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3-D sensing of object orientation using back propagation neural network

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Bin Abdullah, Muhammad Dimyati (1993) 3-D sensing of object orientation using back propagation neural network. Coursework Master thesis, University of Tasmania.

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Abstract

This thesis is about the application of Neural Networks in the sensing of an
object position relative to a reference point. An object is rotated a certain
angle in space and a Neural Network was then used to estimate its
orientation. Previous methods had always been to transform 3-dimensional
data into 2-dimensional data before presenting it to the network. In this
thesis 3-dimensional data is used as the input to the Neural Network.
Training data was obtained via two methods, the first one was through a
Pascal program and the other through a commercial CAD software. The
input to the Backpropagation Network are coordinates of the object
vertices and the target output are the rotation parameters for each
particular position.

Item Type: Thesis (Coursework Master)
Copyright Holders: The Author
Copyright Information:

Copyright 1993 the Author

Additional Information:

Available for use in the Library and copying in accordance with the Copyright Act 1968, as amended. Thesis (MTech)--University of Tasmania, 1993. Includes bibliographical references

Date Deposited: 25 Nov 2014 00:58
Last Modified: 04 May 2016 00:37
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