Image and video retexturing

✍ Scribed by Yanwen Guo; Jin Wang; Xiang Zeng; Zhongyi Xie; Hanqiu Sun; Qunsheng Peng

• Book ID: 102777120
• Publisher: John Wiley and Sons
• Year: 2005
• Tongue: English
• Weight: 543 KB
• Volume: 16
• Category: Article
• ISSN: 1546-4261
• DOI: 10.1002/cav.82

✦ Synopsis

Abstract

We propose a novel image/video retexturing approach that preserves the original shading effects without knowing the underlying surface and lighting conditions. For static images, we first introduce the Poisson equation‐based algorithm to simulate the texture distortion on the projected interest region of the underlying surface, while preserving the shading effect of the original image. We further work on videos by retexturing the key frame as static image and then propagating the results onto the other frames. In video retexturing, we have introduced the mesh based optimization for object tracking to avoid texture drifting, and the graph cut algorithm to effectively deal with visibility shift between frames. The graph cut algorithm is applied on a trimap along the boundary of the object to extract the textured part inside the trimap. The proposed approach is developed in image/video retexturing at nearly interactive rate, and our experimental results have showed the satisfactory performance of our approach. Copyright © 2005 John Wiley & Sons, Ltd.