Self calibration of a road stereo color vision system using a similarity criterion

In this article, we address the problem of self calibrating an embedded stereoscopic color vision system, by matching interest points, and computing the related fundamental matrix. We propose a new method based on similarity of image areas surrounding automatically detected interest points. We provide some experimental results, and compare these to those obtained with a classical method