TMM

Hand Gesture Recognition from an Open-Set Perspective

Existing hand gesture recognition methods predominantly rely on a close-set assumption, which in essence limits the viewpoints, gesture categories, and hand shapes at test time to closely resemble those seen during training. This requirement is …

Human Pose and Shape Estimation from Single Polarization Images

This paper focuses on a new problem of estimating human pose and shape from single polarization images. Polarization camera is known to be able to capture the polarization of reflected lights that preserves rich geometric cues of an object surface. …

SparseFusion: Dynamic Human Avatar Modeling from Sparse RGBD Images

A novel approach to reconstruct 3D human body shapes based on a sparse set of RGBD frames using a single RGBD camera