Multi-view reconstruction using photo-consistency and exact silhouette constraints: A maximum-flow formulation

Proceedings of the IEEE International Conference on Computer Vision

Volumn I, Issue , 2005, Pages 349-356

  Sinha, Sudipta N ^a   Pollefeys, Marc ^a  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER VISION; CONSTRAINT THEORY; IMAGE ANALYSIS; IMAGE SEGMENTATION; IMAGING TECHNIQUES; OBJECT RECOGNITION; OPTIMIZATION; PROBLEM SOLVING;

GEOMETRIC GRAPH; MULTI-VIEW RECONSTRUCTION; PHOTO-CONSISTENCY; SILHOUETTE CONSTRAINTS;

IMAGE RECONSTRUCTION;

EID: 33745833283     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2005.159     Document Type: Conference Paper

References (20)

1. A. Laurentini, "The Visual Hull Concept for Silhouette-Based Image Understanding", PAMI 16,2(Feb 94),150-162.
2. S. Lazebnik, E. Boyer, and J. Ponce, "On Computing Exact Visual Hulls of Solids Bounded by Smooth Surfaces," In Proc. CVPR, pp. 156-161, 2001.
3. G. Vogiatzis, P.H.S. Torr and R. Cipolla, "Multi-view stereo via Volumetric Graph-cuts", In Proc. CVPR, 2005.
4. J. Isidoro and S. Sclaroff, "Stochastic Refinement of the Visual Hull to satisfy photometric and silhouette consistency constraints," In Proc. ICCV, pp. 1335-1342, 2003.
5. J.S. Franco and E. Boyer, "Exact Polyhedral Visual Hulls," In BMVC'03, Vol. I, pp. 329-338, September 2003.
6. O. Faugeras and R. Keriven, "Complete Dense Stereovision Using Level Set Methods", In Proc. ECCV98, pp. 379-393.
7. C.H. Esteban and F. Schmitt, "Silhouette and Stereo Fusion for 3D Object Modeling," CVIU, Special Issue on Model-based and image-based 3D Scene Representation for Interactive Visualization, 96,3,367-392, Dec 2004.
8. S. Paris, F. Sillion and L. Quan, "A Surface Reconstruction Method Using Global Graph Cut Optimization," In Proc. of Asian Conference on Computer Vision, January 2004.
9. D. Snow, P. Viola and R. Zabih, "Exact Voxel Occupancy with Graph Cuts", In Proc CVPR, 2000.
10. S. Roy and I. Cox, "A maximum-flow formulation of the n-camera stereo correspondence problem," In Proc of 6th Internation Conference on Computer Vision pp. 492-502, 1998.
11. Y. Boykov and V. Kolmogorov, "An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Computer Vision," PAMI, 26,9,1124-1137, Sep 2004.
12. K.N. Kutulakos and S.M.Seitz, "A Theory of Shape by Space Carving," In Proc. of ICCV, pp. 307-314, 1999.
13. G. Cross and A. Zisserman, "Surface Reconstruction from Multiple Views Using Apparent Contours and Surface Texture",In NATO Advanced Research Workshop on Confluence of Computer Vision and Computer Graphics 2000, pp. 25-47.
14. S. Sullivan and J. Ponce, "Automatic Model Construction, Pose Estimation, and Object Recognition from Photographs using Triangular Splines," PAMI, 20, 10, 1091-1096, 1998.
15. G. Slabaugh, B.W. Culbertson, T. Malzbender, M.R. Stevens and R. Schafer, "Methods for Volumetric Reconstruction of Visual Scenes," In IJCV, Vol. 57(3), pp.179-199,2004.
16. R. Cipolla and P. Giblin, "Visual Motion of curves and surfaces," Cambridge Univ. Press, 2000.
17. D. Scharstein and R. Szeliski, "A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms," In Int. Journal of Computer Vision, Vol 47(1-3) pp 7-42,2002.
18. S.M. Seitz and C.R. Dyer, "Photorealistic Scene Reconstruction by Voxel Coloring," In Proc CVPR, pp.1067-1073, 1997.
19. R. Yang, M. Pollefeys and G. Welch, "Dealing with Texture-less Regions and Specular Highlights: A Progressive Space Carving Scheme Using A Novel Photo-consistency Measure," In Proc ICCV, pp. 576-585, 2003.
20. T.H. Cormen,C.E. Leiserson,R.L. Rivest and C. Stein, "Introduction to Algorithms", MIT Press, 2nd. Ed., 2001.