Data-Optimal Rectification for Fast and Accurate Stereovision

摘要

In this paper we propose rectification procedure for binocular stereoscopic vision that minimizes the loss of local image neighbourhood discriminability in rectified images. The optimality of the rectification is thus influenced by image contents. Such rectification helps seek for precise dense correspondences.