CVPR 2005 Review (02) : Dense Stereo: Approaches, Designs and Implementation
Abstract
This talk deals with a number of aspects of dense, binocular stereo,
that include local matching operators, optimization methods and
constraints. The Middlebury Stereo Evaluation datasets are used to
evaluate the performance of the algorithms, which are not limited to CVPR
2005.
- D. Scharstein, Middlebury Stereo Evaluation Webpage,
www.middlebury.edu/stereo
- D. Scharstein and R. Szeliski, A Taxonomy and Evaluation of Dense
Two-Frame Stereo Correspondence Algorithms, IJCV 2002
- S. Birchfield and C. Tomasi, A pixel dissimilarity measure that is
insensitive to image sampling, PAMI 1998
- M. Okutomi, Y. Katayama and S. Oka, A Simple Stereo Algorithm to Recover
Precise Object Boundaries and Smooth Surfaces, IJCV 2002
- O. Veksler, Fast variable window for stereo correspondence using integral
images, CVPR 2003
- J.C. Kim, K.M. Lee, B.T. Choi and S.U. Lee, A Dense Stereo Matching Using
Two-Pass Dynamic Programming with Generalized Ground Control Points, CVPR
2005
- K.J. Yoon and I.S. Kweon, Locally Adaptive Support-Weight Approach for
Visual Correspondence Search, CVPR 2005
- J. Sun, Y. Li, S.B. Kang and H.Y. Shum, Symmetric Stereo Matching for
Occlusion Handling, CVPR 2005
- M. Gong and Y.H. Yang, Near Real-time Reliable Stereo Matching Using
Programmable Graphics Hardware, CVPR 2005
- H. Hirschmuller, Accurate and Efficient Stereo Processing by Semi-Global
Matching and Mutual Information, CVPR 2005
- Y. Boykov, O. Veksler and R. Zabih, Fast approximate energy minimization
via graph cuts, PAMI 2001
- V. Kolmogorov and R. Zabih, Computing visual correspondence with
occlusions via graph cuts, ICC 2001
- J. Sun, H.Y. Shum, and N.N. Zheng, Stereo matching using belief
propagation, ECCV 2002
- J. Sun, H.Y. Shum, and N.N. Zheng, Stereo matching using belief
propagation, PAMI 2003
- A. Ogale and Y. Aloimonos, Stereo correspondence with slanted surfaces:
Critical implications of horizontal slant, CVPR 2004