Abstract
Image matting is the process of isolating the foreground in images and video. This task is challenging as it is severely under constrained. At each pixel we must estimate theforeground and background colour and the blending betweenthem (alpha value). Most approaches calculate an affinity matrixand then minimise a system of linear equations to find the alpha matte. In this work we propose an extension to this class ofaffinity based matting techniques by introducing a Total Variation constraint over the alpha matte. We show that our Total VariationRegularisation method improves results in the presence of hard boundaries, gaps and holes.
| Original language | English |
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| Title of host publication | Proceedings of the 2012 International Conference on Digital Image Computing: Techniques and Applications |
| Place of Publication | United States |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 1-8 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781467321815 |
| DOIs | |
| Publication status | Published - 2012 |
| Event | 2012 International Conference on Digital Image Computing: Techniques and Applications (DICTA) - Esplanade Hotel, Fremantle, Australia Duration: 03 Dec 2012 → 05 Dec 2012 |
Conference
| Conference | 2012 International Conference on Digital Image Computing: Techniques and Applications (DICTA) |
|---|---|
| Country/Territory | Australia |
| City | Fremantle |
| Period | 03/12/12 → 05/12/12 |
| Other | The International Conference on Digital Image Computing: Techniques and Applications (DICTA) is the main Australian Conference on computer vision, image processing, pattern recognition, and related areas. DICTA was established as a biannual conference in 1991 and became an annual event in 2007. It is the premiere conference of the Australian Pattern Recognition Society (APRS). |