Motion capture data recovery using skeleton constrained singular value thresholding

被引：18

作者：

Tan, Cheen-Hau ^{[1
]}

Hou, JunHui ^{[1
]}

Chau, Lap-Pui ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore

来源：

VISUAL COMPUTER | 2015年 / 31卷 / 11期

关键词：

Motion capture; Mocap recovery; Matrix completion; MISSING MARKERS; TRACKING; MODELS;

D O I：

10.1007/s00371-014-1031-5

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：1521 / 1532

页数：12