This paper presents a new method for holistic face representation, called spectroface. Spectroface representation combines the wavelet transform and the Fourier transform. We have shown that by decomposing a face image using wavelet transform, the low-frequency face image is less sensitive to the facial expression variations. This paper also proves that the spectroface representation is invaria...

This paper presents a new method for face recognition which learns a face similarity measure from example image pairs. A set of computationally efficient “rectangle” features are described which act on pairs of input images. The features compare regions within the input images at different locations, scales, and orientations. The AdaBoost algorithm is used to train the face similarity function ...

We propose a face recognition method that fuses information acquired from global and local features of the face for improving performance. Principle components analysis followed by Fisher analysis is used for dimensionality reduction and construction of individual feature spaces. Recognition is done by probabilistically fusing the confidence weights derived from each feature space. The performa...

Tanaka and Farah (1993) have proposed a holistic approach to face recognition in which information about the features of a face and their configuration are combined together in the face representation. An implication of the holistic hypothesis is that alterations in facial configuration should interfere with retrieval of features. In four experiments, the effect of configuration on feature reco...

In this paper we propose the discrete cosine transform (DCT) mod 2 feature set, which utilizes polynomial coe2cients derived from 2D DCT coe2cients obtained from spatially neighboring blocks. Face veri%cation results on the multi-session VidTIMIT database suggest that the DCT-mod 2 feature set is superior (in terms of robustness to illumination direction changes and discrimination ability) to f...

The perception and recognition of familiar faces depends critically on an analysis of the internal features of the face (eyes, nose, mouth). We therefore contrasted how information about the internal and external (hair, chin, face outline) features of familiar and unfamiliar faces is represented in face-selective regions. There was a significant response to both the internal and external featur...