NDLI: Inexact graph matching using stochastic optimization techniques for facial feature recognition

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Object recognition supported by user interaction for service robots

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Inexact graph matching using stochastic optimization techniques for facial feature recognition

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Volume 1 - 2002

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000

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[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition

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Inexact graph matching using stochastic optimization techniques for facial feature recognition

Content Provider	IEEE Xplore Digital Library
Author	Cesar, R. Bengoetxea, E. Bloch, I.
Copyright Year	2002
Description	Author affiliation: Inst. de Matematica e Estatistica, Sao Paulo Univ., Brazil (Cesar, R.)
Abstract	We propose a formalization of model-based facial feature recognition as an inexact graph matching problem, one graph representing a model of a face and the other an image where recognition has to be performed. The graphs are built from regions and relationships between regions. Both nodes and edges are attributed. A global dissimilarity function is defined based on comparison of attributes of the two graphs, and accounting for the fact that several image regions can correspond to the same model region. This junction is then minimized using several stochastic algorithms.
Starting Page	465
Ending Page	468
File Size	288758
Page Count	4
File Format	PDF
ISBN	076951695X
ISSN	10514651
DOI	10.1109/ICPR.2002.1048339
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-08-11
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stochastic processes Facial features Face recognition Image segmentation Image recognition Tree graphs Neodymium Eyes Lips Character recognition
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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