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Principal components analysis (PCA) is a basic method widely used in face feature extraction and recognition. In order to overcome the shortcoming of absent consideration of the between-class information and the defect of the inconvenient update of the eigen-space in the traditional PCA method, this paper proposed a cluster-based feature projection method.(More)
Adaboost, a general method for improving the accuracy of any given learning algorithm, is usually used to solve the problem of object detection based on cascade structure. However it has some disadvantage. The paper proposes an advanced Adaboost algorithm for object detection. The algorithm adopts a new method to update weighted parameters of weak(More)
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