A superresolution framework for high-accuracy multiview reconstruction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5748 LNCS, Issue , 2009, Pages 342-351

  Goldlücke, Bastian ^a   Cremers, Daniel ^a  

^a UNIVERSITY OF BONN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

3D MODELS; DEBLURRING; DISPLACEMENT MAPS; ENERGY FUNCTIONALS; HIGH-ACCURACY; IMAGE FORMATION MODELS; INPUT IMAGE; MULTI-VIEW RECONSTRUCTION; OBJECT SURFACE; SUPER RESOLUTION; TEXTURE MAPS; TEXTURE SPACE; TOTAL VARIATION MINIMIZATION; VARIATIONAL APPROACHES;

IMAGE ACQUISITION; IMAGE RECONSTRUCTION; IMAGE RESOLUTION; PATTERN RECOGNITION; TEXTURES;

THREE DIMENSIONAL;

EID: 70350441883     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03798-6_35     Document Type: Conference Paper

References (20)

1. Bernardini, F., Martin, I., Rushmeier, H.: High-quality texture reconstruction from multiple scans. IEEE Transactions on Visualization and Computer Graphics 7(4), 318-332 (2001)
2. Lensch, H., Heidrich, W., Seidel, H.P.: A silhouette-based algorithm for texture registration and stitching. Graphical Models 63(4), 245-262 (2001)
3. Theobalt, C., Ahmed, N., Lensch, H., Magnor, M., Seidel, H.P.: Seeing people in different light-joint shape, motion, and reflectance capture. IEEE Transactions on Visualization and Computer Graphics 13(4), 663-674 (2007)
4. Allne, C., Pons, J.P., Keriven, R.: Seamless image-based texture atlases using multi-band blending. In: 19th International Conference on Pattern Recognition (2008)
5. Lempitsky, V., Ivanov, D.: Seamless mosaicing of image-based texture maps. In: Proceedings of CVPR, vol. 1, pp. 1-6 (2007)
6. Fransens, R., Strecha, C., van Gool, L.: Optical flow based super-resolution: A probabilistic approach. Computer Vision and Image Understanding 106(1), 106-115 (2007)
7. Schoenemann, T., Cremers, D.: High resolution motion layer decomposition using dualspace graph cuts. In: Proceedings of CVPR, pp. 1-7 (2008)
8. Sroubek, F., Cristobal, G., Flusser, J.: A unified approach to superresolution and multichannel blind deconvolution. IEEE Transactions on Image Processing 16(9), 2322-2332 (2007)
9. Baker, S., Kanade, T.: Limits on super-resolution and how to break them. PAMI 24(9), 1167- 1183 (2002)
10. Goldluecke, B., Cremers, D.: Superresolution texture maps for multiview reconstruction. In: Proceedings of ICCV (accepted, 2009)
11. Lui, L.M., Wang, Y., Chan, T.F.: Solving PDEs on manifold using global conformal parameterization. In: Variational, Geometric, and Level Set Methods in Computer Vision: Third International Workshop (VLSM), pp. 309-319 (2005)
12. Welk, M., Theis, D., Brox, T., Weickert, J.: PDE-based deconvolution with forwardbackward diffusivities and diffusion tensors. In: Kimmel, R., Sochen, N.A., Weickert, J.(eds.) Scale-Space 2005. LNCS, vol. 3459, pp. 585-597. Springer, Heidelberg (2005)
13. Chambolle, A.: An algorithm for total variation minimization and applications.Mathematical Imaging and Vision 20, 89-97 (2004)
14. Lvy, B., Petitjean, S., Ray, N.,Maillot, J.: Least squares conformal maps for automatic texture atlas generation. ACM Transactions on graphics (SIGGRAPH) 21(3), 362-371 (2003)
15. Wang, Y., Gu, X., Hayashi, K., Chan, T.F., Thompson, P., Yau, S.T.: Surface parameterization using Riemann surface structure. Proceedings of ICCV 2, 1061-1066 (2005)
16. Weickert, J., Scharr, H.: A scheme for coherence-enhancing diffusion filtering with optimized rotation invariance. Journal of Visual Communication and Image Representation 13(1-2),103-118 (2002)
17. Donelly, W.: Per-Pixel Displacement Mapping with Distance Functions. In: GPU Gems 2. Addison-Wesley Longman, Amsterdam (2005)
18. Blomgren, P., Chan, T.F.: Color TV: Total variation methods for restoration of vector-valued images. IEEE Trans. Image Processing 7, 304-309 (1998)
19. Weickert, J.: Coherence-enhancing diffusion of colour images. Image and Vision Computing 17(3-4), 201-212 (1999)
20. Kolev, K., Cremers, D.: Integration ofmultiview stereo and silhouettes via convex functionals on convex domains. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS,vol. 5302, pp. 752-765. Springer, Heidelberg (2008)