Stereo Vision Enabling Precise Border Localization Within a Scanline Optimization Framework

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Stereo Vision Enabling Precise Border Localization Within a Scanline Optimization Framework

Mattoccia, Stefano / Tombari, Federico / Di Stefano, Luigi

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.

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Dokumentinformationen

Titel :

Stereo Vision Enabling Precise Border Localization Within a Scanline Optimization Framework

Beteiligte:

Yagi, Yasushi (Herausgeber:in) / Kang, Sing Bing (Herausgeber:in) / Kweon, In So (Herausgeber:in) / Zha, Hongbin (Herausgeber:in) / Mattoccia, Stefano (Autor:in) / Tombari, Federico (Autor:in) / Di Stefano, Luigi (Autor:in)

Kongress:

Asian Conference on Computer Vision ; 2007 ; Tokyo, Japan November 18, 2007 - November 22, 2007

Erschienen in:

Computer Vision – ACCV 2007 ; Kapitel : 51 ; 517-527

Lecture Notes in Computer Science ; 4844

Erscheinungsdatum :

2007-01-01

Format / Umfang :

11 pages

ISBN :

978-3-540-76390-1 , 978-3-540-76389-5

ISSN :