In this paper, we propose a simple and highly robust point-matching method named Graph
Transformation Matching (GTM) relying on finding a consensus nearest-neighbour graph …

We present an algorithm for shape matching and recognition based on a generative model
for how one shape can be generated by the other. This generative model allows for a class …

The large shape variability and partial occlusions challenge most object detection and
tracking methods for nonrigid targets such as pedestrians. This paper presents a new …

In this paper, we present an efficient and robust algorithm for shape matching, registration,
and detection. The task is to geometrically transform a source shape to fit a target shape …

A recent paper (Caetano et al., 2006) proposed a provably optimal, polynomial time method
for performing near-isometric point pattern matching by means of exact probabilistic …

Component-based detection methods have demonstrated their promise by integrating a set
of part-detectors to deal with large appearance variations of the target. However, an …

Background Accurate extraction of bone contours from two‐dimensional (2D) projective X‐
ray images is an important component for computer‐assisted diagnosis, planning or three …

As is well known, greedy algorithm is usually used as local optimization method in many
heuristic algorithms such as ant colony optimization, taboo search, and genetic algorithms …

Graphical models provide an attractive framework for shape matching because they are well-
suited to formulating Bayesian models of deformable templates. In addition, the advent of …

Graphical models provide an attractive framework for modeling a variety of problems in
computer vision. The advent of powerful inference techniques such as belief propagation …