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Content Provider | IEEE Xplore Digital Library |
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Author | Qihui Zhu Jianbo Shi |
Copyright Year | 2006 |
Description | Author affiliation: University of Pennsylvania, Philadelphia, PA (Qihui Zhu) |
Abstract | Resolving local ambiguities is an important issue for shape from shading (SFS). Pixel ambiguities of SFS can be eliminated by propagation approaches. However, patch ambiguities still exist. Therefore, we formulate the global disambiguation problem to resolve these ambiguities. Intuitively, it can be interpreted as flipping patches and adjusting heights such that the result surface has no kinks. The problem is intractable because exponentially many possible configurations need to be checked. Alternatively, we solve the integrability testing problems closely related to the original one. It can be viewed as finding a surface which satisfies the global integrability constraint. To encode the constraints, we introduce a graph formulation called configuration graph. Searching the solution on this graph can be reduced to a Max-cut problem and its solution is computuble using semidefinite programming (SDP) relaxation. Tests carried out on synthetic and real images show that the global disambiguation works well for complex shapes. |
Starting Page | 1839 |
Ending Page | 1846 |
File Size | 6149919 |
Page Count | 8 |
File Format | |
ISBN | 0769525970 |
ISSN | 10636919 |
DOI | 10.1109/CVPR.2006.275 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-06-17 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Shape Surface reconstruction Image reconstruction Equations Information science Testing Pixel Lighting Venus Computer Society |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Software |
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