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3D Objects Indexing Using Spherical Harmonic for Optimum Measurement Similarity

<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/10000379" mdate="2015-01-05 00:00:00"> <author>S. Hellam and Y. Oulahrir and F. El Mounchid and A. Sadiq and S. Mbarki</author> <title>3D Objects Indexing Using Spherical Harmonic for Optimum Measurement Similarity</title> <pages>241 - 246</pages> <year>2015</year> <volume>9</volume> <number>1</number> <journal>International Journal of Computer and Information Engineering</journal> <ee>https://publications.waset.org/pdf/10000379</ee> <url>https://publications.waset.org/vol/97</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>In this paper, we propose a method for threedimensional (3D)model indexing based on defining a new descriptor, which we call new descriptor using spherical harmonics. The purpose of the method is to minimize, the processing time on the database of objects models and the searching time of similar objects to request object. Firstly we start by defining the new descriptor using a new division of 3D object in a sphere. Then we define a new distance which will be used in the search for similar objects in the database. </abstract> <index>Open Science Index 97, 2015</index> </article>