University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Human Motion Synthesis from 3D Video

Huang, P, Hilton, A and Starck, J (2009) Human Motion Synthesis from 3D Video Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. pp. 1478-1485.

huang09cvpr.pdf - Accepted version Manuscript
Available under License : See the attached licence file.

Download (749kB)
Text (licence)

Download (33kB)


Multiple view 3D video reconstruction of actor performance captures a level-of-detail for body and clothing movement which is time-consuming to produce using existing animation tools. In this paper we present a framework for concatenative synthesis from multiple 3D video sequences according to user constraints on movement, position and timing. Multiple 3D video sequences of an actor performing different movements are automatically constructed into a surface motion graph which represents the possible transitions with similar shape and motion between sequences without unnatural movement artifacts. Shape similarity over an adaptive temporal window is used to identify transitions between 3D video sequences. Novel 3D video sequences are synthesized by finding the optimal path in the surface motion graph between user specified key-frames for control of movement, location and timing. The optimal path which satisfies the user constraints whilst minimizing the total transition cost between 3D video sequences is found using integer linear programming. Results demonstrate that this framework allows flexible production of novel 3D video sequences which preserve the detailed dynamics of the captured movement for an actress with loose clothing and long hair without visible artifacts.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
Huang, P
Hilton, A
Starck, J
Date : 2009
DOI : 10.1109/CVPRW.2009.5206626
Contributors :
Additional Information :

Copyright 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Depositing User : Symplectic Elements
Date Deposited : 25 Jan 2012 13:55
Last Modified : 31 Oct 2017 14:18

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800