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dc.contributor.authorHillman, Peter M.en_US
dc.contributor.authorHannah, John M.en_US
dc.contributor.editorMike Chantleren_US
dc.date.accessioned2016-02-11T13:30:56Z
dc.date.available2016-02-11T13:30:56Z
dc.date.issued2005en_US
dc.identifier.isbn3-905673-57-6en_US
dc.identifier.urihttp://dx.doi.org/10.2312/vvg.20051029en_US
dc.description.abstractMatte pulling - generating greyscale images which indicate segmentation of images into elements with subpixel accuracy and where blur causes pixels to be a mixture of elements - has received attention in recent years. Many of the algorithms are too slow or too unpredictable to be of practical use in motion picture Post-production. Assessing the performance of different algorithms is also a complex task. This paper presents an optimisation which can be applied to many algorithms in order to allow them to run at interactive speeds, introduces a new algorithm based on Colour Lines, and presents a technique which can be used as a formal test-bench to measure the performance of matte algorithms.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.6 [Image Processing and Computer Vision]en_US
dc.subjectSegmentationen_US
dc.titleNatural Image Mattingen_US
dc.description.seriesinformationVision, Video, and Graphics (2005)en_US
dc.description.sectionheadersRenderingen_US
dc.identifier.doi10.2312/vvg.20051029en_US
dc.identifier.pages211-218en_US


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  • VVG05
    ISBN 3-905673-57-6

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