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- Daniel Scharstein, Richard Szeliski
- International Journal of Computer Vision
- 2002
Stereo matching is one of the most active research areas in computer vision. While a large number of algorithms for stereo correspondence have been developed, relatively little work has been done on… (More)
- Simon Baker, Daniel Scharstein, J. P. Lewis, Stefan Roth, Michael J. Black, Richard Szeliski
- International Journal of Computer Vision
- 2007
The quantitative evaluation of optical flow algorithms by Barron et al. (1994) led to significant advances in performance. The challenges for optical flow algorithms today go beyond the datasets and… (More)
- Steven M. Seitz, Brian Curless, James Diebel, Daniel Scharstein, Richard Szeliski
- 2006 IEEE Computer Society Conference on Computer…
- 2006
This paper presents a quantitative comparison of several multi-view stereo reconstruction algorithms. Until now, the lack of suitable calibrated multi-view image datasets with known ground truth (3D… (More)
- Daniel Scharstein, Richard Szeliski
- CVPR
- 2003
Recent progress in stereo algorithm performance is quickly outpacing the ability of existing stereo data sets to discriminate among the best-performing algorithms, motivating the need for more… (More)
- Richard Szeliski, Ramin Zabih, +5 authors Carsten Rother
- IEEE Transactions on Pattern Analysis and Machine…
- 2008
Among the most exciting advances in early vision has been the development of efficient energy minimization algorithms for pixel-labeling tasks such as depth or texture computation. It has been known… (More)
- Heiko Hirschmüller, Daniel Scharstein
- IEEE Transactions on Pattern Analysis and Machine…
- 2009
Stereo correspondence methods rely on matching costs for computing the similarity of image locations. We evaluate the insensitivity of different costs for passive binocular stereo methods with… (More)
- Heiko Hirschmüller, Daniel Scharstein
- 2007 IEEE Conference on Computer Vision and…
- 2007
Stereo correspondence methods rely on matching costs for computing the similarity of image locations. In this paper we evaluate the insensitivity of different matching costs with respect to… (More)
- Daniel Scharstein, Christopher Joseph Pal
- 2007 IEEE Conference on Computer Vision and…
- 2007
State-of-the-art stereo vision algorithms utilize color changes as important cues for object boundaries. Most methods impose heuristic restrictions or priors on disparities, for example by modulating… (More)
- Daniel Scharstein, Heiko Hirschmüller, +4 authors Porter Westling
- GCPR
- 2014
We present a structured lighting system for creating highresolution stereo datasets of static indoor scenes with highly accurate ground-truth disparities. The system includes novel techniques for… (More)
- Richard Szeliski, Ramin Zabih, +5 authors Carsten Rother
- ECCV
- 2006
One of the most exciting advances in early vision has been the development of efficient energy minimization algorithms. Many early vision tasks require labeling each pixel with some quantity such as… (More)