DocumentCode :
3233791
Title :
Towards model-based capture of a persons shape, appearance and motion
Author :
Hilton, Adrian
Author_Institution :
Centre for Vision, Speech & Signal Process., Surrey Univ., Guildford, UK
fYear :
1999
fDate :
1999
Firstpage :
37
Lastpage :
44
Abstract :
This paper introduces a model-based approach to capturing a persons shape, appearance and movement. A 3D animated model of a clothed persons whole-body shape and appearance is automatically constructed from a set of orthogonal view colour images. The reconstructed model of a person is then used together with the least-squares inverse-kinematics framework of Bregler and Malik (1998) to capture simple 3D movements from a video image sequence
Keywords :
computer animation; image reconstruction; image sequences; 3D animated model; clothed persons; colour images; model-based capture; reconstructed model; video image sequence; whole-body shape; Animation; Avatars; Humans; Image reconstruction; Image sequences; Shape measurement; Signal processing; Speech processing; Tracking; Virtual environment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modelling People, 1999. Proceedings. IEEE International Workshop on
Conference_Location :
Kerkyra
Print_ISBN :
0-7695-0362-4
Type :
conf
DOI :
10.1109/PEOPLE.1999.798344
Filename :
798344
Link To Document :
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