3 papers
cs.CV2020
MulayCap: Multi-layer Human Performance Capture Using A Monocular Video Camera
Zhaoqi Su, Weilin Wan, Tao Yu +4
We introduce MulayCap, a novel human performance capture method using a monocular video camera without the need for pre-scanning. The method uses "multi-layer" representations for…
cs.CV2019
Part Segmentation for Highly Accurate Deformable Tracking in Occlusions via Fully Convolutional Neural Networks
Weilin Wan, Aaron Walsman, Dieter Fox
Successfully tracking the human body is an important perceptual challenge for robots that must work around people. Existing methods fall into two broad categories: geometric tracki…
cs.CV2017
Dynamic High Resolution Deformable Articulated Tracking
Aaron Walsman, Weilin Wan, Tanner Schmidt +1
The last several years have seen significant progress in using depth cameras for tracking articulated objects such as human bodies, hands, and robotic manipulators. Most approaches…