Correlation based swarm trackers for 3-dimensional manifold mesh formation

Charles Casey; Laurence G. Hassebrook; Priyanka Chaudhary

doi:10.1117/12.819420

13 April 2009 Correlation based swarm trackers for 3-dimensional manifold mesh formation

Charles Casey, Laurence G. Hassebrook, Priyanka Chaudhary

Proceedings Volume 7340, Optical Pattern Recognition XX; 73400G (2009) https://doi.org/10.1117/12.819420
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Charles Casey, Laurence G. Hassebrook, and Priyanka Chaudhary "Correlation based swarm trackers for 3-dimensional manifold mesh formation", Proc. SPIE 7340, Optical Pattern Recognition XX, 73400G (13 April 2009); https://doi.org/10.1117/12.819420

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