University Of Tasmania
whole_BinAbdullahMuhammadDimyati1993_thesis.pdf (2.48 MB)

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

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posted on 2023-05-27, 00:40 authored by Bin Abdullah, Muhammad Dimyati
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.


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Copyright 1993 the Author Thesis (MTech)--University of Tasmania, 1993. Includes bibliographical references

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