This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempor...
Detection of objects is in general a computationally demanding task. To simplify the problem it is of interest to utilize contextual information and perform a staggered recognitio...
Thispaper presents the results of an experiment that compared error detection capability of voting, instrumentation,and Fagan inspection methods. Several experimentshave measured ...
Sun Sup So, Yongseop Lim, Sung Deok Cha, Yong Rae ...
In this paper we present a new framework for collision and self-collision detection for highly deformable objects such as cloth. It permits to efficiently trade off accuracy for s...
In Computer Graphics, Collision Detection is considered a key problem with important applications in related areas. Several solutions have been proposed, but independently of the ...
Lidia M. Ortega, Francisco R. Feito, Clara I. Grim...