Dynamic segment-based sparse feature-point matching in articulate motion
We propose an algorithm for identifying articulated motion. The motion is represented by a sequence of 3D sparse feature-point data. The algorithm emphasizes a self-initializing identification phase for each uninterrupted data sequence, typically at the beginning or on resumption of tracking. We com...
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| Main Authors: | , |
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| Format: | Default Conference proceeding |
| Published: |
2002
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/20265 |
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