A Texture Similarity Evaluation Method for 3D Models

2010 Fiscal Year Final Research Report

• Project/Area Number: 21700127
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Single-year Grants
• Research Field: Media informatics/Database
• Research Institution: The Open University of Japan
• Principal Investigator: SUZUKI Motofumi The Open University of Japan, ICT活用・遠隔教育センター, 准教授 (90332147)
• Project Period (FY): 2009 – 2010
• Keywords: 類似検索 / 3次元物体モデル / 3次元高次局所自己相関特徴 / フラクタル次元

Research Abstract

Various kinds of research have been conducted on similarity retrievals of 3D models since the late 1990's. Although most of the retrieval techniques focus on shape similarity of the 3D models, our technique allows users to retrieve and classify 3D models based on texture pattern similarity. To test our texture similarity retrieval technique, a set of a textured 3D model database was synthesized from 3D polygonal models and 2D texture images. The database was analyzed by software programs, and texture features were extracted from each 3D model. The extracted texture features were computed based on HLAC (higher order local autocorrelation) and fractal dimensions. Often, both kinds of texture features were used for analyzing 2D texture images. However, we extended the techniques to handle three dimensional volumetric data for extracting features from textured 3D models. Our experimental web-based retrieval system successfully retrieved textured 3D models with fairly acceptable recall-precision rates. This retrieval technique which is based on texture patterns can be used in conjunction with traditional shape similarity retrieval techniques, and the technique can enhance similarity retrieval performances.

Research Products

• [Presentation] A 3D Solid Texture Feature Computation Method Using Multi-Core CPU Architectures (2010)
  • Author(s): Motofumi T.Suzuki, Yoshitomo Yaginuma, Haruo Kodama
  • Organizer: International Conference Parallel and Distributed Computing and Systems (PDCS 2010), pp.45-50, DOI:10.2316/P.2010.724-008, ISBN:978-0-88986-851-9, ISSN:1027-2666, Nov.10
  • Place of Presentation: USA
  • Year and Date: 20100000
• [Presentation] A Statistical Method for Selecting Pattern Descriptors of Textured 3D Models (2010)
  • Author(s): Motofumi T.Suzuki, Yoshitomo Yaginuma, Haruo Kodama
  • Organizer: World Congress on Engineering and Computer Science (WCECS2010, ICIMT), pp.388-394, ISBN:978-988-17012-0-6, ISSN:2078-0958, Oct.20, (Best Paper Award of ICIMT2010)
  • Place of Presentation: USA
  • Year and Date: 20100000
• [Presentation] A Similarity Retrieval Technique for Textured 3D Models (2010)
  • Author(s): Motofumi T.Suzuki, Yoshitomo Yaginuma, Haruo Kodama
  • Organizer: International Conference on Information Retrieval and Knowledge Management (CAMP10), pp.131-137, Digital Object Identifier:10.1109/INFRKM.2010.5466933
  • Place of Presentation: Malaysia
  • Year and Date: 2010-03-17
• [Presentation] A Texture Energy Measurement Technique for 3D Volumetric Data (2009)
  • Author(s): Motofumi T.Suzuki, Yoshitomo Yaginuma, Haruo Kodama
  • Organizer: 2009 IEEE International Conference on Systems, Man, and Cybernetics, pp.3879-3885, IEEE Catalog Number CFP09SMC-USB, ISBN:978-1-4244-2794-9, Library of Congress:20080906680
  • Place of Presentation: San Antonio, TX, USA
  • Year and Date: 2009-10-14
• [Remarks] ホームページ等
  • URL: http://motosuzuki.air-nifty.com/