This paper presents a localized coarse-to-fine algorithm for efficient and accurate pedestrian localization and silhouette extraction for the Gait Challenge data sets. The coars...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
The study proposes a novel scheme to extract and recognize the caption contents of various sports captions. A caption extraction process based on an iteratively temporal averaging...
The Aspect Oriented Programming is a new programming paradigm that provides a means of encapsulation of crosscuting concerns in software. This paper describes a formal semantics o...
Most of the available research on face recognition has been performed using gray scale imagery. This paper presents a novel two-pass face recognition system that uses a Multispect...
In this paper we present our approach to 3D surface reconstruction from large sparse range data sets. In space robotics constructing an accurate model of the environment is very i...
Sebastien Gemme, Joseph Nsasi Bakambu, Ioannis M. ...