Daniel Scharstein - Concepedia

Author

Daniel Scharstein

Middlebury College

Also Known As

D Scharstein, D. Scharstein, Daniel Scharstein, Scharstein, Daniel

Publications

21.7K

Citations

H-Index

Concepts

All Affiliations

Middlebury College Microsoft (United States)Cornell University Microsoft Research (United Kingdom)Technical University of Darmstadt

About

Daniel Scharstein is an author at Middlebury College specializing in engineering, computer vision, and machine vision.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	26	32	12.8K
2	Natural Sciences	18	20	9.7K
3	Computer Science	10	11	4.1K
4	Data Science	4	4	2.6K
5	Health Sciences	1	1	28

Daniel Scharstein

Publications

19.8K

Citations

H-Index

Page 1

	Year	Citations
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms Daniel Scharstein International Journal of Computer Vision	2002	6.7K
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms Steven M. Seitz, Brian Curless, James Diebel, Geometric ModelingMachine VisionImage AnalysisEngineeringStereo Vision	2006	2.4K
A Database and Evaluation Methodology for Optical Flow Simon Baker, Daniel Scharstein, John Lewis, International Journal of Computer Vision Optical Flow AlgorithmsImage AnalysisMachine VisionEngineeringNatural Sciences	2010	2.2K
High-accuracy stereo depth maps using structured light Daniel Scharstein, Richard Szeliski Geometric ModelingCartographyMachine VisionImage AnalysisEngineering	2003	1.5K
Evaluation of Cost Functions for Stereo Matching Heiko Hirschmüller, Daniel Scharstein EngineeringStereo ImagingDepth MapImage AnalysisStereo Vision	2007	1.1K
A taxonomy and evaluation of dense two-frame stereo correspondence algorithms Daniel Scharstein, Richard Szeliski, Ramin Zabih Geometric ModelingImage AnalysisMachine VisionEngineeringStereo Vision	2002	1.1K
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors Rick Szeliski, Ramin Zabih, Daniel Scharstein, IEEE Transactions on Pattern Analysis and Machine Intelligence EngineeringEnergy MinimizationImage Sequence AnalysisImage AnalysisData Science	2008	978
Learning Conditional Random Fields for Stereo Daniel Scharstein, Chris Pal Machine VisionImage AnalysisMachine LearningData SciencePattern Recognition	2007	846
Evaluation of Stereo Matching Costs on Images with Radiometric Differences Heiko Hirschmüller, Daniel Scharstein IEEE Transactions on Pattern Analysis and Machine Intelligence EngineeringStereo ImagingDepth MapImage AnalysisData Science	2008	727
A Database and Evaluation Methodology for Optical Flow Simon Baker, Stefan Roth, Daniel Scharstein, Optical Flow AlgorithmsOptical Flow MethodsImage AnalysisMachine VisionEngineering	2007	603

Page 1