“Similarity based retrieval from a 3D human database” by Godil and Ressler

  • ©Afzal Godil and Sandy Ressler

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Title:

    Similarity based retrieval from a 3D human database

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Abstract:


    In this paper, we describe a framework for similarity based retrieval from a 3D human database. Our technique is based on both body and head shape representation and retrieval based on similarity of both of them. The 3D human database used in our study is the CAESAR [CAESAR] anthropometric database and in it are around 5000 bodies. Furthermore, we have developed a web based interface for specifying the queries and to interact with the retrieval system. We have seen that our approach performs the similarity based retrieval in a reasonable amount of time and seems to be a practical approach.

References:


    1. CAESAR: Civilian American and European Surface Anthropometry Resource web site: http://www.hec.afrl.af.mil/cardlab/CAESAR/index.html
    2. Paquet, E., Rioux, M. 2003 “Anthropometric Visual Data Mining: A Content-Based Approach,” Submitted to IEA 2003 – International Ergonomics Association XVth Triennial Congress. Seoul, Korea. NRC 44977
    3. IP, H. H. S. and Wong W. 2002 “3D Head Model Retrieval Based on Hierarchical Facial Region Similarity”, Proc. of 15th International Conference on Visual Interface (VI2002), Canada.


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