Accurate and precise estimation of the noise variance is often of key importance as an input parameter for posterior image processing tasks. In MR images, background data is well s...
Abstract. In this paper a multi-modal method for human identification that exploits the discriminant features derived from several movement types performed from the same human is p...
Nikolaos Gkalelis, Anastasios Tefas, Ioannis Pitas
In this paper we present a novel method for 3D structure acquisition, based on structured light. Unlike classical structured light methods, in which a static projector illuminates...
Chris Hermans, Yannick Francken, Tom Cuypers, Phil...
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...
The use of local features in computer vision has shown to be promising. Local features have several advantages including invariance to image transformations, independence of the ba...