Daniel Scharstein

According to our database, Daniel Scharstein authored at least 42 papers between 1993 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Practical Stereo Depth System for Smart Glasses.

Jialiang Wang, Daniel Scharstein, Akash Bapat, Kevin Blackburn-Matzen, Matthew Yu, Jonathan Lehman, Suhib Alsisan, Yanghan Wang, Sam S. Tsai, Jan-Michael Frahm, Zijian He, Peter Vajda, Michael F. Cohen, Matt Uyttendaele

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Capturing and Inferring Dense Full-Body Human-Scene Contact.

Chun-Hao P. Huang, Hongwei Yi, Markus Höschle, Matvey Safroshkin, Tsvetelina Alexiadis, Senya Polikovsky, Daniel Scharstein, Michael J. Black

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Guest Editorial: Special Issue on Performance Evaluation in Computer Vision.

Daniel Scharstein, Angela Dai, Daniel Kondermann, Torsten Sattler, Konrad Schindler

Int. J. Comput. Vis., 2021

2019

Multi-frame stereo matching with edges, planes, and superpixels.

Tianfan Xue, Andrew Owens, Daniel Scharstein, Michael Goesele, Richard Szeliski

Image Vis. Comput., 2019

2017

A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction.

Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer

Int. J. Comput. Vis., 2017

Mondrian stereo.

Dylan Quenneville, Daniel Scharstein

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Semi-global Stereo Matching with Surface Orientation Priors.

Daniel Scharstein, Tatsunori Taniai, Sudipta N. Sinha

Proceedings of the 2017 International Conference on 3D Vision, 2017

2014

Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images.

Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd E. Zickler, Kate Saenko

IEEE Trans. Pattern Anal. Mach. Intell., 2014

High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth.

Daniel Scharstein, Heiko Hirschmüller, York Kitajima, Greg Krathwohl, Nera Nesic, Xi Wang, Porter Westling

Proceedings of the Pattern Recognition - 36th German Conference, 2014

Efficient High-Resolution Stereo Matching Using Local Plane Sweeps.

Sudipta Narayan Sinha, Daniel Scharstein, Richard Szeliski

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

A TV Prior for High-Quality Local Multi-view Stereo Reconstruction.

Andreas Kuhn, Helmut Mayer, Heiko Hirschmüller, Daniel Scharstein

Proceedings of the 2nd International Conference on 3D Vision, 2014

2013

Image-based rendering in the gradient domain.

Johannes Kopf, Fabian Langguth, Daniel Scharstein, Richard Szeliski, Michael Goesele

ACM Trans. Graph., 2013

2012

Image-based rendering for scenes with reflections.

Sudipta N. Sinha, Johannes Kopf, Michael Goesele, Daniel Scharstein, Richard Szeliski

ACM Trans. Graph., 2012

On Learning Conditional Random Fields for Stereo - Exploring Model Structures and Approximate Inference.

Christopher J. Pal, Jerod J. Weinman, Lam C. Tran, Daniel Scharstein

Int. J. Comput. Vis., 2012

2011

A Database and Evaluation Methodology for Optical Flow.

Simon Baker, Daniel Scharstein, J. P. Lewis, Stefan Roth, Michael J. Black, Richard Szeliski

Int. J. Comput. Vis., 2011

Object stereo - Joint stereo matching and object segmentation.

Michael Bleyer, Carsten Rother, Pushmeet Kohli, Daniel Scharstein, Sudipta N. Sinha

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Multiple Plane Detection in Image Pairs Using J-Linkage.

David F. Fouhey, Daniel Scharstein, Amy J. Briggs

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009

Evaluation of Stereo Matching Costs on Images with Radiometric Differences.

Heiko Hirschmüller, Daniel Scharstein

IEEE Trans. Pattern Anal. Mach. Intell., 2009

An Empirical Camera Model for Internet Color Vision.

Ayan Chakrabarti, Daniel Scharstein, Todd E. Zickler

Proceedings of the British Machine Vision Conference, 2009

2008

A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors.

Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall F. Tappen, Carsten Rother

IEEE Trans. Pattern Anal. Mach. Intell., 2008

2007

Learning Conditional Random Fields for Stereo.

Daniel Scharstein, Chris Pal

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Evaluation of Cost Functions for Stereo Matching.

Heiko Hirschmüller, Daniel Scharstein

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Matching scale-space features in 1D panoramas.

Amy J. Briggs, Carrick Detweiler, Yunpeng Li, Peter C. Mullen, Daniel Scharstein

Comput. Vis. Image Underst., 2006

Robot Navigation using 1D Panoramic Images.

Amy J. Briggs, Yunpeng Li, Daniel Scharstein, Matt Wilder

Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

A Comparative Study of Energy Minimization Methods for Markov Random Fields.

Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall F. Tappen, Carsten Rother

Proceedings of the Computer Vision, 2006

A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms.

Steven M. Seitz, Brian Curless, James Diebel, Daniel Scharstein, Richard Szeliski

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2004

Sampling the Disparity Space Image.

Richard Szeliski, Daniel Scharstein

IEEE Trans. Pattern Anal. Mach. Intell., 2004

Expected Shortest Paths for Landmark-Based Robot Navigation.

Amy J. Briggs, Carrick Detweiler, Daniel Scharstein, Alexander Vandenberg-Rodes

Int. J. Robotics Res., 2004

2003

High-Accuracy Stereo Depth Maps Using Structured Light.

Daniel Scharstein, Richard Szeliski

Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002

A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms.

Daniel Scharstein, Richard Szeliski

Int. J. Comput. Vis., 2002

Symmetric Sub-Pixel Stereo Matching.

Richard Szeliski, Daniel Scharstein

Proceedings of the Computer Vision, 2002

2001

Real-time recognition of self-similar landmarks.

Daniel Scharstein, Amy J. Briggs

Image Vis. Comput., 2001

2000

Mobile Robot Navigation using Self-Similar Landmarks.

Amy J. Briggs, Daniel Scharstein, Darius Braziunas, Cristian Dima, Peter Wall

Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

1999

View Synthesis Using Stereo Vision

Daniel Scharstein

Lecture Notes in Computer Science 1583, Springer, ISBN: 3-540-66159-X, 1999

1998

Stereo Matching with Nonlinear Diffusion.

Daniel Scharstein, Richard Szeliski

Int. J. Comput. Vis., 1998

Optimal placement of convex polygons to maximize point containment.

Matthew Dickerson, Daniel Scharstein

Comput. Geom., 1998

1997

View Synthesis Using Sterio Vision.

Daniel Scharstein

PhD thesis, 1997

1996

Stereo Matching with Non-Linear Diffusion.

Daniel Scharstein, Richard Szeliski

Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), 1996

Stereo Vision for View Synthesis.

Daniel Scharstein

Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), 1996

The Rotation Diagram and Optimal Containing Placements of a Convex Polygon.

Matthew Dickerson, Daniel Scharstein

Proceedings of the Twelfth Annual Symposium on Computational Geometry, 1996

1994

Matching images by comparing their gradient fields.

Daniel Scharstein

Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993

Bounded-Overhead Caching for Definite-Clause Theorem Proving.

Alberto M. Segre, Daniel Scharstein

J. Autom. Reason., 1993