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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gang Zeng Matsushita, Y. Long Quan Heung-Yeung Shum |
| Copyright Year | 2005 |
| Description | Author affiliation: Hong Kong Univ. of Sci. & Technol., Kowloon, China (Gang Zeng) |
| Abstract | Shape from shading (SfS) has always been difficult for real applications due to its intrinsic ill-posedness. In this paper, we propose an interactive SfS method which efficiently uses human knowledge in order to resolve ambiguity. We propose a global solution of continuous surfaces with a few constraints of surface normals that are interactively imposed to regularize the problem. A surface is divided into local patches, and each local solution is estimated with a fast marching SfS. It is shown that the boundaries of local solutions constitute a weighted Voronoi diagram, which allows for the formation of a global solution from the local ones. Finally, we optimize this global estimation by minimizing an energy functional based on shading and smoothness priors. Reconstruction results from both synthetic and real images demonstrate the usability of the new approach for various modeling applications. |
| Sponsorship | IEEE Comput. Soc |
| Starting Page | 343 |
| Ending Page | 350 |
| File Size | 1675749 |
| Page Count | 8 |
| File Format | |
| ISBN | 0769523722 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.2005.194 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-06-20 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Shape Humans Image reconstruction Computer vision Surface reconstruction Asia Layout Usability Application software Optical reflection Poisson Refinement Interaction Shape from Shading Fast Marching Shortest Path |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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