DocumentCode :
1949541
Title :
Color-Based 3D Model Classification Using Hopfield Neural Network
Author :
Wei, Wei ; Yang, Yubin ; Lin, Jinjie ; Ruan, Jiabin
Author_Institution :
State Key Lab. for Novel Software Technol., Nanjing Univ., Nanjing
Volume :
1
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
883
Lastpage :
886
Abstract :
With the increasing amount and extensive usage of 3D models in many areas, there is a demanding need for developing 3D models retrieval systems. Because of the importance of appearance properties in content-based 3D model retrieval system, the paper presents a 3D model classification method based on color information. Firstly, the system architecture is introduced. Next, the proposed method that adopts Hopfield neural network to analyze the color features of 3D models is presented. Experimental results of classifying 3D VRML model using the proposed method are then analyzed and have shown the effectiveness of our method.
Keywords :
Hopfield neural nets; content-based retrieval; image classification; image colour analysis; image retrieval; solid modelling; 3D VRML model; Hopfield neural network; color-based 3D model classification; content-based 3D model retrieval system; Artificial neural networks; Biological neural networks; Color; Content based retrieval; Feature extraction; Geometry; Hopfield neural networks; Information retrieval; Shape control; Shape measurement; 3D model; Hopfield neural network; color-based classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.1177
Filename :
4721891
Link To Document :
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