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Image processing / Graphical models / Science / Markov random field / Segmentation / Texture mapping / Scientific method / Texture / Applied mathematics / 3D computer graphics / Texture synthesis / Artificial intelligence


A NONPARAMETRIC MULTISCALE MARKOV RANDOM FIELD MODEL FOR SYNTHESISING NATURAL TEXTURES Rupert D. Paget and Dennis Longstaff Department of Electrical and Computer Engineering University of Queensland QLD 4072 AUSTRALIA
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Document Date: 2009-01-20 18:06:35


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City

London / New York / /

Company

Dover Publications Inc. / /

/

Facility

Computer Engineering University of Queensland QLD / University of Queensland / /

IndustryTerm

classification algorithm / lattice systems / large neighbourhood systems / image processing / multiscale texture synthesis algorithm / synthesis algorithm / imaging / random systems / /

Organization

Royal Statistical Society / Department of Electrical and Computer Engineering / International Congress / University of Queensland / Dennis Longstaff Department of Electrical / Cooperative Research Centre for Sensor / Signal / and Information Processing / Electrical and Computer Engineering University of Queensland QLD / Pattern Analysis and Machine Intelligence / /

Person

John Moussouris / Donald Geman / Julian E. Besag / Anil K. Jain / Richard C. Dubes / Stuart Geman / Michal Haindl / Dennis Longstaff / Rupert D. Paget / /

Position

representative / /

ProvinceOrState

Queensland / New York / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Journal of the Royal Statistical Society / /

Technology

SR algorithm / multiscale texture synthesis algorithm / synthesis algorithm / classification algorithm / well known SR algorithm / image processing / /

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