Deformable models for object extraction and matching
This thesis focuses on developing affine invariant deformable models and algorithms for object extraction and matching. In addition, the applications of the proposed algorithms in the field of human facial feature extraction and lane detection for outdoor Autonomous Guided Vehicles (AGVs) are invest...
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2008
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sg-ntu-dr.10356-38132023-07-04T15:08:53Z Deformable models for object extraction and matching Xue, Zhong. Teoh, Eam Khwang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing This thesis focuses on developing affine invariant deformable models and algorithms for object extraction and matching. In addition, the applications of the proposed algorithms in the field of human facial feature extraction and lane detection for outdoor Autonomous Guided Vehicles (AGVs) are investigated. Doctor of Philosophy (EEE) 2008-09-17T09:38:06Z 2008-09-17T09:38:06Z 2002 2002 Thesis http://hdl.handle.net/10356/3813 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Xue, Zhong. Deformable models for object extraction and matching |
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This thesis focuses on developing affine invariant deformable models and algorithms for object extraction and matching. In addition, the applications of the proposed algorithms in the field of human facial feature extraction and lane detection for outdoor Autonomous Guided Vehicles (AGVs) are investigated. |
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Teoh, Eam Khwang |
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Teoh, Eam Khwang Xue, Zhong. |
format |
Theses and Dissertations |
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Xue, Zhong. |
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Xue, Zhong. |
title |
Deformable models for object extraction and matching |
title_short |
Deformable models for object extraction and matching |
title_full |
Deformable models for object extraction and matching |
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Deformable models for object extraction and matching |
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Deformable models for object extraction and matching |
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deformable models for object extraction and matching |
publishDate |
2008 |
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http://hdl.handle.net/10356/3813 |
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1772825636102995968 |