In this paper, we review the recently published work on deformable models. We have
chosen to concentrate on 2D deformable models and relate the energy minimization …

We review the recent progress in the design of efficient algorithms for various problems in
geometric optimization. We present several techniques used to attack these problems, such …

This paper presents a method for extracting distinctive invariant features from images that
can be used to perform reliable matching between different views of an object or scene. The …

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 …

This paper describes a computational approach to edge detection. The success of the
approach depends on the definition of a comprehensive set of goals for the computation of …

The Hausdorff distance measures the extent to which each point of a model set lies near
some point of an image set and vice versa. Thus, this distance can be used to determine the …

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 …

Intelligent agents are employed as the central characters in this new introductory text.
Beginning with elementary reactive agents, Nilsson gradually increases their cognitive …

The goal of this paper is to present a critical survey of existing literature on human and
machine recognition of faces. Machine recognition of faces has several applications …

A recent paper posed the question:" Graph Matching: What are we really talking about?". Far
from providing a definite answer to that question, in this paper we will try to characterize the …