Neural networks as applied to vision systems in recognizing 3-D objects in different orientations
The thesis is about Neural Networks as applied to Vision Systems in recognizing three dimensional objects in different orientations. It aims to capture an object, digitize and process its image into a form acceptable as input to the neural software for training and recognizing purposes. The group co...
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oai:animorepository.dlsu.edu.ph:etd_bachelors-168922022-02-10T01:27:13Z Neural networks as applied to vision systems in recognizing 3-D objects in different orientations Choi, Tsun Kit Chua, Geraldine Li, Pek Yeung Yu, Hilda Tiu The thesis is about Neural Networks as applied to Vision Systems in recognizing three dimensional objects in different orientations. It aims to capture an object, digitize and process its image into a form acceptable as input to the neural software for training and recognizing purposes. The group considers simple objects that have well defined edges. Different orientations of a particular object will be presented during the training phase of the neural network. Those orientations presented during the training phase together formed the training set. After this, the network will be presented with the same object but in a different orientation. The network must be able to recognize it as the same object even when the said object is presented in a way that is not included in the training set. The mapping network to be used for the said application is Backpropagation Network (BPN). For the hardware needed to support the neural software, the vision system, the group based it from the previous thesis on 3-D Visual Ranging and Navigating Vehicle. This thesis which has a lot of theories and concepts would serve as a basis for further application. 1993-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/16379 Bachelor's Theses English Animo Repository Neural networks (Computer science) Computer vision Computer systems Three-dimensional display systems Pattern recognition systems |
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Neural networks (Computer science) Computer vision Computer systems Three-dimensional display systems Pattern recognition systems Choi, Tsun Kit Chua, Geraldine Li, Pek Yeung Yu, Hilda Tiu Neural networks as applied to vision systems in recognizing 3-D objects in different orientations |
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The thesis is about Neural Networks as applied to Vision Systems in recognizing three dimensional objects in different orientations. It aims to capture an object, digitize and process its image into a form acceptable as input to the neural software for training and recognizing purposes. The group considers simple objects that have well defined edges. Different orientations of a particular object will be presented during the training phase of the neural network. Those orientations presented during the training phase together formed the training set. After this, the network will be presented with the same object but in a different orientation. The network must be able to recognize it as the same object even when the said object is presented in a way that is not included in the training set. The mapping network to be used for the said application is Backpropagation Network (BPN). For the hardware needed to support the neural software, the vision system, the group based it from the previous thesis on 3-D Visual Ranging and Navigating Vehicle. This thesis which has a lot of theories and concepts would serve as a basis for further application. |
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text |
author |
Choi, Tsun Kit Chua, Geraldine Li, Pek Yeung Yu, Hilda Tiu |
author_facet |
Choi, Tsun Kit Chua, Geraldine Li, Pek Yeung Yu, Hilda Tiu |
author_sort |
Choi, Tsun Kit |
title |
Neural networks as applied to vision systems in recognizing 3-D objects in different orientations |
title_short |
Neural networks as applied to vision systems in recognizing 3-D objects in different orientations |
title_full |
Neural networks as applied to vision systems in recognizing 3-D objects in different orientations |
title_fullStr |
Neural networks as applied to vision systems in recognizing 3-D objects in different orientations |
title_full_unstemmed |
Neural networks as applied to vision systems in recognizing 3-D objects in different orientations |
title_sort |
neural networks as applied to vision systems in recognizing 3-d objects in different orientations |
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Animo Repository |
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1993 |
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https://animorepository.dlsu.edu.ph/etd_bachelors/16379 |
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