Sing Bing Kang, Richard Szeliski, and P. Anandan
It is generally recognized that 3-D models are compact representations for rendering. While pure image-based rendering techniques are capable of producing highly photorealistic outputs, the size of the input “model” is usually very large. The important issues in trading off geometry versus images include compactness of representation, photorealism of reconstructed views, and speed of rendering. In this paper, we describe our past work in modeling and rendering, and articulate lessons learnt. We then delineate our vision of an ideal rendering system that is capable of using spatially varying representations to produce an optimal mix of high compression and realistic rendering.
|Published in||International Conference on Image Processing (ICIP-2000)|