Leung, T. K. and Burl, M. C. and Perona, P. (1995) Finding Faces in Cluttered Scenes using Random Labeled Graph Matching. In: Fifth International Conference on Computer Vision. IEEE Computer Society , Los Alamitos, CA, pp. 637-644. ISBN 0-8186-7042-8 http://resolver.caltech.edu/CaltechAUTHORS:20120217-090230623
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An algorithm for locating quasi-frontal views of human faces in cluttered scenes is presented. The algorithm works by coupling a set of local feature detectors with a statistical model of the mutual distances between facial features it is invariant with respect to translation, rotation (in the plane), and scale and can handle partial occlusions of the face. On a challenging database with complicated and varied backgrounds, the algorithm achieved a correct localization rate of 95% in images where the face appeared quasi-frontally.
|Item Type:||Book Section|
|Additional Information:||© 1995 IEEE. Date of Current Version: 06 August 2002. This work was supported by the Center for Neuromorphic Systems Engineering as a part of the National Science Foundation (NSF) Engineering Research Center Program, and by the California Trade and Commerce Agency, Office of Strategic Technology. Additional funding was provided by ONR grant n. N00014-93-1-0990, an NSF National Young Investigator award, a grant from Intel, and a grant from Caltech. We are also very grateful to Jitendra Malik for useful discussions.|
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|Official Citation:||Leung, T.K.; Burl, M.C.; Perona, P.; , "Finding faces in cluttered scenes using random labeled graph matching," Computer Vision, 1995. Proceedings., Fifth International Conference on , vol., no., pp.637-644, 20-23 Jun 1995 doi: 10.1109/ICCV.1995.466878 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=466878&isnumber=9796|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Ruth Sustaita|
|Deposited On:||17 Feb 2012 17:20|
|Last Modified:||26 Dec 2012 14:51|
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