Motion capture data recovery using skeleton constrained singular value thresholding

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

11 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)1521-1532
Journal / PublicationVisual Computer
Volume31
Issue number11
Publication statusPublished - 27 Sep 2014
Externally publishedYes

Abstract

Motion capture data could be missing due to imperfections during the acquisition process. Singular value thresholding (SVT) 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 SVT method for mocap recovery to include skeleton constraints. On average, our proposed method improves on the SVT method by 40 %, and performs 4 % better than a recent state-of-the-art method at up to 11 times faster computation time.

Research Area(s)

  • Matrix completion, Mocap recovery, Motion capture

Citation Format(s)

Motion capture data recovery using skeleton constrained singular value thresholding. / Tan, Cheen-Hau; Hou, JunHui; Chau, Lap-Pui.

In: Visual Computer, Vol. 31, No. 11, 27.09.2014, p. 1521-1532.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review