A novel algorithm for obtaining accurate dense disparity measurements and precise border localization from stereo pairs is proposed. The algorithm embodies a very effective variable support approach based on segmentation within a Scanline Optimization framework. The use of a variable support allows for precisely retrieving depth discontinuities while smooth surfaces are well recovered thanks to the minimization of a global function along multiple scanlines. Border localization is further enhanced by symmetrically enforcing the geometry of the scene along depth discontinuities. Experimental results show a significant accuracy improvement with respect to comparable stereo matching approaches.
Stereo Vision Enabling Precise Border Localization Within a Scanline Optimization Framework
Asian Conference on Computer Vision ; 2007 ; Tokyo, Japan November 18, 2007 - November 22, 2007
2007-01-01
11 pages
Article/Chapter (Book)
Electronic Resource
English
Stereo Matching Using Color Segmentation of Each Scanline
British Library Online Contents | 2000
|Improving Border Localization of Multi-Baseline Stereo Using Border-Cut
British Library Online Contents | 2009
|Real-Time Correlation-Based Stereo Vision with Reduced Border Errors
British Library Online Contents | 2002
|Scanline algorithms in the JPEG discrete cosine transform compressed domain
British Library Online Contents | 1996
|Active Appearance-Based Robot Localization Using Stereo Vision
British Library Online Contents | 2005
|