Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31097
3D Model Retrieval based on Normal Vector Interpolation Method

Authors: Ami Kim, Oubong Gwun, Juwhan Song


In this paper, we proposed the distribution of mesh normal vector direction as a feature descriptor of a 3D model. A normal vector shows the entire shape of a model well. The distribution of normal vectors was sampled in proportion to each polygon's area so that the information on the surface with less surface area may be less reflected on composing a feature descriptor in order to enhance retrieval performance. At the analysis result of ANMRR, the enhancement of approx. 12.4%~34.7% compared to the existing method has also been indicated.

Keywords: feature descriptor, Interpolated Normal Vector

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1182


[1] Ryutarou Ohbuchi, Takahiro Minamitani, Tsuyoshi Takei, "Shape-Simility Search of 3D Models by using Enhanced Shape Functions", IJCAT, Vol. 23, No. 2/3/4 pp.70-85, 2005.
[2] Eric Lengyel, Mathmetics for 3D Game Programming and Computer Graphics Second Edition, 2004.
[3] YS Joo, Comparison of Polyhedra and Level Sets as Geometry Reconstruction Models, Segang University, 2003.
[4] Benjamin Bustos, "Feature-Based Similarity Search in 3D Object Databases", ACM Computing Surveys, Vol. 37, No. 4, pp.345-387, 2005.
[5] Ding-Yun Chen, Xiao-Pei Tian, Yu-Te Shen, Ming Ouhyoung, "On Visual Similarity Based 3D Model Retrieval", Proceedings of EUROGRAPHICS, Vol. 22, 2003.
[6] Robert Osada, Thomas Funkhouser, Bernard Chazelle and David Dobkin, "Shape Distributions," Transactions on ACM Graphics, Vol. 21, pp.807-832, 2002.
[7] Philip Shilane, Michael Kazhdan, Patrick Min and Thomas Funkhouser, "The Princeton Shape Benchmark", Proceedings of the Shape Modeling International, pp. 388-399, 2004.
[8] M Lu, H Luo, J S Pan, "3D Model Retrieval Based on Vector Quantisation Index Histograms", Journal of Physics, pp.437-41, 2006.
[9] US Ju, Computer Graphics learning by OpenGL, 2006.
[10] T. Zaharia and F. Preteux, "Results of 3D Shape Core Experiment," ISO/IEC JTC1/SC29/WG11 M6315, 2000.
[11] T. Zaharia and F. Preteux, "3D Shape Core Experiment: Semantic Versus Geometric Categorization of 3D Mesh Models," ISO/IEC JTC1/SC29/WG11 M6104, 2000.
[12] T. Zaharia and F. Prêeux, "3D Shape-based Retrieval within The MPEG-7 Framework", Proc. SPIE Conf. on Nonlinear Image. Processing and Pattern Analysis XII, vol.4304, pp.133-145, 2001.