Investigation on motion estimation using Gibbs Markov random fields
184 p.
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2010
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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 |
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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 |
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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 |
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Investigation on motion estimation using Gibbs Markov random fields |
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Investigation on motion estimation using Gibbs Markov random fields |
title_sort |
investigation on motion estimation using gibbs markov random fields |
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2010 |
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https://hdl.handle.net/10356/35752 |
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1759853701265096704 |