A Robust Method for Shape-Based 3D Model Retrieval

Authors:
Yi Liu;Jiantao Pu;Guyu Xin;Hongbin Zha;Weibin Liu;Yusuke Uehara
Affiliations:
Peking University, Beijing, China;Peking University, Beijing, China;Peking University, Beijing, China;Peking University, Beijing, China;Fujitsu R&D Center Co.;Media Lab., Fujitsu Laboratories LTD.
Venue:
PG '04 Proceedings of the Computer Graphics and Applications, 12th Pacific Conference
Year:
2004

Citing 0
Cited 4

Shape based 3D model retrieval without query

Proceedings of the 6th ACM international conference on Image and video retrieval
A survey of content based 3D shape retrieval methods

Multimedia Tools and Applications
Force field based expression for 3D shape retrieval

HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction platforms and techniques
Electric field force features-harmonic representation for 3d shape similarity

CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Proliferation of 3D models necessitates developing efficient methods for indexing or retrieving the models in a large database. Many previous methods for this purpose defined functions on concentric spheres as approximation of 3D geometry for spherical harmonic transform (SHT). In this paper, we point out that this is not robust as the surface of a model may shift between different shells under perturbation, and multi-layer of surfaces may exist in one shell, making the function definition ambiguous. To solve these problems, we propose a novel method to characterize 3D shape using Delta functions. Then spherical functions are defined by sampling in the frequency domain of the Delta functions for SHT. By doing so, our method can support retrieval with controllable acuity, which benefits wider range of applications and facilitates customization to different users. Experiments have shown that our method is more robust than previous approaches.