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About this paper
He Zhang, Shenghao Ren, Haolei Yuan, Jianhui Zhao, Fan Li, Shuangpeng Sun, Zhenghao Liang, Tao Yu and 2 more
MMVP records synchronized monocular RGBD video and foot pressure during large-range, fast motion, providing dense contact labels for motion-capture research. VP-MoCap predicts pressure and contact from keypoint sequences, then uses ground and temporal constraints to fit monocular video. On MMVP, its pelvis-trajectory offset error is 129.3 versus CLIFF’s 211.4, though not every metric improves.
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