This paper presents a novel framework for the recognition of objects based on their
silhouettes. The main idea is to measure the distance between two shapes as the minimum …

We present a novel approach to finding a correspondence (alignment) between two curves.
The correspondence is based on a notion of an alignment curve which treats both curves …

The standard model of supervised learning assumes that training and test data are drawn
from the same underlying distribution. This paper explores an application in which a second …

Shape is a fundamental image feature used in content-based image-retrieval systems. This
paper proposes a robust and effective shape feature, which is based on a set of orthogonal …

In computer vision, shape matching is a challenging problem, especially when articulation
and deformation of parts occur. These variations may be insignificant in terms of human …

We propose an approach for matching distorted and possibly occluded shapes using
dynamic programming (DP). We distinguish among various cases of matching such as …

An important problem in accessing and retrieving visual information is to provide efficient
similarity matching in large databases. Though much work is being done on the …

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 …

We introduce Hierarchical Procrustes Matching (HPM), a segment-based shape matching
algorithm which avoids problems associated with purely global or local methods and …

Three-dimensional shape recovery from one or multiple observations is a challenging
problem of computer vision. In this paper, we present a new Focus Measure for the …