Deep learning applies multiple processing layers to learn representations of data with levels feature extraction. This emerging technique has reshaped the research landscape face recognition (FR) since 2014, launched by breakthroughs DeepFace and DeepID. Since then, deep technique, characterized hierarchical architecture stitch together pixels into invariant representation, dramatically improve...

An integrated system for the acquisition, normalisation and recognition of moving faces in dynamic scenes is introduced. Four face recognition tasks are deened and it is argued that modelling person-speciic probability densities in a generic face space using mixture models provides a technique applicable to all four tasks. The use of Gaussian colour mixtures for face detection and tracking is a...

© 2 0 0 1 m a s s a c h u s e t t s i n s t i t u t e o f t e c h n o l o g y, c a m b r i d g e , m a 0 2 1 3 9 u s a — w w w. a i. m i t. e d u m a s s a c h u s e t t s i n s t i t u t e o f t e c h n o l o g y — a r t i f i c i a l i n t e l l i g e n c e l a b o r a t o r y @ MIT 1 Abstract The ability to detect faces in images is of critical ecological significance. It is a prerequisite f...

Faces can be represented eeciently as a weighted linear combination of the eigenvectors of a covariance matrix of face images. It has also been shown J. Opt. Soc. Am. 4, 519{524 (1987)] that identiiable faces can be made by using only a subset of the eigenvectors, i.e., those with the largest eigenvalues. This low-dimensional representation is optimal in that it minimizes the squared error betw...

Individuals with developmental prosopagnosia (DP) are strongly impaired in recognizing faces, but the causes of this deficit are not well understood. We employed event-related brain potentials (ERPs) to study the time-course of neural processes involved in the recognition of previously unfamiliar faces in DPs and in age-matched control participants with normal face recognition abilities. Faces ...

Locating and tracking human faces is a prerequisite for face recognition and/or facial expressions analysis, although it is often assumed that a normalized face image is available. In this paper, we try and propose faster yet efficient system which can detect potential face regions with accuracy of over 90%. We use skin colour based model for the experiment. The paper includes the experiment de...

The specialness of faces is seen in the face inversion effect, which disrupts the configural, but not the analytic, processing of faces. Mooney faces, which are processed holistically, allowed us to determine the contribution of holistic processing to the face inversion effect. As inverted Mooney faces are difficult to recognize as faces, we also included an intermediary training period for Moo...