Retrieval and Clustering from a 3D Human Database based on Body and Head Shape

05/13/2011
by   Afzal Godil, et al.
0

In this paper, we describe a framework for similarity based retrieval and clustering from a 3D human database. Our technique is based on both body and head shape representation and the retrieval is based on similarity of both of them. The 3D human database used in our study is the CAESAR anthropometric database which contains approximately 5000 bodies. We have developed a web-based interface for specifying the queries to interact with the retrieval system. Our approach performs the similarity based retrieval in a reasonable amount of time and is a practical approach.

READ FULL TEXT
research
11/07/2011

New Method for 3D Shape Retrieval

The recent technological progress in acquisition, modeling and processin...
research
07/22/2013

A Novel Equation based Classifier for Detecting Human in Images

Shape based classification is one of the most challenging tasks in the f...
research
03/01/2020

Shape retrieval of non-rigid 3d human models

3D models of humans are commonly used within computer graphics and visio...
research
10/21/2018

3D shape retrieval basing on representatives of classes

In this paper, we present an improvement of our proposed technique for 3...
research
01/17/2016

Building a Learning Database for the Neural Network Retrieval of Sea Surface Salinity from SMOS Brightness Temperatures

This article deals with an important aspect of the neural network retrie...
research
03/02/2016

Learnt quasi-transitive similarity for retrieval from large collections of faces

We are interested in identity-based retrieval of face sets from large un...
research
06/20/2002

Computer-Generated Photorealistic Hair

This paper presents an efficient method for generating and rendering pho...

Please sign up or login with your details

Forgot password? Click here to reset