Abstract
Multimedia Ambiance Communication refers to a means of achieving shared-space communication in an immersive environment. The image space is mainly based on photo-realistic texture. And some deformations which depend on human vision characteristics, or pictorial expressions such as long-range, mid-range, and short-range views, are introduced. In this paper we propose an approach to generate a disparity panorama dense enough to be used as a template for cutting out a texture image by the depth, i. e. structuring the scene into layers which give the information to construct the shared 3-D image space. For depth estimation, we make use of census transform for robust determination of correspondence of a stereo pair. For densification of the data, we make use of Region Competition.
