3D object recognition using 2D moments and HMLP network
Proceedings of The International Conference on Computer Graphics, Imaging and Visualization (CGIV 2004), 26th-29th July 2004 at Penang, Malaysia.
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IEEE Conference Publications
2014
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my.unimap-354382014-06-12T08:33:08Z 3D object recognition using 2D moments and HMLP network Mohd Yusoff, Mashor, Prof. Dr. Muhammad Khusairi, Osman Mohd Rizal, Arshad yusoff@unimap.edu.my khusairi@eng.usm.my rizal@eng.usm.my Hybrid multi-layered perceptrons (HMLP) Recognition rate Object recognition Proceedings of The International Conference on Computer Graphics, Imaging and Visualization (CGIV 2004), 26th-29th July 2004 at Penang, Malaysia. 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%. 2014-06-12T08:33:08Z 2014-06-12T08:33:08Z 2004-07 Working Paper p. 126-130 0-7695-2178-9 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1323972&tag=1 http://dspace.unimap.edu.my:80/dspace/handle/123456789/35438 http://dx.doi.org/10.1109/CGIV.2004.1323972 en Proceedings of The International Conference on Computer Graphics, Imaging and Visualization (CGIV 2004); IEEE Conference Publications |
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Malaysia |
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| language |
English |
| topic |
Hybrid multi-layered perceptrons (HMLP) Recognition rate Object recognition |
| spellingShingle |
Hybrid multi-layered perceptrons (HMLP) Recognition rate Object recognition Mohd Yusoff, Mashor, Prof. Dr. Muhammad Khusairi, Osman Mohd Rizal, Arshad 3D object recognition using 2D moments and HMLP network |
| description |
Proceedings of The International Conference on Computer Graphics, Imaging and Visualization (CGIV 2004), 26th-29th July 2004 at Penang, Malaysia. |
| author2 |
yusoff@unimap.edu.my |
| author_facet |
yusoff@unimap.edu.my Mohd Yusoff, Mashor, Prof. Dr. Muhammad Khusairi, Osman Mohd Rizal, Arshad |
| format |
Working Paper |
| author |
Mohd Yusoff, Mashor, Prof. Dr. Muhammad Khusairi, Osman Mohd Rizal, Arshad |
| author_sort |
Mohd Yusoff, Mashor, Prof. Dr. |
| title |
3D object recognition using 2D moments and HMLP network |
| title_short |
3D object recognition using 2D moments and HMLP network |
| title_full |
3D object recognition using 2D moments and HMLP network |
| title_fullStr |
3D object recognition using 2D moments and HMLP network |
| title_full_unstemmed |
3D object recognition using 2D moments and HMLP network |
| title_sort |
3d object recognition using 2d moments and hmlp network |
| publisher |
IEEE Conference Publications |
| publishDate |
2014 |
| url |
http://dspace.unimap.edu.my:80/dspace/handle/123456789/35438 |
| _version_ |
1643797312115310592 |