In this paper pseudo 3-D Hidden Markov Models (P3DHMMs) are applied to the task of dynamic facial expression recognition. P3DHMMs are an extension of the pseudo 2-D case, which ha...
We present a distributed, surveillance system that works in large and complex indoor environments. To track and recognize behaviors of people, we propose the use of the Hidden Mar...
Nam Thanh Nguyen, Svetha Venkatesh, Geoff A. W. We...
Previous research in automatic facial expression recognition has been limited to recognition of gross expression categories (e.g., joy or anger) in posed facial behavior under wel...
Tsuyoshi Moriyama, Takeo Kanade, Jeffrey F. Cohn, ...
Tracking is frequently considered a frame-to-frame operation. As such, object recognition techniques are generally too slow to be used for tracking. There are domains, however, wh...
Conventional methods for recognizing multiple fonts and handwriting are generally robust against deformation but are weak against degradation. This paper proposes a category-depen...
A system that performs the tracking of a human head in 3D in real time is presented. The head shape is modeled by an ellipse with a trained color histogram of skin and hair sample...
This paper presents a new approach for 3D view registration of stereo images. We introduce a hybrid error function which combines constraints from the ICP (Iterative Closest Point...
This paper presents different ways to use the Doppler Tissue Imaging (DTI) in order to determine deformation of the cardiac wall. As an extra information added to the ultrasound i...
* We address the problem of multiple view stereo from a perceptual organization perspective. Currently, the leading methods in the field are volumetric. They operate at the level o...