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3D object reconstruction and representation using neural networks

Lim, Wen Peng and Shamsuddin, Siti Mariyam (2004) 3D object reconstruction and representation using neural networks. In: Proceedings GRAPHITE 2004: 2nd Internatiomal Conference on Computer Graphics and Interactive Techniques in Australia and Southeast Asia. .

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Abstract

3D object reconstruction is frequent used in various fields such as product design, engineering, medical and artistic applications. Numerous reconstruction techniques and software were introduced and developed. However, the purpose of this paper is to fully integrate an adaptive artificial neural network (ANN) based method in reconstructing and representing 3D objects. This study explores the ability of neural networks in learning through experience when reconstructing an object by estimating it’s z-coordinate. Neural networks ’ capability in representing most classes of 3D objects used in computer graphics is also proven. Simple affined transformation is applied on different objects using this approach and compared with the real objects. The results show that neural network is a promising approach for reconstruction and representation of 3D objects.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:reconstruction, representation, back propagation, multilayer feed-forward neural networks, affined transformation, third order polynomial, object space
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:16147
Deposited By: Ms Zalinda Shuratman
Deposited On:31 Oct 2011 14:32
Last Modified:31 Oct 2011 14:32

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