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Báo cáo hóa học: " Editorial Search and Retrieval of 3D Content and Associated Knowledge Extraction and Propagation"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Editorial Search and Retrieval of 3D Content and Associated Knowledge Extraction and Propagation | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 39792 3 pages doi 10.1155 2007 39792 Editorial Search and Retrieval of 3D Content and Associated Knowledge Extraction and Propagation Petros Daras 1 Ming Ouhyoung 2 and Tsuhan Chen3 1 Informatics and Telematics Institute Centre for Research and Technology Hellas 57001 Thermi Thessaloniki Greece 2 Communication and Multimedia Lab Graduate Institute of Networking and Multimedia Department of Computer Science and Information Engineering National Taiwan University Taipei 106 Taiwan 3 Advanced Multimedia Processing AMP Laboratory Department of Electrical Computer Engineering Carnegie Mellon University Pittsburgh PA 15213 USA Received 30 May 2007 Accepted 30 May 2007 Copyright 2007 Petros Daras et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. With the general availability of 3D digitizers scanners and the technology innovation in 3D graphics and computational equipment large collections of 3D graphical models can be readily built up for different applications e.g. in CAD CAM games design computer animations manufacturing and molecular biology . For such large databases the method whereby 3D models are sought merits careful consideration. The simple and efficient query-by-content approach has up to now been almost universally adopted in the literature. The existing 3D retrieval systems allow the user to perform queries by example. The queried 3D model is then processed low-level geometrical features are extracted and similar objects are retrieved from a local database. A shortcoming of the methods that have been proposed so far regarding the 3D object retrieval is that neither is the semantic information high-level features attached to the low-level geometric features of the 3D content nor are the .