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This paper presents a 3D face recognition method. In this method, 3D discrete cosine transform (DCT) is used to extract features. Before the feature extraction, faces are aligned with respect to nose tip and then registered two times: according to average nose and average face. Then the coefficients of 3D transformation are calculated. The most discriminating 3D transform coefficients are selected...
In this study, we proposed a new method to align symmetric signals by using symmetry property of discrete cosine transform (DCT), which is widely used in signal compression and pattern recognition. For the symmetric signals, the energy is concentrated in the even indexed DCT coefficients. Using this property, we defined a symmetry measure. In this measure, ratio of the energy in even indexed coefficients...
So far, a lot of studies have been made in the areas of shape from shading (SFS) and photometric stereo. In these studies, different methods are usually applied separately. In some of these studies, different methods were combined to obtain better results. In this study, a new approach is proposed to combined adaptively the SFS and photometric stereo methods. The depth map obtained from the SFS approach...
This paper presents a novel method for 3D facial feature extraction. In this method, 3D discrete cosine transform (DCT) is used to extract features. Before the feature extraction, faces are aligned with respect to nose tip and then registered two times: according to average nose and average face. Then the coefficients of 3D transformation are calculated. The most discriminant 3D transform coefficients...
Pseudo phase is calculated from the coefficients of discrete cosine transform and discrete sine transform, which don't really include any phase information. The method of motion estimation by using pseudo phase is successful in clean and synthetic images. In this study, the unsuccessful conditions are analyzed and some enhancements are proposed in order to have success even in these conditions. In...
In this study, a new method is presented for face recognition by using DCT4-faces that are calculated by the 4D discrete cosine transform. In this method, firstly, 3D struct is obtained for each person by collecting training face images on top of each other. Then 4D DCT is applied to 4D struct which is obtained from 3D structs of each person. Lasty, 2D inverse DCT is applied to each 2D coefficient...
Next generation vehicles are foreseen to use biometric recognition systems for person authentication. One of them is face recognition. In this study, a different approach of feature vector generation is presented for a face recognition system. To generate the feature vectors, DCTfaces, which are very similar to Eigenfaces, are used. DCTfaces are obtained by using 3D-DCT of face images after an image...
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