Scientific Research and Essays

  • Abbreviation: Sci. Res. Essays
  • Language: English
  • ISSN: 1992-2248
  • DOI: 10.5897/SRE
  • Start Year: 2006
  • Published Articles: 2768

Full Length Research Paper

3D model retrieval approach by using fuzzy shape distributions

Kuan-Sheng Zou1,2, Wai-Hung Ip2, Chun-Ho Wu2, Ching-Yuen Chan2, Kai-Leung Yung2 and Zeng-Qiang Chen1
1Department of Automation, Nankai University, Tianjin, China. 2Department of Industrial and Systems Engineering, the Hong Kong Polytechnic University, Hong Kong.
Email: [email protected]

  •  Accepted: 24 August 2011
  •  Published: 19 September 2011


With the development of graphic accelerated hardware and 3D modeling tools, 3D models will be as prevalent as other multimedia data in the future. Thus, effective content-based 3D model retrieval systems are required for emerging needs. Many 3D model retrieval methods have been proposed in recent years. Shape distributions showed superiority over others due to rotation invariance and ease of computation, but the discriminative accuracy is limited for any loss in information. Fuzzy Shape Distributions (FSD) is proposed to improve the retrieval performance of distribution-based methods. First, two improved shape distributions are presented by using the concentric partition and symmetrical partition for 3D models. Second, the two enhanced descriptors are combined with a fuzzy weighted procedure. Experimental results show that the proposed FSD can achieve better retrieval performance.


Key words: 3D model retrieval, fuzzy weighted, shape distribution, sequential quadratic programming, content-based.