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.

S. Mattoccia, F. Tombari, L. Di Stefano (2007). Stereo vision enabling precise border localization within a scanline optimization framework. BERLIN : Springer.

Stereo vision enabling precise border localization within a scanline optimization framework

MATTOCCIA, STEFANO;TOMBARI, FEDERICO;DI STEFANO, LUIGI
2007

Abstract

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.
2007
Asian Conference on Computer Vision
1
11
S. Mattoccia, F. Tombari, L. Di Stefano (2007). Stereo vision enabling precise border localization within a scanline optimization framework. BERLIN : Springer.
S. Mattoccia; F. Tombari; L. Di Stefano
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/47790
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