In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...
In this paper, we propose an approach for the control and layering of space-time continuous visual tasks with an uncalibrated camera. The approach is based on the bidimensional ap...
A uni ed framework for 3 D shape reconstruction allows us to combine image-based and geometry-based information sources. The image information is akin to stereo and shape-fromshad...
Computational representation of perceived image quality is a fundamental problem in computer vision and image processing, which has assumed increased importance with the growing r...