Retrieval and Clustering from a 3D Human Database based on Body and Head Shape
| Autor: | Sandy Ressler, Afzal Godil |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Computational Geometry (cs.CG)
FOS: Computer and information sciences I.2.10 Database Interface (Java) Computer science Computer Vision and Pattern Recognition (cs.CV) I.5.4 Computer Science - Computer Vision and Pattern Recognition Representation (systemics) I.4.8 computer.software_genre Head shape Similarity (network science) Computer Science - Computational Geometry Cluster analysis computer |
| Zdroj: | SAE Technical Paper Series. |
| ISSN: | 0148-7191 |
| DOI: | 10.4271/2006-01-2355 |
| Popis: | 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. Published in Proceedings of the 2006 Digital Human Modeling for Design and Engineering Conference, July 2006, Lyon, FRANCE, Session: Advanced Size/Shape Analysis Paper Number: 2006-01-2355 http://papers.sae.org/2006-01-2355 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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