Geometry Image Resizing and Mesh Simplification
| Shu-Fan Wang | Yi-Ling Chen | Chen-Kuo Chiang | Shang-Hong Lai |
| shufan(at)cs.nthu.edu.tw | yiling(at)cs.nthu.edu.tw | ckchiang(at)cs.nthu.edu.tw | lai(at)cs.nthu.edu.tw |
| NTHU | NTHU | NTHU | NTHU |
Project summary
Polygonal meshes are widely used to represent the shape of 3D objects and the generation of multi-resolution models has been a significant research topic in computer graphics. In this project, we demonstrate how to generate multi-resolution models through 2D image processing techniques. The goal of generating multi-resolution models is accomplished by resizing the corresponding geometry images of 3D models. By defining appropriate energy on 2D images reflecting the importance of 3D vertices, we propose a modified content-aware image resizing algorithm suitable for geometry images, which achieves the preservation of salient structures and features in 3D models as well. We evaluate various image resizing techniques and show experimental results to validate the effectiveness of the proposed algorithm.
Related publications
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Content-Aware Geometry Image Resizing
Shu-Fan Wang, Yi-Ling Chen, Chen-Kuo Chiang, Bing-Yu Chen, Shang-Hong Lai and Tomoyuki Nishita
In Proceedings of Computer Graphics International 2010 (CGI'10), 2010. -
Surface Simplification by Image Retargeting
Shu-Fan Wang, Yi-Ling Chen, Chen-Kuo Chiang and Shang-Hong Lai
In Proceedings of Siggraph Asia (Sketch), 2009.
Last updated on November, 24, 2010.
