Statistically unbiased methods in motion estimation and image mosaicing
The purpose of the study is to study the existing structure from motion algorithms and propose statistically unbiased methods which can improve the performance in the presence of noise, and to find a motion estimation algorithm that has comparable performance and does not require additional computat...
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Format: | Thesis |
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2008
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Online Access: | http://hdl.handle.net/10356/3276 |
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author | Song, Weilin. |
author2 | Wang, Han |
author_facet | Wang, Han Song, Weilin. |
author_sort | Song, Weilin. |
collection | NTU |
description | The purpose of the study is to study the existing structure from motion algorithms and propose statistically unbiased methods which can improve the performance in the presence of noise, and to find a motion estimation algorithm that has comparable performance and does not require additional computation. |
first_indexed | 2025-02-19T03:21:29Z |
format | Thesis |
id | ntu-10356/3276 |
institution | Nanyang Technological University |
last_indexed | 2025-02-19T03:21:29Z |
publishDate | 2008 |
record_format | dspace |
spelling | ntu-10356/32762023-07-04T15:10:32Z Statistically unbiased methods in motion estimation and image mosaicing Song, Weilin. Wang, Han School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing The purpose of the study is to study the existing structure from motion algorithms and propose statistically unbiased methods which can improve the performance in the presence of noise, and to find a motion estimation algorithm that has comparable performance and does not require additional computation. Master of Engineering 2008-09-17T09:26:13Z 2008-09-17T09:26:13Z 2001 2001 Thesis http://hdl.handle.net/10356/3276 Nanyang Technological University application/pdf |
spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Song, Weilin. Statistically unbiased methods in motion estimation and image mosaicing |
title | Statistically unbiased methods in motion estimation and image mosaicing |
title_full | Statistically unbiased methods in motion estimation and image mosaicing |
title_fullStr | Statistically unbiased methods in motion estimation and image mosaicing |
title_full_unstemmed | Statistically unbiased methods in motion estimation and image mosaicing |
title_short | Statistically unbiased methods in motion estimation and image mosaicing |
title_sort | statistically unbiased methods in motion estimation and image mosaicing |
topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
url | http://hdl.handle.net/10356/3276 |
work_keys_str_mv | AT songweilin statisticallyunbiasedmethodsinmotionestimationandimagemosaicing |