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- W1524897118 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/spl times/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." @default.
- W1524897118 created "2016-06-24" @default.
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- W1524897118 date "2004-03-22" @default.
- W1524897118 modified "2023-09-23" @default.
- W1524897118 title "Spectral histogram based face detection" @default.
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- W1524897118 doi "https://doi.org/10.1109/ijcnn.2003.1223875" @default.
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