With the marvelous increase in video and image database there is an incredible need of
automatic understanding and examination of information by the intelligent systems as …

Model-based vision is firmly established as a robust approach to recognizing and locating
known rigid objects in the presence of noise, clutter, and occlusion. It is more problematic to …

Image Processing, Analysis and Machine Vision represent an exciting part of modern
cognitive and computer science. Following an explosion of inter est during the Seventies …

This paper describes a technique for building compact models of the shape and appearance
of flexible objects (such as organs) seen in 2D images. The models are derived from the …

We make some simple extensions to the Active Shape Model of Cootes et al.[4], and use it to
locate features in frontal views of upright faces. We show on independent test data that with …

A method for building flexible shape models is presented in which a shape is represented by
a set of labelled points. The technique determines the statistics of the points over a collection …

Background Statistical shape models are widely used in biomedical research. They are
routinely implemented for automatic image segmentation or object identification in medical …

Systematic map** of the variability in cortical sulcal anatomy is an area of increasing
interest which presents numerous methodological challenges. To address these issues, the …

A model-based method for three-dimensional image segmentation was developed and its
performance assessed in segmentation of volumetric cardiac magnetic resonance (MR) …

Modal matching is a new method for establishing correspondences and computing
canonical descriptions. The method is based on the idea of describing objects in terms of …