Spectral histogram based face detection
Waring, C.
Xiuwen Liu
Dept. of Comput. Sci., Florida State Univ., Tallahassee, FL, USA;
This paper appears in: Neural Networks, 2003. Proceedings of the International Joint Conference on
Publication Date: 20-24 July 2003
Volume: 2,
On page(s): 1263- 1267 vol.2
ISSN: 1098-7576
ISBN: 0-7803-7898-9
INSPEC Accession Number: 7877119
Digital Object Identifier: 10.1109/IJCNN.2003.1223875
Current Version Published: 2003-08-26
Abstract
This paper adopts a generic feature representation and applies it to the task of face detection as an appearance-based case. The distribution of faces and non-faces are modeled from the marginal distribution of filter responses. The face detection algorithm proposed here uses the spectral representation of a 21×21 image window as input to a multiple layer perceptron for classification. The classifier is trained with the backpropagation learning rule. A simple method to correct nonuniform illuminance is used to normalize all training and test images. Testing is done on a standard data set and compared to the work of others.
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