A Computational Framework for Image-Based Rendering and Modeling

Qian (George) Chen


Abstract

Recently, Image-Based Rendering and Modeling (IBRM) has raised the nterest from both the computer graphics and computer vision communities. By using photographs as rendering primitives, the goal is to achieve photo-realism.

In my last talk, I touched upon the concept of projective reconstruction and its computation and use in shape-from-stereo. In this talk, I will expand the idea to multiple non-parallel views, and show the result of a novel algorithm using matrix factorization and weighted least squares. This lays a computational framework for IBRM. Two applications will be demonstrated: view synthesis and object insertion. It is hoped that more multimedia applications such as face modeling/animation, virtual/augmented reality and 3-D video editing can be built on top of this research.

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Publications and results


Maintained by Alexandre R.J. FRANÇOIS