Stereo matching by optimization using weak environmental constraints

Antonella Branca; Ettore Stella; Giovanni Attolico; Arcangelo Distante

doi:10.1117/12.256276

29 October 1996 Stereo matching by optimization using weak environmental constraints

Antonella Branca, Ettore Stella, Giovanni Attolico, Arcangelo Distante

Proceedings Volume 2904, Intelligent Robots and Computer Vision XV: Algorithms, Techniques,Active Vision, and Materials Handling; (1996) https://doi.org/10.1117/12.256276
Event: Photonics East '96, 1996, Boston, MA, United States

Abstract

Our goal is to match primitives of a pair of images, thereby solving the correspondence problem, in order to estimate depths of 3D scene points from the relative distance between matched features. We propose a feature-based approach to solve the correspondence problem by minimizing an appropriate energy function where constraints on radiometric similarity and projective geometric invariance of coplanar points are defined. The method can be seen as a correlation based approach which takes into account the projective invariance of coplanar points in computing the optimal matches.

Citation Download Citation

Antonella Branca, Ettore Stella, Giovanni Attolico, and Arcangelo Distante "Stereo matching by optimization using weak environmental constraints", Proc. SPIE 2904, Intelligent Robots and Computer Vision XV: Algorithms, Techniques,Active Vision, and Materials Handling, (29 October 1996); https://doi.org/10.1117/12.256276

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