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Proceedings Paper

Human face detection for automatic classification and annotation of personal photo collections
Author(s): Bertrand Chupeau; Vincent Tollu; Jurgen Stauder; Izabela Grasland
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Paper Abstract

The recent proliferation of digital images captured by digital cameras and, as a result, the users’ needs for automatic annotation tools to index huge multimedia databases arouse a renewed interest in face detection and recognition technologies. After a brief state-of-the-art, the paper details a model-based face detection algorithm for color images, based on skin color and face shape properties. We compare a stand-alone model-based approach with a hybrid approach in which this algorithm is used as a pre-processor to provide candidate faces to a supervised SVM classifier. Experimental results are presented and discussed on two databases of 250 and 689 pictures respectively. Application to a system to automatically annotate the photos of a personal collection is eventually discussed from the human factors point of view.

Paper Details

Date Published: 23 June 2003
PDF: 9 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.502577
Show Author Affiliations
Bertrand Chupeau, Thomson (France)
Vincent Tollu, Thomson (France)
Jurgen Stauder, Thomson (France)
Izabela Grasland, Thomson (France)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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