NDLI: 3D object recognition using 2D moments and HMLP network

Content Provider	IEEE Xplore Digital Library
Author	Mashor, M.Y. Osman, M.K. Arshad, M.R.
Copyright Year	2004
Description	Author affiliation: Control & Electron. Intelligent Syst. (CELIS) Res. Group, Universiti Sains Malaysia, Pulau Pinang, Malaysia (Mashor, M.Y.; Osman, M.K.; Arshad, M.R.)
Abstract	This paper proposes a method for recognition and classification of 3D objects using 2D moments and HMLP network. The 2D moments are calculated based on 2D intensity images taken from multiple cameras that have been arranged using multiple views technique. 2D moments are commonly used for 2D pattern recognition. However, the current study proves that with some adaptation to multiple views technique, 2D moments are sufficient to model 3D objects. In addition, the simplicity of 2D moment's calculation reduces the processing time for feature extraction, thus decreases the recognition time. The 2D moments were then fed into a neural network for classification of the 3D objects. In the current study, hybrid multi-layered perceptron (HMLP) network is proposed to perform the classification. Two distinct groups of objects that are polyhedral and free-form objects were used to access the performance of the proposed method. The recognition results show that the proposed method has successfully classified the 3D object with the accuracy of up to 100%.
Starting Page	126
Ending Page	130
File Size	456556
Page Count	5
File Format	PDF
ISBN	0769521789
DOI	10.1109/CGIV.2004.1323972
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-07-02
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geometry Intelligent networks Shape Machine vision Cameras Feature extraction Control systems Object recognition Intelligent systems Intelligent control
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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