Investigation on motion estimation using Gibbs Markov random fields

184 p.

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Bibliographic Details
Main Author: Stephanus Surijadarma Tandjung
Other Authors: Seah Hock Soon
Format: Theses and Dissertations
Published: 2010
Subjects:
Online Access:https://hdl.handle.net/10356/35752
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-357522023-03-04T00:40:38Z Investigation on motion estimation using Gibbs Markov random fields Stephanus Surijadarma Tandjung Seah Hock Soon School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision 184 p. Motions estimation algorithms are an essential part in many video processing applications. In this thesis, a "true" motion field, or a correct apparent motion, is pursued. It can be used for some advanced processing such as motion segmentation. DOCTOR OF PHILOSOPHY (SCE) 2010-04-23T01:32:36Z 2010-04-23T01:32:36Z 2006 2006 Thesis Stephanus, S. T. (2006). Investigation on motion estimation using Gibbs Markov random fields. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/35752 10.32657/10356/35752 application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Stephanus Surijadarma Tandjung
Investigation on motion estimation using Gibbs Markov random fields
description 184 p.
author2 Seah Hock Soon
author_facet Seah Hock Soon
Stephanus Surijadarma Tandjung
format Theses and Dissertations
author Stephanus Surijadarma Tandjung
author_sort Stephanus Surijadarma Tandjung
title Investigation on motion estimation using Gibbs Markov random fields
title_short Investigation on motion estimation using Gibbs Markov random fields
title_full Investigation on motion estimation using Gibbs Markov random fields
title_fullStr Investigation on motion estimation using Gibbs Markov random fields
title_full_unstemmed Investigation on motion estimation using Gibbs Markov random fields
title_sort investigation on motion estimation using gibbs markov random fields
publishDate 2010
url https://hdl.handle.net/10356/35752
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