Stereo vision enabling precise border localization within a scanline optimization framework

Authors:
Stefano Mattoccia;Federico Tombari;Luigi Di Stefano
Affiliations:
Department of Electronics Computer Science and Systems, University of Bologna, Bologna, Italy and Advanced Research Center on Electronic Systems 'Ercole De Castro', University of Bologna, Bologna, ...;Department of Electronics Computer Science and Systems, University of Bologna, Bologna, Italy and Advanced Research Center on Electronic Systems 'Ercole De Castro', University of Bologna, Bologna, ...;Department of Electronics Computer Science and Systems, University of Bologna, Bologna, Italy and Advanced Research Center on Electronic Systems 'Ercole De Castro', University of Bologna, Bologna, ...
Venue:
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Year:
2007

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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.