Akram Bafandehkar

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Face detection plays an important role in Human Robot Interaction. Many of services provided by robots depend on face detection. This paper presents a novel face detection algorithm which uses depth data to improve the efficiency of a boosted classifier on 2D data for reduction of false positive alarms. The proposed method uses two levels of cascade(More)
In this paper, we proposed a method for facial expression recognition. Unlike other existing methods, our method is a simple and fully automatic in which firstly, the face region is detected using local SMQT features, then a Pictorial Structure model is applied to extract key parts of face (consist of left and right eye and mouth) in different facial images(More)
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