\textit{Lie-X}: depth image based articulated object pose estimation, tracking, and action recognition on Lie groups

DOI10.1007/S11263-017-0998-6zbMath1455.68225arXiv1609.03773OpenAlexW2521041279WikidataQ115379755 ScholiaQ115379755MaRDI QIDQ2193782

Chi Xu, Li Cheng, Lakshmi Narasimhan Govindarajan, Yu Zhang

Publication date: 20 August 2020

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1609.03773

zbMATH Keywords

Lie grouppose estimationmousefishdepth imageshuman hand

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Applications of Lie groups to the sciences; explicit representations (22E70) Machine vision and scene understanding (68T45)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• The study of shape transformation after D'Arcy Thompson
• Lie groups. An approach through invariants and representations
• Random forests

This page was built for publication: \textit{Lie-X}: depth image based articulated object pose estimation, tracking, and action recognition on Lie groups