Natural Image Matting
| dc.contributor.author | Hillman, Peter M. | en_US |
| dc.contributor.author | Hannah, John M. | en_US |
| dc.contributor.editor | Mike Chantler | en_US |
| dc.date.accessioned | 2016-02-11T13:30:56Z | |
| dc.date.available | 2016-02-11T13:30:56Z | |
| dc.date.issued | 2005 | en_US |
| dc.description.abstract | Matte 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.description.sectionheaders | Rendering | en_US |
| dc.description.seriesinformation | Vision, Video, and Graphics (2005) | en_US |
| dc.identifier.doi | 10.2312/vvg.20051029 | en_US |
| dc.identifier.isbn | 3-905673-57-6 | en_US |
| dc.identifier.pages | 211-218 | en_US |
| dc.identifier.uri | https://doi.org/10.2312/vvg.20051029 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | I.4.6 [Image Processing and Computer Vision] | en_US |
| dc.subject | Segmentation | en_US |
| dc.title | Natural Image Matting | en_US |
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