Detecting foreground object often need to face the problems of illumination change and image noise. In this paper, we propose an object detection method using two successive image...
Jung Ming Wang, Shen Cherng, Chiou-Shann Fuh, Sei-...
We present a discriminative approach to frame-by-frame head pose tracking that is robust to a wide range of illuminations and facial appearances and that is inherently immune to a...
We present a real-time user-independent computer vision system that processes a sequence of images of a front-facing human face and recognises a set of facial expressions at 30 fp...
Face tracking in realistic environments is a difficult problem due to pose variations, occlusions of objects, illumination changes and cluttered background, among others. The paper...
The purpose of this work is to synthesize textures of rough, real world surfaces under freely chosen viewing and illumination directions. Moreover, such textures are produced for ...
Alexander Neubeck, Alexey Zalesny, Luc J. Van Gool