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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Strecha, C. Fransens, R. Van Gool, L. |
| Copyright Year | 2006 |
| Description | Author affiliation: K.U.Leuven-ESAT-Psi, Belgium (Strecha, C.) |
| Abstract | In this paper, we present a generative model based approach to solve the multi-view stereo problem. The input images are considered to be generated by either one of two processes: (i) an inlier process, which generates the pixels which are visible from the reference camera and which obey the constant brightness assumption, and (ii) an outlier process which generates all other pixels. Depth and visibility are jointly modelled as a hiddenMarkov Random Field, and the spatial correlations of both are explicitly accounted for. Inference is made tractable by an EM-algorithm, which alternates between estimation of visibility and depth, and optimisation of model parameters. We describe and compare two implementations of the E-step of the algorithm, which correspond to the Mean Field and Bethe approximations of the free energy. The approach is validated by experiments on challenging real-world scenes, of which two are contaminated by independently moving objects. |
| Starting Page | 2394 |
| Ending Page | 2401 |
| File Size | 625291 |
| Page Count | 8 |
| File Format | |
| ISBN | 0769525970 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.2006.78 |
| 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 | Layout Hidden Markov models Stereo vision Pixel Brightness Noise level Kernel Cameras Inference algorithms Rendering (computer graphics) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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