Statistical shape models (SSMs) have by now been firmly established as a robust tool for
segmentation of medical images. While 2D models have been in use since the early 1990s …

Due to the robustness of Gabor features against local distortions caused by variance of
illumination, expression and pose, they have been successfully applied for face recognition …

The tracking and recognition of facial activities from images or videos have attracted great
attention in computer vision field. Facial activities are characterized by three levels. First, in …

This paper addresses the problem of estimating face orientation from automatic detection of
salient facial structures using learned robust features. Face imagettes are detected using …

Facial expression is a natural and powerful means of human communication. Recognizing
spontaneous facial actions, however, is very challenging due to subtle facial deformation …

This paper presents a hierarchical multi-state pose-dependent approach for facial feature
detection and tracking under varying facial expression and face pose. For effective and …

Within the class of perceptive user interfaces (ie interfaces providing the computer with
perceptive capabilities), artificial vision is being exploited more and more as a new input …

Recognition systems based on model matching using low level features often fail due to a
variation in background. As a solution, I present a system for the recognition of human faces …

This paper presents an algorithm that matches interest points detected on a pair of grey level
images taken from arbitrary points of view. First matching hypotheses are generated using a …

Methods were investigated for estimating the poses of human faces undergoing large
rotations in depth. Dimensionality reduction using principal components analysis enabled …