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.

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    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
    Divisions: Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraaan Elektrik & Elektronik (School of Electrical & Electronic Engineering)
    Depositing User: Mr Erwan Roslan
    Date Deposited: 12 Nov 2009 10:38
    Last Modified: 13 Jul 2013 13:37
    URI: http://eprints.usm.my/id/eprint/14448

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