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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hilsmann, A. Eisert, P. |
| Copyright Year | 2008 |
| Description | Author affiliation: Fraunhofer Inst. for Telecommun., Berlin (Hilsmann, A.; Eisert, P.) |
| Abstract | In this paper, we present a method for tracking and retexturing of garments that exploits the entire image information using the optical flow constraint instead of working with distinct features. In a hierarchical framework we refine the motion model with every level. The motion model is used to regularize the optical flow field such that finding the best transformation amounts in minimizing an error function that can be solved in a least squares sense. Knowledge about the position and deformation of the garment in 2D allows us to erase the old texture and replace it by a new one with correct deformation and shading properties without 3D reconstruction. Additionally, it provides an estimation of the irradiance such that the new texture can be illuminated realistically. |
| Starting Page | 845 |
| Ending Page | 848 |
| File Size | 573759 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424417650 |
| ISSN | 15224880 |
| DOI | 10.1109/ICIP.2008.4711887 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image motion analysis Clothing Optical sensors Biomedical optical imaging Tracking Video sequences Image reconstruction Cameras Least squares methods Biomedical imaging Virtual Clothing Optical Flow Garment Tracking Deformable Meshes |
| Content Type | Text |
| Resource Type | Article |
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