A rst step towards face recognition is the localization of face-like regions and the extraction of facial features as eyes, mouth and nose. Although a lot of work has already been done in this research area, the recognition of human faces out of a scene with cluttered background is still a problem that deserves further investigation. In this framework we present a novel approach to face localiz...

We amplify possible complications to the tidy division between early vision and later categorisation which arise when we consider the perception of human faces. Although a primitive face-detecting system, used for social attention, may indeed be integral to “early vision,” the relationship between this and diverse other uses made of information from faces

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...

In this paper we present an associative-memory-based face detection system. First, the symmetry of human faces is used to quickly locate all the candidates of human faces with all possible sizes and locations. Then two associative memories are used to decide whether or not a human face exits at the locations. Some experimental results are given.

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...

From a user’s perspective, face recognition is one of the most desirable biometrics, due to its non-intrusive nature. As a large number of face recognition systems have been developed over the past 15 years, their evaluation and comparison by an independent body becomes crucial. Face Recognition Vendor Tests (FRVT) are organized at regular intervals by the National Institute of Standards and Te...