This paper describes a new medical image analysis technique for polygon mesh surfaces of human faces for a medical diagnosis application. The goal is to explore the natural patter...
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...
Facial expression recognition is an active research area that finds a potential application in human emotion analysis. This work presents an illumination independent approach for...
Images with large areas of low texture pose significant challenge to stereo algorithms. We propose a novel segmentation based stereo scheme tuned to handle such scenes. We combine ...
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...