Daniel Scharstein

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Richard SzeliskiCSE, The University of WashingtonVerified email at cs.washington.edu
Heiko HirschmüllerRoboception GmbHVerified email at roboception.de
Carsten RotherProfessor Uni Heidelberg / GermanyVerified email at iwr.uni-heidelberg.de
Michael J. BlackMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Olga VekslerSchool of Computer Science, University of WaterlooVerified email at uwaterloo.ca
Marshall TappenResearch Scientist at Amazon.com (Formerly Prof. At UCF)Verified email at cs.ucf.edu
Aseem AgarwalaAdobeVerified email at agarwala.org
Vladimir KolmogorovIST AustriaVerified email at ist.ac.at
Ramin ZabihProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Simon BakerDistinguished Engineer, nVidia CorporationVerified email at nvidia.com
Sudipta N. SinhaPrincipal Researcher, MicrosoftVerified email at microsoft.com
Steve SeitzProfessor of Computer Science & Engineering, University of Washington; Google CorporationVerified email at cs.washington.edu
Brian CurlessProfessor of Computer Science & Engineering, University of WashingtonVerified email at cs.washington.edu
Stefan RothProfessor of Computer Science, TU DarmstadtVerified email at cs.tu-darmstadt.de
J P LewisNVIDIA Research and Victoria UniversityVerified email at computer.org
Chris PalProfessor, Polytechnique Montréal & Mila, ServiceNow Research, Canada CIFAR AI ChairVerified email at polymtl.ca
Michael GoeseleMeta Reality Labs ResearchVerified email at goesele.org
Johannes KopfFacebookVerified email at johanneskopf.de
Todd ZicklerProfessor of Electrical Engineering and Computer Science, Harvard UniversityVerified email at seas.harvard.edu
Ayan ChakrabartiGoogle ResearchVerified email at google.com

Daniel Scharstein

Professor of Computer Science, Middlebury College

Verified email at middlebury.edu - Homepage

Computer Vision Robotics


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A taxonomy and evaluation of dense two-frame stereo correspondence algorithms D Scharstein, R Szeliski International journal of computer vision 47, 7-42, 2002	10120	2002
A comparison and evaluation of multi-view stereo reconstruction algorithms SM Seitz, B Curless, J Diebel, D Scharstein, R Szeliski 2006 IEEE computer society conference on computer vision and pattern …, 2006	3175	2006
A database and evaluation methodology for optical flow S Baker, D Scharstein, JP Lewis, S Roth, MJ Black, R Szeliski International journal of computer vision 92, 1-31, 2011	3162	2011
High-accuracy stereo depth maps using structured light D Scharstein, R Szeliski 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003	2273	2003
Evaluation of cost functions for stereo matching H Hirschmuller, D Scharstein 2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007	1488	2007
A comparative study of energy minimization methods for markov random fields with smoothness-based priors R Szeliski, R Zabih, D Scharstein, O Veksler, V Kolmogorov, A Agarwala, ... IEEE transactions on pattern analysis and machine intelligence 30 (6), 1068-1080, 2008	1330	2008
High-resolution stereo datasets with subpixel-accurate ground truth D Scharstein, H Hirschmüller, Y Kitajima, G Krathwohl, N Nešić, X Wang, ... German Conference on Pattern Recognition, 31-42, 2014	1276	2014
Learning conditional random fields for stereo D Scharstein, C Pal 2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007	1086	2007
Evaluation of stereo matching costs on images with radiometric differences H Hirschmuller, D Scharstein IEEE transactions on pattern analysis and machine intelligence 31 (9), 1582-1599, 2008	949	2008
A comparative study of energy minimization methods for markov random fields R Szeliski, R Zabih, D Scharstein, O Veksler, V Kolmogorov, A Agarwala, ... Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006	522	2006
Stereo matching with nonlinear diffusion D Scharstein, R Szeliski International journal of computer vision 28, 155-174, 1998	448	1998
Middlebury stereo vision page D Scharstein, R Szeliski, H Hirschmüller	210	2002
Object stereo—joint stereo matching and object segmentation M Bleyer, C Rother, P Kohli, D Scharstein, S Sinha CVPR 2011, 3081-3088, 2011	207	2011
View synthesis using stereo vision D Scharstein Springer, 2003	186	2003
Efficient high-resolution stereo matching using local plane sweeps SN Sinha, D Scharstein, R Szeliski Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014	153	2014
Image-based rendering for scenes with reflections SN Sinha, J Kopf, M Goesele, D Scharstein, R Szeliski ACM Transactions on Graphics (TOG) 31 (4), 1-10, 2012	139	2012
Sampling the disparity space image R Szeliski, D Scharstein IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (3), 419-425, 2004	131	2004
Matching images by comparing their gradient fields D Scharstein Proceedings of 12th International Conference on Pattern Recognition 1, 572-575, 1994	130	1994
Symmetric sub-pixel stereo matching R Szeliski, D Scharstein Computer Vision—ECCV 2002: 7th European Conference on Computer Vision …, 2002	123	2002
Middlebury stereo evaluation-version 2 D Scharstein, R Szeliski The Middlebury Computer Vision Pages (online), available from (accessed 2015 …, 2011	119	2011

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