23 June 2003 Human face detection for automatic classification and annotation of personal photo collections
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Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.502577
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bertrand Chupeau, Bertrand Chupeau, Vincent Tollu, Vincent Tollu, Jurgen Stauder, Jurgen Stauder, Izabela Grasland, Izabela Grasland, } "Human face detection for automatic classification and annotation of personal photo collections", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.502577; https://doi.org/10.1117/12.502577
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