  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.
