May 26, 2022, 1:12 a.m. | Erik Gärtner, Mykhaylo Andriluka, Hongyi Xu, Cristian Sminchisescu

cs.CV updates on arXiv.org arxiv.org

We focus on the task of estimating a physically plausible articulated human
motion from monocular video. Existing approaches that do not consider physics
often produce temporally inconsistent output with motion artifacts, while
state-of-the-art physics-based approaches have either been shown to work only
in controlled laboratory conditions or consider simplified body-ground contact
limited to feet. This paper explores how these shortcomings can be addressed by
directly incorporating a fully-featured physics engine into the pose estimation
process. Given an uncontrolled, real-world scene …

3d arxiv cv human optimization physics video

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