Most shape matching methods are either fast but too simplistic to give the desired performance or promising as far as performance is concerned but computationally demanding. In th...
Subspace learning based face recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Linear Discriminant Analysis ...
This paper presents new results in the field of video coding and compression using 3D information. Contrary to prior art in 3D model-based coding where 3D models have to be known,...
Franck Galpin, Koichiro Deguchi, Luce Morin, Rapha...
Abstract--This paper proposes an algorithm that provides both dynamic voltage scaling and power shutdown to minimize the total energy consumption of an application executed on an o...
Hyunjin Kim, Hyejeong Hong, Hong-Sik Kim, Jin-Ho A...
Abstract. A tracking-by-detection framework is proposed that combines nearest-neighbor classification of bags of features, efficient subwindow search, and a novel feature selection...