In this paper, we propose an image-based texture model called IlluminationDependent Texture(IDT), for realisticly rendering objects covered with 3D texture under low-frequency ill...
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 rapid development of space and computer technologies has made possible to store a large amount of remotely sensed image data, collected from heterogeneous sources. In particul...
Antonio Plaza, David Valencia, Javier Plaza, Pablo...
Parametric models of shape and texture such as Active Appearance Models (AAMs) are diverse tools for deformable object appearance modeling and have found important applications in...
We present a new functional magnetic resonance imaging (fMRI) analysis method that incorporates both spatial and temporal dynamics of bloodoxygen-level dependent (BOLD) signals wit...
Bernard Ng, Rafeef Abugharbieh, Samantha J. Palmer...