In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
By formulating the problem of ordering the outputs observed from a device over time, we pose a new problem in forensics and propose a framework for addressing this problem of devi...
Junwen Mao, Orhan Bulan, Gaurav Sharma, Suprakash ...
We present our system for the capturing and analysis of 3D facial motion. A high speed camera is used as capture unit in combination with two surface mirrors. The mirrors provide ...
Abstract. Approaches to visual navigation, e.g. used in robotics, require computationally efficient, numerically stable, and robust methods for the estimation of ego-motion. One of...
We present a new, robust and computationally efficient method for estimating the probability density of the intensity values in an image. Our approach makes use of a continuous r...