REGION-BASED TOP-DOWN SEGMENTATION CONTROLLED BY STEREO MATCHING
Sabine Randriamasy, André Gagalowicz · 1992
This paper describes experimental algorithms developed to investigate the problems of region based segmentation and matching processes on black and white and color stereo pairs of images. Our goal is twofolds: make these operations as automatic as possible and have them cooperate with each other. A cooperative automatic top-down segmentation algorithm is proposed. The two segmentation trees are constructed progressively: regions are validated if a satisfying match is found, and then their division is stopped in the trees. The algorithm is data driven and produces usable output for the matching and 3-D reconstruction processes even from the first division steps. INTRODUCTION The presented algorithms participate in a tasks sequence for stereo vision where a fundamental task to solve is the visual discrimination of objects and their location in space. To achieve this goal, the main steps are successively: segmentation of a stereo pair of images, stereo matching of the regions, extracte...