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Proceedings Paper

Correlation based swarm trackers for 3-dimensional manifold mesh formation
Author(s): Charles Casey; Laurence G. Hassebrook; Priyanka Chaudhary
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Paper Abstract

Our group has developed several methods for acquiring 3-dimensional objects in motion which include facial expressions. For this to be practical we need to identify and track various features contained in facial expressions. To accomplish this we introduce a set of feature based trackers and propose strategies for combining them together to form meshes. We present our strategy in the context of swarm theory where the elements of the swarm are the feature trackers and the communication structure of the swarm is essentially a spatial mesh. We demonstrate the concepts with examples of facial feature tracking.

Paper Details

Date Published: 13 April 2009
PDF: 7 pages
Proc. SPIE 7340, Optical Pattern Recognition XX, 73400G (13 April 2009); doi: 10.1117/12.819420
Show Author Affiliations
Charles Casey, Univ. of Kentucky (United States)
Laurence G. Hassebrook, Univ. of Kentucky (United States)
Priyanka Chaudhary, Univ. of Kentucky (United States)

Published in SPIE Proceedings Vol. 7340:
Optical Pattern Recognition XX
David P. Casasent; Tien-Hsin Chao, Editor(s)

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