This paper compares two methods for object localization from contours: shape context and
chamfer matching of templates. In the light of our experiments, we suggest improvements to …

This paper addresses the issue of matching rigid and articulated shapes through
probabilistic point registration. The problem is recast into a missing data framework where …

This paper presents a comprehensive literature review on point set registration. The state-of-
the-art modeling methods and algorithms for point set registration are discussed and …

Over the past three decades, a number of face recognition methods have been proposed in
computer vision, and most of them use holistic face images for person identification. In many …

Supervised 3D reconstruction has witnessed a significant progress through the use of deep
neural networks. However, this increase in performance requires large scale annotations of …

We present a new point matching algorithm for robust nonrigid registration. The method
iteratively recovers the point correspondence and estimates the transformation between two …

Feature matching, which aims at seeking dependable correspondences between two sets of
features, is of considerable significance to various vision-based tasks. This paper attempts to …

We consider the problem of teaching robots by demonstration how to perform manipulation
tasks, in which the geometry (including size, shape, and pose) of the relevant objects varies …

A key challenge in reconstructing high-quality 3D scans is registering data from different
viewpoints. Existing global (multiview) alignment algorithms are restricted to rigid-body …

We present an unsupervised algorithm for registering 3D surface scans of an object
undergoing significant deformations. Our algorithm does not need markers, nor does it …