzelli, G., Bremer, P.T., Mascarenhas, A.: Robust on-line computation of Reeb graphs: Simplicity and speed. ACM Trans. Graph. 26(3), 58 (2007).
293. Praun, E., Hoppe, H.: Spherical parametrization and remeshing. In: Proc. of ACM SIGGRAPH, pp. 340-349 (2003).
294. Sander, P., Gortler, S., Snyder, J., Hoppe, H.: Signal-specialized parametrization. Microsoft Research MSR-TR-2002-27 (2002).
295. Sander, P., Wood, Z., Gortler, S., Snyder, J., Hoppe, H.: Multi-chart geometry images. In: Eurographics Symposium on Geometry Processing, pp. 146-155 (2003).
296. Starck, J., Hilton, A.: Surface capture for performance-based animation. IEEE Comput. Graph. Appl. (2007).
297. Sullivan, G., Topiwala, P., Luthra, A.: The h.264/AVC advanced video coding standard: Overview and introduction to the fidelity range extensions. In: Proc. SPIE conference on Applications of Digital Image Processing, vol. XXVII, pp. 454-474 (2004).
298. Taubin, G., Rossignac, J.: Geometric compression through topological surgery. ACM Trans. Graph. 17(2), 84-115 (1998).
299. Tung, T., Nobuhara, S., Matsuyama, T.: Simultaneous super-resolution and 3D video using graph-cuts. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition (2008).
300. Tung, T., Nobuhara, S., Matsuyama, T.: Complete multi-view reconstruction of dynamic scenes from probabilistic fusion of narrow and wide baseline stereo. In: Proc. of International Conference on Computer Vision (2009).
301. Tung, T., Schmitt, F.: The augmented multiresolution Reeb graph approach for content-based retrieval of 3D shapes. Int. J. Shape Model. 11(1), 91-120 (2005).
302. Varanasi, K., Zaharescu, A., Boyer, E., Horaud, R.P.: Temporal surface tracking using mesh evolution. In: Proc. of European Conference on Computer Vision (2008).
303. Vlasic, D., Baran, I., Matusik, W., Popovic, J.: Articulated mesh animation from multi-view silhouettes. ACM Trans. Graph. 27(3) (2008).
304. Zaharescu, A., Boyer, E., Varanasi, K., Horaud, R.P.: Surface feature detection and description with applications to mesh matching. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition (2009).