Motion capture data recovery using skeleton constrained singular value thresholding
Motion capture data could be missing due to imperfections during the acquisition process. Singular Value Thresholding is an effective method to recover missing motion capture data. However, its effectiveness decreases significantly when markers are missing for longer periods of time. To alleviat...
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| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/103460 http://hdl.handle.net/10220/24494 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Motion capture data could be missing due to imperfections
during the acquisition process. Singular Value Thresholding
is an effective method to recover missing motion capture data.
However, its effectiveness decreases significantly when markers
are missing for longer periods of time. To alleviate this problem,
we utilize the fact that human bones are rigid to constrain
inter-marker distances of specific sets of markers. We extend
the Singular Value Thresholding method for mocap recovery to
include skeleton constraints. On average, our proposed method
improves on the Singular Value Thresholding method by 40%,
and performs 4% better than a recent state of the art method
at up to 11 times faster computation time. |
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