Active contour based segmentation of 3D surfaces

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

Volumn 5303 LNCS, Issue PART 2, 2008, Pages 350-363

  Krueger, Matthias ^a   Delmas, Patrice ^a   Gimel'Farb, Georgy ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

3D INFORMATION; ACTIVE CONTOURS; CURVED SURFACES; FACE BIOMETRICS; GEODESIC ACTIVE CONTOUR; IMPLICIT SURFACES; NARROW BANDS; PARAMETRISATION;

COMPUTER VISION;

EID: 56749132996     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88688-4_26     Document Type: Conference Paper

References (22)

1. Bertalmio, M., Memoli, F., Cheng, L.T., Sapiro, G., Osher, S.: Variational problems and partial differential equations on implicit surfaces: Bye bye triangulated surfaces? In: Osher, S., Paragios, N. (eds.) Geometric Level Set Methods in Imaging, Vision, and Graphics, pp. 381-398. Springer, New York (2003)
2. Bogdanova, I., Bresson, X., Thiran, J., Vandergheynst, P.: Scale-space analysis and active contours for omnidirectional images. IEEE Trans. Image Processing 16, 1888-1901 (2007)
3. Kimmel, R.: Intrinsic scale space for images on surfaces: The geodesic curvature flow. Graphical Models And Image Processing 59, 365-372 (1997)
4. Wu, C., Deng, J., Zhu, W., Chen, F.: Inpainting images on implicit surfaces. In: Proc. Pacific Graphics Conf. 2005, University of Macau, pp. 142-144 (2005)
5. do Carmo, M.: Differential Geometry of Curves and Surfaces. Prentice-Hall, Englewood Cliffs (1976)
6. Chang, K.I., Bowyer, K.W., Flynn, P.J.: An evaluation of multimodal 2D+3D face biometrics. IEEE Trans. Pattern Anal. Machine Intell. 27, 619-624 (2005)
7. Tsalakanidou, F., Malassiotis, S., Strintzis, M.G.: Integration of 2D and 3D images for enhanced face authentication. In: Proc. IEEE 6th Int. Conf. Automatic Face and Gesture Recognition (FG 2004), Seoul, Korea, pp. 266-271 (2004)
8. Yan, P., Bowyer, K.W.: Biometrie recognition using 3D ear shape. IEEE Trans. Pattern Anal. Machine Intell. 29, 1297-1308 (2007)
9. Spira, A., Kimmel, R.: Geometric curve flows on parametric manifolds. J. Comp. Physics 223, 235-249 (2007)
10. Krueger, M., Delmas, P., Gimel'farb, G.: Towards feature extraction on implicit surfaces using geodesic active contours. In: Proc. Image and Vision Computing New Zealand, Hamilton, New Zealand, pp. 294-299 (2007)
11. Cheng, L.T., Burchard, P., Merriman, B., Osher, S.: Motion of curves constrained on surfaces using a level-set approach. J. Comp. Physics 175, 604-644 (2002)
12. Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. Int. J. Computer Vision 1, 321-331 (1987)
13. Caselles, V., Kimmel, R., Sapiro, G.: Geodesic active contours. Int. J. Computer Vision 22, 61-79 (1997)
14. Osher, S., Sethian, J.: Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations. J. Comp. Physics 79, 12-49 (1988)
15. Jin, H., Yezzi, A., Soatto, S.: Mumford-Shah on the move: Region-based segmentation on deforming manifolds with application to 3D reconstruction of shape and appearance from multi-view images. J. Math. Imaging Vision 29, 219-234 (2007)
16. Osher, S., Fedkiw, R.: Level sets methods and dynamic implicit surfaces. Springer, New York (2003)
17. Peng, D., Merriman, B., Zhao, H.K., Osher, S., Kang, M.: A PDE based fast local level set method. J. Comp. Physics 155, 410-438 (1999)
18. Sethian, J.: A fast marching level set method for monotonically advancing fronts. Proc. Nat, Acad. Sciences 93, 1591-1595 (1996)
19. Troje, N., Buelthoff, H.H.: Face recognition under varying poses: The role of texture and shape. Vision Research 36, 1761-1771 (1996)
20. Princeton suggestive contours gallery, http://www.cs.princeton.edu/gfx/ prog/sugcon/models/
21. Carr, J.C., Beatson, R.K., Cherrie, J.B., et al.: Reconstruction and representation of 3D objects with radial basis functions. In: Proc. SIGGRAPH 2001, Los Angeles, USA, pp. 67-76 (2001)
22. Mauch, S.: A fast algorithm for computing the closest point and distance transform. Technical Report, California Institute of Technology (2000)