INFORMATION ACQUISITION IN STEREO VISION: FROM DISPARITY MAP TO SCENE DESCRIPTION
Zengfu Wang · International Journal of Information Acquisition · 2004
This paper addresses the problem of stereo vision from a new viewpoint. The problems of both depth determination and scene segmentation are considered as a whole. Based on the facts from psychophysical observations, we propose a multi-layered representation model for stereo vision and show that the problems of both depth determination and image segmentation can be solved simultaneously. The constraints and algorithms for formulating the model are described. A mechanism of interaction between depth perception and surface completion is used to integrate imperfect disparity data and image data to get the correct solution about depth maps of a scene. The experimental results show that the model is a useful as well as an effective one.