Modeling spatial relations of human body parts for indexing and retrieving close character interactions
Author(s)
Chan, Jacky Chun Pong
Author(s)
Ho, E. S. L.
Cheung, Y.-M.
Yuen, P. C.
Date Issued
2016
Publisher
Association for Computing Machinery
Related Publication(s)
VRST '15: Proceedings of the 21st ACM Symposium on Virtual Reality Software and Technology
Start page
187
End page
190
Abstract
Retrieving pre-captured human motion for analyzing and synthesizing virtual character movement have been widely used in Virtual Reality (VR) and interactive computer graphics applications. In this paper, we propose a new human pose representation, called Spatial Relations of Human Body Parts (SRBP), to represent spatial relations between body parts of the subject(s), which intuitively describes how much the body parts are interacting with each other. Since SRBP is computed from the local structure (i.e. multiple body parts in proximity) of the pose instead of the information from individual or pairwise joints as in previous approaches, the new representation is robust to minor variations of individual joint location. Experimental results show that SRBP outperforms the existing skeleton-based motion retrieval and classification approaches on benchmark databases.
SFU Affiliated Publication
No
Availability at SFU Library
No database links found.