Sciweavers

Share
6 search results - page 1 / 2
» A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspo...
Sort
View
IJCV
2002
148views more  IJCV 2002»
9 years 10 months ago
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
Stereo matching is one of the most active research areas in computer vision. While a large number of algorithms for stereo correspondence have been developed, relatively little wo...
Daniel Scharstein, Richard Szeliski
ICIAP
2009
ACM
10 years 5 months ago
Dense Two-Frame Stereo Correspondence by Self-organizing Neural Network
This work aims at deļ¬ning an extension of a competitive method for matching correspondences in stereoscopic image analysis. The method we extended was proposed by Venkatesh, Y.V....
Marco Vanetti, Ignazio Gallo, Elisabetta Binaghi
MVA
2007
281views Computer Vision» more  MVA 2007»
10 years 3 days ago
Evaluation of Stereo Matching Systems for Real World Applications Using Structured Light for Ground Truth Estimation
In this paper we present an evaluation method for stereo matching systems and sensors especially for real world indoor applications. We estimate ground truth reference images by i...
Martin Humenberger, Daniel Hartermann, Wilfried Ku...
ICCVW
1999
Springer
10 years 3 months ago
An Experimental Comparison of Stereo Algorithms
While many algorithms for computing stereo correspondence have been proposed, there has been very little work on experimentally evaluating algorithm performance, especially using r...
Richard Szeliski, Ramin Zabih
IVC
2008
138views more  IVC 2008»
9 years 10 months ago
Reconstructing relief surfaces
This paper generalizes Markov Random Field (MRF) stereo methods to the generation of surface relief (height) fields rather than disparity or depth maps. This generalization enable...
George Vogiatzis, Philip H. S. Torr, Steven M. Sei...
books