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A Database and Evaluation Methodology for Optical Flow
- S. Baker, Daniel Scharstein, J. P. Lewis, S. Roth, Michael J. Black, R. Szeliski
- Computer ScienceIEEE 11th International Conference on Computer…
- 26 December 2007
TLDR
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
- Daniel Scharstein, R. Szeliski
- Computer ScienceProceedings IEEE Workshop on Stereo and Multi…
- 9 December 2001
TLDR
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
- S. Seitz, B. Curless, J. Diebel, Daniel Scharstein, R. Szeliski
- Computer ScienceIEEE Computer Society Conference on Computer…
- 17 June 2006
TLDR
High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth
- Daniel Scharstein, H. Hirschmüller, P. Westling
- Computer Science, Environmental ScienceGCPR
- 2 September 2014
We present a structured lighting system for creating high-resolution stereo datasets of static indoor scenes with highly accurate ground-truth disparities. The system includes novel techniques for…
High-accuracy stereo depth maps using structured light
- Daniel Scharstein, R. Szeliski
- Computer ScienceIEEE Computer Society Conference on Computer…
- 18 June 2003
TLDR
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors
- R. Szeliski, R. Zabih, C. Rother
- Computer ScienceIEEE Transactions on Pattern Analysis and Machine…
- 1 June 2008
TLDR
Evaluation of Cost Functions for Stereo Matching
- H. Hirschmüller, Daniel Scharstein
- Computer ScienceIEEE Conference on Computer Vision and Pattern…
- 17 June 2007
TLDR
Evaluation of Stereo Matching Costs on Images with Radiometric Differences
- H. Hirschmüller, Daniel Scharstein
- Environmental ScienceIEEE Transactions on Pattern Analysis and Machine…
- 1 September 2009
TLDR
Learning Conditional Random Fields for Stereo
- Daniel Scharstein, C. Pal
- Computer ScienceIEEE Conference on Computer Vision and Pattern…
- 17 June 2007
TLDR
A Comparative Study of Energy Minimization Methods for Markov Random Fields
- R. Szeliski, R. Zabih, C. Rother
- Computer ScienceECCV
- 7 May 2006
TLDR
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