Burl, M. C. and Perona, P. (1996) Recognition of planar object classes. In: 1996 IEEE computer society conference on computer vision and pattern recognition: proceedings. IEEE Computer Society , Los Alamitos, CA, pp. 223-230. ISBN 0-8186-7258-7 http://resolver.caltech.edu/CaltechAUTHORS:20120131-084642667
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We present a new framework for recognizing planar object classes, which is based on local feature detectors and a probabilistic model of the spatial arrangement of the features. The allowed object deformations are represented through shape statistics, which are learned from examples. Instances of an object in an image are detected by finding the appropriate features in the correct spatial configuration. The algorithm is robust with respect to partial occlusion, detector false alarms, and missed features. A 94% success rate was achieved for the problem of locating quasi-frontal views of faces in cluttered scenes.
|Item Type:||Book Section|
|Additional Information:||© 1996 IEEE. Date of Current Version: 06 August 2002. The authors wish to thank Thomas Leung of Berkeley for providing the feature detection code and test images used in the face localization experiments. This work is supported in part by the Center for Neuromorphic Systems Engineering as a part of the National Science Foundation Engineering Research Center Program; and by the California Trade and Commerce Agency, Office of Strategic Technology. Generous support of the face localization work was provided by INTEL.|
|Subject Keywords:||computer vision, pattern recognition, object recognition, shape statistics, flexible, deformable, planar objects, point configurations, constellations, face localization, handwriting|
|Other Numbering System:|
|Official Citation:||M.C. Burl, P. Perona, "Recognition of Planar Object Classes," cvpr, pp.223, 1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'96), 1996|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Tony Diaz|
|Deposited On:||09 Feb 2012 00:10|
|Last Modified:||09 Feb 2012 00:10|
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