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Proceedings Paper

Stereo matching by optimization using weak environmental constraints
Author(s): Antonella Branca; Ettore Stella; Giovanni Attolico; Arcangelo Distante
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Paper 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.

Paper Details

Date Published: 29 October 1996
PDF: 8 pages
Proc. SPIE 2904, Intelligent Robots and Computer Vision XV: Algorithms, Techniques,Active Vision, and Materials Handling, (29 October 1996); doi: 10.1117/12.256276
Show Author Affiliations
Antonella Branca, Istituto Elaborazione Segnali ed Immagini/CNR (Italy)
Ettore Stella, Istituto Elaborazione Segnali ed Immagini/CNR (Italy)
Giovanni Attolico, Istituto Elaborazione Segnali ed Immagini/CNR (Italy)
Arcangelo Distante, Istituto Elaborazione Segnali ed Immagini/CNR (Italy)


Published in SPIE Proceedings Vol. 2904:
Intelligent Robots and Computer Vision XV: Algorithms, Techniques,Active Vision, and Materials Handling
David P. Casasent, Editor(s)

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