Share Email Print
cover

Proceedings Paper

Human face detection for automatic classification and annotation of personal photo collections
Author(s): Bertrand Chupeau; Vincent Tollu; Jurgen Stauder; Izabela Grasland
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top