An Invariant Electronic Descriptor for 3D Model Retrieval

Abstract:

With the rapid development of 3D scanners, graphic accelerated hardware and modeling tools, the use of 3D model databases throughout the Internet is growing, and this trend should continue. Thus, there is an urgent demand for effective 3D model retrieval methods and systems. In this paper, a novel rotation invariant and effective 3D object retrieval approach called electronic descriptor is presented, which is a combined shape distribution by considering the randomly selected points on 3D surface as electrons. Experimental results show that the proposed method is superior to other shape distribution based methods.

• Periodical: Applied Mechanics and Materials (Volumes 644-650)
• Pages: 1858-1861
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.644-650.1858
• Online since: September 2014
• Authors: Kuan Sheng Zou*, Qian Zhang, Zhao Jun Zhang, Jian Hua Zhang
• Keywords: 3D Model Retrieval, Feature Extraction, Similarity Matching

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