Login | Create Account
   

3D Object Recognition Using Multiple Views And Neural Networks.

Mashor, M Y and Osman, M K and Arshad, M R (2006) 3D Object Recognition Using Multiple Views And Neural Networks. In: International Conference on Man-Machine Systems (ICoMMS 2006), 15-16 September 2006, City Bayview Hotel, Langkawi, Malaysia.

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
265Kb

Abstract

This paper proposes a method for recognition and classification of 3D objects. The method is based on 2D moments and neural networks. 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.

Item Type:Conference or Workshop Item (Paper)
Subjects:T Technology > TK Electrical Engineering. Electronics. Nuclear Engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering
ID Code:14448
Deposited By:Mr Erwan Roslan
Deposited On:12 Nov 2009 10:38
Last Modified:12 Nov 2009 10:38

Repository Staff Only: item control page

USM is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.
Share