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Proceedings Paper

Stereo matching based on census transformation of image gradients
Author(s): C. Stentoumis; L. Grammatikopoulos; I. Kalisperakis; G. Karras; E. Petsa
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Paper Abstract

Although multiple-view matching provides certain significant advantages regarding accuracy, occlusion handling and radiometric fidelity, stereo-matching remains indispensable for a variety of applications; these involve cases when image acquisition requires fixed geometry and limited number of images or speed. Such instances include robotics, autonomous navigation, reconstruction from a limited number of aerial/satellite images, industrial inspection and augmented reality through smart-phones. As a consequence, stereo-matching is a continuously evolving research field with growing variety of applicable scenarios. In this work a novel multi-purpose cost for stereo-matching is proposed, based on census transformation on image gradients and evaluated within a local matching scheme. It is demonstrated that when the census transformation is applied on gradients the invariance of the cost function to changes in illumination (non-linear) is significantly strengthened. The calculated cost values are aggregated through adaptive support regions, based both on cross-skeletons and basic rectangular windows. The matching algorithm is tuned for the parameters in each case. The described matching cost has been evaluated on the Middlebury stereo-vision 2006 datasets, which include changes in illumination and exposure. The tests verify that the census transformation on image gradients indeed results in a more robust cost function, regardless of aggregation strategy.

Paper Details

Date Published: 21 June 2015
PDF: 11 pages
Proc. SPIE 9528, Videometrics, Range Imaging, and Applications XIII, 95280Q (21 June 2015); doi: 10.1117/12.2184763
Show Author Affiliations
C. Stentoumis, National Technical Univ. of Athens (Greece)
L. Grammatikopoulos, Technological Educational Institute of Athens (Greece)
I. Kalisperakis, Technological Educational Institute of Athens (Greece)
G. Karras, National Technical Univ. of Athens (Greece)
E. Petsa, Technological Educational Institute of Athens (Greece)


Published in SPIE Proceedings Vol. 9528:
Videometrics, Range Imaging, and Applications XIII
Fabio Remondino; Mark R. Shortis, Editor(s)

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