Ordinal depth from SFM and its application in robust scene recognition

Ph.D

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Bibliographic Details
Main Author: LI SHIMIAO
Other Authors: ELECTRICAL & COMPUTER ENGINEERING
Format: Theses and Dissertations
Language:English
Published: 2010
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/17302
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-173022017-10-21T07:58:19Z Ordinal depth from SFM and its application in robust scene recognition LI SHIMIAO ELECTRICAL & COMPUTER ENGINEERING CHEONG LOONG FAH scene recognition, ordinal depth, structure from motion, TBL motion, 3D ordinal constraint, qualitative vision Ph.D DOCTOR OF PHILOSOPHY 2010-06-03T18:00:08Z 2010-06-03T18:00:08Z 2009-09-04 Thesis LI SHIMIAO (2009-09-04). Ordinal depth from SFM and its application in robust scene recognition. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/17302 NOT_IN_WOS en
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
language English
topic scene recognition, ordinal depth, structure from motion, TBL motion, 3D ordinal constraint, qualitative vision
spellingShingle scene recognition, ordinal depth, structure from motion, TBL motion, 3D ordinal constraint, qualitative vision
LI SHIMIAO
Ordinal depth from SFM and its application in robust scene recognition
description Ph.D
author2 ELECTRICAL & COMPUTER ENGINEERING
author_facet ELECTRICAL & COMPUTER ENGINEERING
LI SHIMIAO
format Theses and Dissertations
author LI SHIMIAO
author_sort LI SHIMIAO
title Ordinal depth from SFM and its application in robust scene recognition
title_short Ordinal depth from SFM and its application in robust scene recognition
title_full Ordinal depth from SFM and its application in robust scene recognition
title_fullStr Ordinal depth from SFM and its application in robust scene recognition
title_full_unstemmed Ordinal depth from SFM and its application in robust scene recognition
title_sort ordinal depth from sfm and its application in robust scene recognition
publishDate 2010
url http://scholarbank.nus.edu.sg/handle/10635/17302
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