Polarization Human Shape and Pose Dataset

• URL: http://arxiv.org/abs/2004.14899v2
• Date: Wed, 29 Jul 2020 23:48:40 GMT
• Title: Polarization Human Shape and Pose Dataset
• Authors: Shihao Zou, Xinxin Zuo, Yiming Qian, Sen Wang, Chuan Guo, Chi Xu, Minglun Gong, and Li Cheng
• Abstract summary: Polarization images are known to capture polarized reflected lights that preserve rich geometric cues of an object. Inspired by the recent breakthroughs in human shape estimation from a single color image, we attempt to investigate the new question of whether the geometric cues from polarization camera could be leveraged in estimating detailed human body shapes.
• Score: 35.156049015251035
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Polarization images are known to be able to capture polarized reflected lights that preserve rich geometric cues of an object, which has motivated its recent applications in reconstructing detailed surface normal of the objects of interest. Meanwhile, inspired by the recent breakthroughs in human shape estimation from a single color image, we attempt to investigate the new question of whether the geometric cues from polarization camera could be leveraged in estimating detailed human body shapes. This has led to the curation of Polarization Human Shape and Pose Dataset (PHSPD), our home-grown polarization image dataset of various human shapes and poses.

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