<title>From vision to synthesis: a new approach to the integration of image analysis, computer vision, and image synthesis</title>

Abstract

Abstract We propose an approach to the integration of image analysis, computer vision and computer graphics. After motivating our work, we examine different techniques of the above mentioned areas. Within our investigation we are focussing on illumination, texture, geometry and motion which play an important rolein the different areas. The performance and restrictions of the models are evaluated. As a result, we areable to set up a framework for a common model which integrates the requirements of the different areas.In fact, this represents a first step to a common symbolic image representation. Finally, an outline of anintegrated system is stated based on the above examinations. First results gathered with a prototype systemfor the acquisition of 3d structure and texture from image sequences and the transfer to an animation andrendering system are presented. 1 INTRODUCTION In many diverse scientifIc and engineering applications such as medicine, earth science, photogrammetry,and robotics the processing of visual information has become more and more a central element. Techniquesfrom the fields of analysis, simulation, and visualization are applied to explore measured data, to extractinformation, and to present gained knowledge. However, these disciplines grew independently, and thereforethere is up til now a lack of common models. fladitionally, image analysis deals with the reconstruction ofsymbolic information derived from pixel data. On the other hand, image synthesis covers the generation ofgraphical and pixel representation from symbolic image descriptions to address the abilities of human visual