Each clustering algorithm induces a similarity between given data points, according to the underlying clustering criteria. Given the large number of available clustering technique...
In this paper, we present an approach based on 2D slices for measuring similarity between 3D models. The key idea is to represent the 3D model by a series of slices along certain ...
Jiantao Pu, Yi Liu, Guyu Xin, Hongbin Zha, Weibin ...
This paper presents a strategy for shape-based image retrieval in which moment invariants form a feature vector to describe the shape of an object. Fuzzy k-means clustering is use...
Online collaboration, in comparison to face-to-face collaboration, is advantageous in making multiparty teamwork possible at a very low cost. As multicultural multiparty collabora...
We present a novel method for tracking objects by combining density matching with shape priors. Density matching is a tracking method which operates by maximizing the Bhattacharyy...