As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

Estimating transformations from degraded point sets is necessary for many computer vision
and pattern recognition applications. In this paper, we propose a robust non-rigid point set …

Point set registration problem confronts with the challenge of large degree of degradations,
such as deformation, noise, occlusion and outlier. In this paper, we present a novel robust …

Point set registration (PSR) is a fundamental problem in computer vision and pattern
recognition, and it has been successfully applied to many applications. Although widely …

We present a new approach for recognizing the make and model of a car from a single
image. While most previous methods are restricted to fixed or limited viewpoints, our system …

This paper proposes a non-rigid registration formulation capturing both global and local
deformations in a single framework. This formulation is based on a quadratic estimation of …

Bee colony optimization (BCO) is a meta-heuristic technique inspired by natural behavior of
the bee colony. In this paper, the BCO technique is exploited to tackle the shape matching …

In this paper, we propose a fast non-rigid points registration method based on cluster
correspondences projection. Firstly, a distance based clustering method is applied on the …

This paper presents a novel and efficient method for locating deformable shapes in cluttered
scenes. The shapes to be detected may undergo arbitrary translational and rotational …

A novel, fast and reliable, stochastic algorithm is proposed to solve the problem of
groupwise non-rigid registration of large ensembles of images quickly and more accurately …