This paper describes a method to detect and locate human faces in an image given no prior information about the size, orientation, and viewpoint of the faces in the image. This method uses a family of Gaussian derivative lters to search and extract human facial features from the image and then group them together into a set of partial faces using their geometric relationship. A belief network i...

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...

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.

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...

PCA is a well-know dimension reduction methodology that can also be employed for face detection task. Although the use of eigenface as the basis for face detection or recognition under PCA-based regime is so generalized, little is known about its characteristics. We study its feature by data visualization in the face space of varying dimension and the comparison of the face detection rate in di...

Occluded face detection is a challenging detection task due to the large appearance variations incurred by various real-world occlusions. This paper introduces an Adversarial Occlusion-aware Face Detector (AOFD) by simultaneously detecting occluded faces and segmenting occluded areas. Specifically, we employ an adversarial training strategy to generate occlusion-like face features that are diff...

The problem of eye detection in face images is very important for a large number of applications ranging from face recognition to gaze tracking. In this paper we propose a new algorithm for eyes detection. First, the face region is extracted from the image by skin-color information. Second, horizontal projection in image is used to approximate region of the eye be obtained . At last, the eye ce...

The problem of eye detection in face images is very important for a large number of applications ranging from face recognition to gaze tracking. In this paper we propose a new algorithm for eyes detection. First, the face region is extracted from the image by skin-color information. Second, horizontal projection in image is used to approximate region of the eye be obtained . At last, the eye ce...