Daniel Scharstein 个人学术档案

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合著作者

Richard SzeliskiCSE, The University of Washington在 cs.washington.edu 的电子邮件经过验证
Heiko HirschmüllerRoboception GmbH在 roboception.de 的电子邮件经过验证
Carsten RotherProfessor Uni Heidelberg / Germany在 iwr.uni-heidelberg.de 的电子邮件经过验证
Michael J. BlackMax Planck Institute for Intelligent Systems在 tuebingen.mpg.de 的电子邮件经过验证
Olga VekslerSchool of Computer Science, University of Waterloo在 uwaterloo.ca 的电子邮件经过验证
Marshall TappenResearch Scientist at Amazon.com (Formerly Prof. At UCF)在 cs.ucf.edu 的电子邮件经过验证
Aseem AgarwalaAdobe在 agarwala.org 的电子邮件经过验证
Vladimir KolmogorovIST Austria在 ist.ac.at 的电子邮件经过验证
Ramin ZabihProfessor of Computer Science, Cornell University在 cs.cornell.edu 的电子邮件经过验证
Sudipta N. SinhaPrincipal Researcher, Microsoft在 microsoft.com 的电子邮件经过验证
Steve SeitzProfessor of Computer Science & Engineering, University of Washington; Google Corporation在 cs.washington.edu 的电子邮件经过验证
Brian CurlessProfessor of Computer Science & Engineering, University of Washington在 cs.washington.edu 的电子邮件经过验证
Stefan RothProfessor of Computer Science, TU Darmstadt在 cs.tu-darmstadt.de 的电子邮件经过验证
J P LewisNVIDIA Research and Victoria University在 computer.org 的电子邮件经过验证
Simon BakerDistinguished Engineer, nVidia Corporation在 nvidia.com 的电子邮件经过验证
Chris PalProfessor, Polytechnique Montréal & Mila, ServiceNow Research, Canada CIFAR AI Chair在 polymtl.ca 的电子邮件经过验证
Michael GoeseleMeta Reality Labs Research在 goesele.org 的电子邮件经过验证
Johannes KopfFacebook在 johanneskopf.de 的电子邮件经过验证
Todd ZicklerProfessor of Electrical Engineering and Computer Science, Harvard University在 seas.harvard.edu 的电子邮件经过验证
Ayan ChakrabartiGoogle Research在 google.com 的电子邮件经过验证

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Daniel Scharstein

Professor of Computer Science, Middlebury College

在 middlebury.edu 的电子邮件经过验证 - 首页

Computer Vision Robotics


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
A taxonomy and evaluation of dense two-frame stereo correspondence algorithms D Scharstein, R Szeliski International journal of computer vision 47, 7-42, 2002	10371	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	3375	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	3308	2011
High-accuracy stereo depth maps using structured light D Scharstein, R Szeliski 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003	2343	2003
Evaluation of cost functions for stereo matching H Hirschmuller, D Scharstein 2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007	1558	2007
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	1452	2014
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	1347	2008
Learning conditional random fields for stereo D Scharstein, C Pal 2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007	1148	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	979	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	538	2006
Stereo matching with nonlinear diffusion D Scharstein, R Szeliski International journal of computer vision 28, 155-174, 1998	452	1998
Object stereo—joint stereo matching and object segmentation M Bleyer, C Rother, P Kohli, D Scharstein, S Sinha CVPR 2011, 3081-3088, 2011	212	2011
Middlebury stereo vision page D Scharstein, R Szeliski, H Hirschmüller	210	2002
View synthesis using stereo vision D Scharstein Springer, 2003	188	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	158	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	145	2012
Matching images by comparing their gradient fields D Scharstein Proceedings of 12th International Conference on Pattern Recognition 1, 572-575, 1994	134	1994
Sampling the disparity space image R Szeliski, D Scharstein IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (3), 419-425, 2004	131	2004
Symmetric sub-pixel stereo matching R Szeliski, D Scharstein Computer Vision—ECCV 2002: 7th European Conference on Computer Vision …, 2002	124	2002
Stereo vision for view synthesis D Scharstein Proceedings CVPR IEEE Computer Society Conference on Computer Vision and …, 1996	124	1996

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