Measuring the similarity between 3D shapes is a fundamental problem, with applications in
computer graphics, computer vision, molecular biology, and a variety of other fields. A …

Recognition of three dimensional (3D) objects in noisy and cluttered scenes is a challenging
problem in 3D computer vision. One approach that has been successful in past research is …

As the number of 3D models available on the Web grows, there is an increasing need for a
search engine to help people find them. Unfortunately, traditional text-based search …

Measuring the similarity between 3D shapes is a fundamental problem, with applications in
computer vision, molecular biology, computer graphics, and a variety of other fields. A …

Techniques are provided for searching on three dimensional (3D) objects across large,
distributed repositories of 3D models. 3D shapes are created for input to a search system; …

As the number of available 3D models grows, there is an increasing need to index and
retrieve them according to their contents. This paper provides a survey of the up-to-date …

The recognition community has typically avoided bridging the representational gap between
traditional, low-level image features and generic models. Instead, the gap has been …

Image registration has been a very active research area in the computer vision community.
In the last few years, there is an increasing interest on the application of evolutionary …

(57) ABSTRACT A method identifying apertures of ear impressions is dis closed. A plurality
of contour lines associated with an ear impression are determined and a difference value …

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 directions so …