In this paper, we present a method for tracking and retexturing of garments that exploits the entire image information using the optical flow constraint instead of working with di...
Knowing which edges in an image denote shadow edges and which are due to object boundaries or changes in surface reflectance has important applications in both computer vision and...
In many real applications traditional superresolution methods fail to provide high-resolution images due to objectionable blur and inaccurate registration of input low-resolution ...
We consider the problem of head tracking and pose estimation in realtime from low resolution images. Tracking and pose recognition are treated as two coupled problems in a probabi...
In this paper, we propose novel blur and similarity transform (i.e. rotation, scaling and translation) invariant features for the recognition of objects in images. The features ar...