Stereo matching by optimization using weak environmental constraints
Antonella Branca, Ettore Stella, Giovanni Attolico, Arcangelo Distante · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1996
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.