Three-dimensional shape searching is a problem of current interest in several different fields. Most techniques have been developed for a particular domain and reduce a shape into a simpler shape representation. The techniques developed for a particular domain will also find applications in other domains. We classify and compare various 3D shape searching techniques based on their shape representations. A brief description of each technique is provided followed by a detailed survey of the state-of-the-art. The paper concludes by identifying gaps in current shape search techniques and identifies directions for future research. (C) 2004 Elsevier Ltd. All rights reserved.
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Univ Norbert Wiener, Digital Transformat Ctr, Lima 51001, PeruUniv Norbert Wiener, Digital Transformat Ctr, Lima 51001, Peru
Salazar-Gamarra, Rodrigo
Contreras-Pulache, Hans
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Univ Norbert Wiener, South Amer Ctr Educ & Res Publ Hlth, Lima 51001, PeruUniv Norbert Wiener, Digital Transformat Ctr, Lima 51001, Peru
Contreras-Pulache, Hans
Cruz-Gonzales, Gloria
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Univ Nacl Federico Villareal, Fac Med Technol, Lima 51001, PeruUniv Norbert Wiener, Digital Transformat Ctr, Lima 51001, Peru
Cruz-Gonzales, Gloria
Binasco, Salvatore
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Univ Paulista UNIP, Postgrad Program Engn, BR-01001000 Sao Paulo, BrazilUniv Norbert Wiener, Digital Transformat Ctr, Lima 51001, Peru
Binasco, Salvatore
Cruz-Gonzales, William
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Univ Nacl Federico Villarreal, Fac Financial & Accounting Sci, Lima 51001, PeruUniv Norbert Wiener, Digital Transformat Ctr, Lima 51001, Peru
Cruz-Gonzales, William
Moya-Salazar, Jeel
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Univ Norbert Wiener, Digital Transformat Ctr, Lima 51001, Peru
Univ Tecnol Peru, Fac Engn, Sch Biomed, Lima 51001, PeruUniv Norbert Wiener, Digital Transformat Ctr, Lima 51001, Peru