Human motion capture data recovery based on non-convex low-rank priors of temporal difference(非凸时序差分低秩约束的人体运动捕获数据恢复算法)
The objective of human motion capture data recovery is to recover the missing positions of motion markers and to remove noises. The existing low-rank matrix completion based methods that usually exploit the low-rank property underlying in human motion data matrix. However, as the frame number increa...
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Main Authors: | , , , |
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Format: | Article |
Language: | zho |
Published: |
Zhejiang University Press
2025-01-01
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Series: | Zhejiang Daxue xuebao. Lixue ban |
Subjects: | |
Online Access: | https://doi.org/10.3785/j.issn.1008-9497.2025.01.015 |
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