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• W2022277982 abstract "In this paper, we propose a practical, elegant and effective scheme for compact mocap data representation. Guided by our analysis of the unique properties of mocap data, the input mocap sequence is optimally segmented into a set of subsequences. Then, we project the subsequences onto a pair of computational orthogonal matrices to explore strong low-rank characteristic within and among the subsequences. The experimental results show that the proposed scheme is much more effective for reducing the data size, compared with the existing techniques." @default.
• W2022277982 created "2016-06-24" @default.
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• W2022277982 date "2014-10-01" @default.
• W2022277982 modified "2023-09-23" @default.
• W2022277982 title "Low-rank based compact representation of motion capture data" @default.
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• W2022277982 doi "https://doi.org/10.1109/icip.2014.7025296" @default.
• W2022277982 hasPublicationYear "2014" @default.
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