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Optical Flow Rendering
Authors:Tae-Joon Park  Sung Yong Shin  & Seungyong Lee
Affiliation:Department of Computer Science, Korea Advanced Institute of Science and Technology, Taejon, Korea,;Department of Computer Science and Engineering, Pohang University of Science and Technology, Pohang, Korea
Abstract:This paper proposes a new approach to image-based rendering that generates an image viewed from an arbitrary camera position and orientation by rendering optical flows extracted from reference images. To derive valid optical flows, we develop an analysis technique that improves the quality of stereo matching. Without using any special equipments such as range cameras, this technique constructs reliable optical flows from a sequence of matching results between reference images. We also derive validity conditions of optical flows and show that the obtained flows satisfy those conditions. Since environment geometry is inferred from the optical flows, we are able to generate more accurate images with this additional geometric information. Our approach makes it possible to combine an image rendered from optical flows with an image generated by a conventional rendering technique through a simple Z-buffer algorithm.
Keywords:image-based rendering  optical flow  stereo matching  depth information  warp function  statistical analysis  image composition
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