In previous work on point registration, the input point sets are often represented using
Gaussian mixture models and the registration is then addressed through a probabilistic …

In this paper, we propose an extremely efficient algorithm for visual re-ranking. By
considering the original pairwise distance in the contextual space, we develop a feature …

Shape representation is a fundamental problem in computer vision. Current approaches to
shape representation mainly focus on designing low-level shape descriptors which are …

In this paper, we propose a novel shape description method for mobile retrieval of leaf
images. In this method, termed multiscale arch height (MARCH), hierarchical arch height …

In this paper, a learning-based shape descriptor for shape matching is demonstrated.
Formulated in a bag-of-words like framework, the proposed method summarizes the local …

This paper presents a novel approach for both fast and accurately retrieving similar shapes.
A hierarchical string cuts (HSCs) method is proposed to partition a shape into multiple level …

Shape information plays an important role in the human visual system, and how to represent
the shape accurately is a very challenging issue in shape recognition. In recent years, many …

Riemannian manifold plays a vital role as a powerful mathematical tool in computer vision,
with important applications in curved shape analysis and classification. Significant progress …

Exterior contour and interior structure are both vital features for classifying objects. However,
most of the existing methods consider exterior contour feature and internal structure feature …

There are two categories of partial shape matching problem: whole-to-part matching and
part-to-part matching. The first establishes the best match between an open curve and a part …