MINDS @ UW-Madison

Face Cyclographs for Recognition

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dc.contributor.author Guo, Guodong en_US
dc.contributor.author Dyer, Charles en_US
dc.date.accessioned 2012-03-15T17:20:11Z
dc.date.available 2012-03-15T17:20:11Z
dc.date.created 2006 en_US
dc.date.issued 2006 en_US
dc.identifier.citation TR1555 en_US
dc.identifier.uri http://digital.library.wisc.edu/1793/60490
dc.description.abstract A new representation of faces, called face cyclographs, is introduced for face recognition that incorporates all views of a rotating face into a single image. The main motivation for this representation comes from recent psychophysical studies that show that humans use continuous image sequences in object recognition. Face cyclographs are created by slicing spatiotemporal face volumes that are constructed automatically based on real-time face detection. This representation is a compact, multiperspective, spatiotemporal description. To use face cyclographs for recognition, a dynamic programming based algorithm is developed. The motion trajectory image of the eye slice is used to analyze the approximate single-axis motion and normalize the face cyclographs. Using normalized face cyclographs can speed up the matching process. Experimental results on more than 100 face videos show that this representation efficiently encodes the continuous views of faces and improves face recognition performance over view-based methods. en_US
dc.description.provenance Made available in DSpace on 2012-03-15T17:20:11Z (GMT). No. of bitstreams: 1 TR1555.pdf: 1449524 bytes, checksum: 3bbc5fa6453be33142da6cd3e20fb3bd (MD5) en
dc.description.provenance Create and Issued dates reconciled by Wendt Commons staff on 2014-11-3 (NJA). en_US
dc.format.mimetype application/pdf en_US
dc.publisher University of Wisconsin-Madison Department of Computer Sciences en_US
dc.title Face Cyclographs for Recognition en_US
dc.type Technical Report en_US

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