Face recognition/detection presents a challenging problem in the field of image analysis and computer vision, and it is becoming more popular day by day because of its applications in various domain areas. Face annotation is one of the ways for recognizing face images. Auto face annotation is playing important role in many real-world applications. Face annotation task is part of face detection ...

Non-negative Matrix Factorization (NMF) is a part-based image representation method. It comes from the intuitive idea that entire face image can be constructed by combining several parts. In this paper, we propose a framework for face recognition by finding localized, part-based representations, denoted “Iterative weighted non-smooth non-negative matrix factorization” (IWNS-NMF). A new cost fun...

This paper presents a segmentation scheme for automatic detection of human face in color video sequence. The method relies on a three-step procedure. First, regions are detected which are likely to contain human skin in the color image. In the second step, differences in regions produced by motion in the video sequence are detected. In the final step, Karhunen-Loeve transformation is used to pr...

This paper presents a new lip detection method based-on normalized RGB chromaticity diagram. The method consists of three stages: face detection, lip region localization and lip detection. The popular Viola-Jones face detection technique is employed in the face detection stage. In the lip detection stage, lip color is extracted using our novel color segmentation method that exploits the distrib...

Human face detection is an essential step in the creation of intelligent lighting ambiences, but the constantly changing multi-color illumination makes reliable face detection more challenging. Therefore, we introduce a new face detection and localization algorithm, which retains a high performance under various indoor illumination conditions. The method is based on the creation of a robust ski...

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...

© 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...