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ACCV
2010
Springer
12 years 11 months ago
Learning Image Structures for Optimizing Disparity Estimation
We present a method for optimizing the stereo matching process when it is applied to a series of images with similar depth structures. We observe that there are similar regions wit...
M. V. Rohith, Chandra Kambhamettu
ICPR
2008
IEEE
14 years 6 months ago
Towards estimation of dense disparities from stereo images containing large textureless regions
Stereo algorithms for structure reconstruction demand accurate disparities with low mismatch errors and false positives. Mismatch errors in large textureless regions force most ac...
Cathleen A. Geiger, Chandra Kambhamettu, Gowri Som...
BVAI
2007
Springer
13 years 11 months ago
Patterns of Binocular Disparity for a Fixating Observer
Abstract. Binocular information about the structure of a scene is contained in the relative positions of corresponding points in the two views. If the eyes rotate, in order to fix...
Miles E. Hansard, Radu Horaud
ICPR
2006
IEEE
13 years 10 months ago
Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure
A novel stereo matching algorithm is proposed that utilizes color segmentation on the reference image and a selfadapting matching score that maximizes the number of reliable corre...
Andreas Klaus, Mario Sormann, Konrad F. Karner
DAGM
2009
Springer
13 years 11 months ago
A Stereo Depth Recovery Method Using Layered Representation of the Scene
Recent progresses in stereo research imply that performance of the disparity estimation depends on the discontinuity localization in the disparity space which is generally predicat...
Tarkan Aydin, Yusuf Sinan Akgul