Example Based Learning for View-Based Human Face Detection

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/7193

Full metadata record

DC Field	Value	Language
dc.creator	Sung, Kah Kay	-
dc.creator	Poggio, Tomaso	-
dc.date	2004-10-20T20:49:22Z	-
dc.date	2004-10-20T20:49:22Z	-
dc.date	1995-01-24	-
dc.date.accessioned	2013-10-09T02:48:31Z	-
dc.date.available	2013-10-09T02:48:31Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-1521	-
dc.identifier	CBCL-112	-
dc.identifier	http://hdl.handle.net/1721.1/7193	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	We present an example-based learning approach for locating vertical frontal views of human faces in complex scenes. The technique models the distribution of human face patterns by means of a few view-based "face'' and "non-face'' prototype clusters. At each image location, the local pattern is matched against the distribution-based model, and a trained classifier determines, based on the local difference measurements, whether or not a human face exists at the current image location. We provide an analysis that helps identify the critical components of our system.	-
dc.format	21 p.	-
dc.format	2933946 bytes	-
dc.format	846344 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-1521	-
dc.relation	CBCL-112	-
dc.subject	Face Detection Pattern Recognition Pattern Classification Learning from examples Object Recognition	-
dc.title	Example Based Learning for View-Based Human Face Detection	-
Appears in Collections:	MIT Items

Files in This Item:

There are no files associated with this item.

DSpace JSPUI