D. Scharstein

Most-cited papers

A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
D. Scharstein, R. Szeliski, R. Zabih
2001Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001)8,046 citations
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A Database and Evaluation Methodology for Optical Flow
Simon Baker, D. Scharstein, J. P. Lewis, Stefan Roth +2 more
2007IEEE International Conference on Computer Vision2,955 citations Open access
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A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
Steven M. Seitz, B. Curless, J. Diebel, D. Scharstein +1 more
2006Computer Vision and Pattern Recognition2,929 citations
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High-accuracy stereo depth maps using structured light
D. Scharstein, R. Szeliski
20032003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.1,877 citations
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High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth
D. Scharstein, H. Hirschmüller, York Kitajima, Greg Krathwohl +3 more
2014German Conference on Pattern Recognition1,537 citations
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Evaluation of Cost Functions for Stereo Matching
H. Hirschmüller, D. Scharstein
20072007 IEEE Conference on Computer Vision and Pattern Recognition1,272 citations
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A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors
R. Szeliski, R. Zabih, D. Scharstein, Olga Veksler +4 more
2008IEEE Transactions on Pattern Analysis and Machine Intelligence1,072 citations Open access
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Learning Conditional Random Fields for Stereo
D. Scharstein, C. Pal
20072007 IEEE Conference on Computer Vision and Pattern Recognition1,017 citations
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Evaluation of Stereo Matching Costs on Images with Radiometric Differences
H. Hirschmüller, D. Scharstein
2009IEEE Transactions on Pattern Analysis and Machine Intelligence790 citations Open access
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A Comparative Study of Energy Minimization Methods for Markov Random Fields
R. Szeliski, R. Zabih, D. Scharstein, Olga Veksler +4 more
2006European Conference on Computer Vision473 citations Open access
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Stereo Matching with Nonlinear Diffusion
D. Scharstein, R. Szeliski
1996Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition269 citations
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Capturing and Inferring Dense Full-Body Human-Scene Contact
C. Huang, Hong-Wei Yi, Markus Hoschle, Matvey Safroshkin +4 more
2022Computer Vision and Pattern Recognition235 citations Open access
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Object stereo — Joint stereo matching and object segmentation
M. Bleyer, C. Rother, Pushmeet Kohli, D. Scharstein +1 more
2011Computer Vision and Pattern Recognition185 citations
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A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
D. Scharstein, R. Szeliski
2001164 citations
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Image-based rendering for scenes with reflections
Sudipta N. Sinha, J. Kopf, M. Goesele, D. Scharstein +1 more
2012ACM Transactions on Graphics139 citations Open access
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View Synthesis Using Stereo Vision
D. Scharstein
2001Lecture Notes in Computer Science138 citations
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Efficient High-Resolution Stereo Matching Using Local Plane Sweeps
Sudipta N. Sinha, D. Scharstein, R. Szeliski
20142014 IEEE Conference on Computer Vision and Pattern Recognition131 citations
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Stereo Matching with Non-linear Diiusion
D. Scharstein, R. Szeliski
1996120 citations
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Matching images by comparing their gradient fields
D. Scharstein
1994Proceedings of 12th International Conference on Pattern Recognition104 citations
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An Empirical Camera Model for Internet Color Vision
Ayan Chakrabarti, D. Scharstein, Todd Zickler
2009British Machine Vision Conference99 citations
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Symmetric Sub-Pixel Stereo Matching
R. Szeliski, D. Scharstein
2002European Conference on Computer Vision98 citations
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Image-based rendering in the gradient domain
J. Kopf, Fabian Langguth, D. Scharstein, R. Szeliski +1 more
2013ACM Transactions on Graphics91 citations
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Sampling the disparity space image
R. Szeliski, D. Scharstein
2004IEEE Transactions on Pattern Analysis and Machine Intelligence91 citations
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Mobile robot navigation using self-similar landmarks
Amy J. Briggs, D. Scharstein, Darius Braziunas, C. Dima +1 more
2000Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065)83 citations
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Stereo vision for view synthesis
D. Scharstein
1996Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition83 citations
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A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction
Andreas Kuhn, H. Hirschmüller, D. Scharstein, H. Mayer
2017International Journal of Computer Vision61 citations
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Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images
Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell +3 more
2013IEEE Transactions on Pattern Analysis and Machine Intelligence53 citations Open access
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Multiple Plane Detection in Image Pairs Using J-Linkage
David F. Fouhey, D. Scharstein, Amy J. Briggs
2010International Conference on Pattern Recognition39 citations
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Submitted to Ieee Transactions on Pattern Analysis and Machine Intelligence Real-time Recognition of Self-similar Landmarks
D. Scharstein, Amy J. Briggs
39 citations
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Expected Shortest Paths for Landmark-Based Robot Navigation
Amy J. Briggs, C. Detweiler, D. Scharstein, A. Vandenberg-Rodes
2004Int. J. Robotics Res.37 citations
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On Learning Conditional Random Fields for Stereo
C. Pal, Jerod J. Weinman, Lam C. Tran, D. Scharstein
2010International Journal of Computer Vision35 citations
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Semi-global Stereo Matching with Surface Orientation Priors
D. Scharstein, Tatsunori Taniai, Sudipta N. Sinha
2017International Conference on 3D Vision33 citations Open access
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A TV Prior for High-Quality Local Multi-view Stereo Reconstruction
Andeas Kuhn, H. Mayer, H. Hirschmüller, D. Scharstein
2014International Conference on 3D Vision25 citations
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Robot navigation using 1D panoramic images
Amy J. Briggs, Yunpeng Li, D. Scharstein, Matt Wilder
2006Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006.25 citations
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Optimal placement of convex polygons to maximize point containment
M. Dickerson, D. Scharstein
1996ACM-SIAM Symposium on Discrete Algorithms25 citations Open access
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A Practical Stereo Depth System for Smart Glasses
Jialiang Wang, D. Scharstein, Akash Bapat, Kevin Blackburn-Matzen +10 more
2022Computer Vision and Pattern Recognition19 citations Open access
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Multi-frame stereo matching with edges, planes, and superpixels
Tianfan Xue, Andrew Owens, D. Scharstein, M. Goesele +1 more
2019Image and Vision Computing19 citations Open access
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Real-time recognition of self-similar landmarks
D. Scharstein, Amy J. Briggs
2001Image and Vision Computing19 citations
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Matching scale-space features in 1D panoramas
Amy J. Briggs, C. Detweiler, Yunpeng Li, P. Mullen +1 more
2006Computer Vision and Image Understanding16 citations
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Scale-Space Features in 1D Omnidirectional Images
Amy J. Briggs, C. Detweiler, P. Mullen, D. Scharstein
200416 citations
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Reliable Mobile Robot Navigation From Unreliable Visual Cues
Amy J. Briggs, D. Scharstein, Stephen Abbott
200016 citations
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Fast Recognition of Self-Similar Landmarks
D. Scharstein, Amy J. Briggs
19998 citations
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Feature Matching Across 1D Panoramas
Amy J. Briggs, Yunpeng Li, D. Scharstein
20055 citations
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A Gradient-Based Evidence Measure for Image Matching
D. Scharstein
19945 citations
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A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction
Andreas Kuhn, H. Hirschmüller, D. Scharstein, H. Mayer
2016International Journal of Computer Vision4 citations
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Sparse Message Passing and Efficiently Learning Random Fields for Stereo Vision
Jerod J. Weinman, C. Pal, D. Scharstein
20073 citations
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Ego-1K - A Large-Scale Multiview Video Dataset for Egocentric Vision
Jae Yong Lee, D. Scharstein, Akash Bapat, Hao Hu +10 more
2026arXiv.org2 citations
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Bounded-overhead caching for definite-clause theorem proving
Alberto Maria Segre, D. Scharstein
1993Journal of automated reasoning2 citations
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Computational Photography : Coded Exposure and Coded Aperture Imaging
S. Wehrwein, D. Scharstein
20101 citations
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Gradient-Based Stereo
D. Scharstein
19991 citations
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