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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sánchez-Riera, J. Östlund, J. Fua, P. Moreno-Noguer, F. |
| Copyright Year | 2010 |
| Description | Author affiliation: EPFL - CVLab, Lausanne, Switzerland (Östlund, J.; Fua, P.) || Institut de Robòtica i, Informàtica Industrial (CSIC-UPC), Barcelona, Spain (Moreno-Noguer, F.) || Perception Team, INRIA, Grenoble, France (Sánchez-Riera, J.) |
| Abstract | Recent works have shown that 3D shape of non-rigid surfaces can be accurately retrieved from a single image given a set of 3D-to-2D correspondences between that image and another one for which the shape is known. However, existing approaches assume that such correspondences can be readily established, which is not necessarily true when large deformations produce significant appearance changes between the input and the reference images. Furthermore, it is either assumed that the pose of the camera is known, or the estimated solution is pose-ambiguous. In this paper we relax all these assumptions and, given a set of 3D and 2D unmatched points, we present an approach to simultaneously solve their correspondences, compute the camera pose and retrieve the shape of the surface in the input image. This is achieved by introducing weak priors on the pose and shape that we model as Gaussian Mixtures. By combining them into a Kalman filter we can progressively reduce the number of 2D candidates that can be potentially matched to each 3D point, while pose and shape are refined. This lets us to perform a complete and efficient exploration of the solution space and retain the best solution. |
| Starting Page | 1189 |
| Ending Page | 1196 |
| File Size | 3415991 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424469840 |
| ISSN | 10636919 |
| e-ISBN | 9781424469857 |
| DOI | 10.1109/CVPR.2010.5539831 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Shape Cameras Image reconstruction Image retrieval Surface reconstruction Computer vision Application software Orbital robotics Robot vision systems Computer graphics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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