论文标题
极化人形和姿势数据集
Polarization Human Shape and Pose Dataset
论文作者
论文摘要
已知偏振图像能够捕获对物体的丰富几何形状提示的偏振反射灯，这激发了其最近在重建感兴趣对象的详细表面正常状态时的应用。同时，我们受到单个颜色图像的最新突破估计的突破的启发，我们试图研究新的问题，即在估计详细的人体形状时，是否可以利用来自极化相机的几何提示。这导致了人类形状和姿势数据集（PHSPD）的策划，这是我们本地生长的极化图像数据集的各种人类形状和姿势。
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.
