CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds
Author:
Affiliation:
1. Peking University,CFCS
2. Shandong University
3. UCSD
4. Stanford University
Funder
Samsung
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9709627/9709628/09711093.pdf?arnumber=9711093
Reference39 articles.
1. On the Continuity of Rotation Representations in Neural Networks
2. Probabilistic object tracking using a range camera
3. se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
4. Real-time hand-tracking with a color glove;wang;ACM Transactions on Graphics,2009
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