In this paper, we present the concept of diffusing models to perform image-to-image
matching. Having two images to match, the main idea is to consider the objects boundaries …

Partial differential equations (PDEs) have led to an entire new field in image processing and
computer vision. Hundreds of publications have appeared in the last decade, and PDE …

We first address the problem of simultaneous image segmentation and smoothing by
approaching the Mumford-Shah (1989) paradigm from a curve evolution perspective. In …

Accurate reconstruction of the inner and outer cortical surfaces of the human cerebrum is a
critical objective for a wide variety of neuroimaging analysis purposes, including …

Histological atlases of the cerebral cortex, such as those made famous by Brodmann and
von Economo, are invaluable for understanding human brain microstructure and its …

This paper presents a literature survey of automatic 3D surface registration techniques
emphasizing the mathematical and algorithmic underpinnings of the subject. The relevance …

Many approaches have been proposed to solve the problem of finding the optic flow field of
an image sequence. Three major classes of optic flow computation techniques can …

In many applications, the user of an image database system points to an image, and wishes
to retrieve similar images from the database. Computer vision researchers aim to capture …

MPEG-7 is the first international standard which contains a number of key techniques from
Computer Vision and Image Processing. The Curvature Scale Space technique was …

A number of active contour models have been proposed that unify the curve evolution
framework with classical energy minimization techniques for segmentation, such as snakes …