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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Roy-Chowdhury, A.K. |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Electr. Eng., California Univ., Riverside, CA, USA (Roy-Chowdhury, A.K.) |
| Abstract | In this paper, we present an algorithm for estimating the 3D model of a deformable shape from a video sequence. Our method assumes that a deformable shape sequence can be represented by a linear combination of basis shapes, where the weights assigned to each basis shape change with time. While there is existing work on estimating the basis shapes and their combination coefficients, they lack the crucial information about the number of basis shapes that are required for the model. This is usually determined through heuristics about the physics of the underlying structure. We show that it is possible to estimate the number of basis shapes from the tracked points obtained from the video sequence, using a scaled orthographic camera projection model. This estimate is then used to compute the 3D structure of each of the basis shapes. We present experimental results in recreating the structure of the human body during various activities from a video sequence. |
| Sponsorship | IEEE Signal Processing Soc |
| File Size | 1867159 |
| File Format | |
| ISBN | 0780388747 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2005.1415538 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-03-23 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Deformable models Video sequences Cameras Biological system modeling Humans Image reconstruction Active shape model Shape measurement Physics Motion analysis |
| Content Type | Text |
| Resource Type | Article |
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