Localisation and identification of 3D objects using computer vision

The objectives of the project is to investigate research methodologies involving range maps: three dimensional range images, particularly in the area of automatically recognizing common, free-forming objects which are represented by their 3D shape, rather than their 2D intensity images.

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Bibliographic Details
Main Authors: Chua, Chin Seng., Ho, Yeong Khing.
Other Authors: School of Electrical and Electronic Engineering
Format: Research Report
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/2832
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-2832
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spelling sg-ntu-dr.10356-28322023-03-04T03:23:11Z Localisation and identification of 3D objects using computer vision Chua, Chin Seng. Ho, Yeong Khing. School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing The objectives of the project is to investigate research methodologies involving range maps: three dimensional range images, particularly in the area of automatically recognizing common, free-forming objects which are represented by their 3D shape, rather than their 2D intensity images. RG 47/97 2008-09-17T09:15:19Z 2008-09-17T09:15:19Z 2002 2002 Research Report http://hdl.handle.net/10356/2832 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Chua, Chin Seng.
Ho, Yeong Khing.
Localisation and identification of 3D objects using computer vision
description The objectives of the project is to investigate research methodologies involving range maps: three dimensional range images, particularly in the area of automatically recognizing common, free-forming objects which are represented by their 3D shape, rather than their 2D intensity images.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Chua, Chin Seng.
Ho, Yeong Khing.
format Research Report
author Chua, Chin Seng.
Ho, Yeong Khing.
author_sort Chua, Chin Seng.
title Localisation and identification of 3D objects using computer vision
title_short Localisation and identification of 3D objects using computer vision
title_full Localisation and identification of 3D objects using computer vision
title_fullStr Localisation and identification of 3D objects using computer vision
title_full_unstemmed Localisation and identification of 3D objects using computer vision
title_sort localisation and identification of 3d objects using computer vision
publishDate 2008
url http://hdl.handle.net/10356/2832
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