Shared Sampling for Real-Time Alpha Matting
Image matting aims at extracting foreground elements from an image by means of color and opacity (alpha) estimation. While a lot of progress has been made in recent years on improving the accuracy of matting techniques, one common problem persisted: the low speed of matte computation. We present the...
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| Vydané v: | Computer graphics forum Ročník 29; číslo 2; s. 575 - 584 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
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Oxford, UK
Blackwell Publishing Ltd
01.05.2010
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| ISSN: | 0167-7055, 1467-8659 |
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| Abstract | Image matting aims at extracting foreground elements from an image by means of color and opacity (alpha) estimation. While a lot of progress has been made in recent years on improving the accuracy of matting techniques, one common problem persisted: the low speed of matte computation. We present the first real‐time matting technique for natural images and videos. Our technique is based on the observation that, for small neighborhoods, pixels tend to share similar attributes. Therefore, independently treating each pixel in the unknown regions of a trimap results in a lot of redundant work. We show how this computation can be significantly and safely reduced by means of a careful selection of pairs of background and foreground samples. Our technique achieves speedups of up to two orders of magnitude compared to previous ones, while producing high‐quality alpha mattes. The quality of our results has been verified through an independent benchmark. The speed of our technique enables, for the first time, real‐time alpha matting of videos, and has the potential to enable a new class of exciting applications. |
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| AbstractList | Image matting aims at extracting foreground elements from an image by means of color and opacity (alpha) estimation. While a lot of progress has been made in recent years on improving the accuracy of matting techniques, one common problem persisted: the low speed of matte computation. We present the first real-time matting technique for natural images and videos. Our technique is based on the observation that, for small neighborhoods, pixels tend to share similar attributes. Therefore, independently treating each pixel in the unknown regions of a trimap results in a lot of redundant work. We show how this computation can be significantly and safely reduced by means of a careful selection of pairs of background and foreground samples. Our technique achieves speedups of up to two orders of magnitude compared to previous ones, while producing high-quality alpha mattes. The quality of our results has been verified through an independent benchmark. The speed of our technique enables, for the first time, real-time alpha matting of videos, and has the potential to enable a new class of exciting applications. Image matting aims at extracting foreground elements from an image by means of color and opacity (alpha) estimation. While a lot of progress has been made in recent years on improving the accuracy of matting techniques, one common problem persisted: the low speed of matte computation. We present the first real-time matting technique for natural images and videos. Our technique is based on the observation that, for small neighborhoods, pixels tend to share similar attributes. Therefore, independently treating each pixel in the unknown regions of a trimap results in a lot of redundant work. We show how this computation can be significantly and safely reduced by means of a careful selection of pairs of background and foreground samples. Our technique achieves speedups of up to two orders of magnitude compared to previous ones, while producing high-quality alpha mattes. The quality of our results has been verified through an independent benchmark. The speed of our technique enables, for the first time, real-time alpha matting of videos, and has the potential to enable a new class of exciting applications. [PUBLICATION ABSTRACT] |
| Author | Oliveira, Manuel M. Gastal, Eduardo S. L. |
| Author_xml | – sequence: 1 givenname: Eduardo S. L. surname: Gastal fullname: Gastal, Eduardo S. L. organization: Instituto de Informática, UFRGS – sequence: 2 givenname: Manuel M. surname: Oliveira fullname: Oliveira, Manuel M. organization: Instituto de Informática, UFRGS |
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| References_xml | – reference: Ruzon M., Tomasi C.: Alpha estimation in natural images. In CVPR (2000), vol. 1, pp. 18-25. – reference: Bai X., Wang J., Simons D., Sapiro G.: Video snapcut: robust video object cutout using localized classifiers. ACM Trans. Graph. 28, 3 (2009), 1-11. – reference: Wang J., Cohen M. F.: Image and video matting: a survey. Foundations and Trends in Computer Graphics and Vision 3, 2 (2007), 97-175. – reference: McGuire M., Matusik W., Pfister H., Hughes J. F., Durand F.: Defocus video matting. ACM Trans. Graph. 24, 3 (2005), 567-576. – reference: Sun J., Jia J., Tang C.-K., Shum H.-Y.: Poisson matting. ACM Trans. Graph. 23, 3 (2004), 315-321. – reference: Omer I., Werman M.: Color lines: Image specific color representation. In CVPR (2004), vol. 2, pp. 946-953. – reference: Levin A., Lischinski D., Weiss Y.: A closed-form solution to natural image matting. TPAMI 30, 2 (2008), 228-242. – reference: Chuang Y.-Y., Curless B., Salesin D. H., Szeliski R.: A bayesian approach to digital matting. In CVPR (2001), vol. 2, pp. 264-271. – year: 2009 – start-page: 265 year: 1995 end-page: 272 – volume: 1 start-page: 18 year: 2000 end-page: 25 article-title: Alpha estimation in natural images publication-title: CVPR – start-page: 1 year: 2007 end-page: 8 – start-page: 1 year: 2008 end-page: 8 – start-page: 423 year: 2005 end-page: 429 – volume: 3 start-page: 97 issue: 2 year: 2007 end-page: 175 article-title: Image and video matting: a survey publication-title: Foundations and Trends in Computer Graphics and Vision – volume: 23 start-page: 315 issue: 3 year: 2004 end-page: 321 article-title: Poisson matting publication-title: ACM Trans. Graph – volume: 2 start-page: 946 year: 2004 end-page: 953 article-title: Color lines: Image specific color representation publication-title: CVPR – volume: 28 start-page: 1 issue: 3 year: 2009 end-page: 11 article-title: Video snapcut: robust video object cutout using localized classifiers publication-title: ACM Trans. Graph – start-page: 1155 year: 2008 end-page: 1164 – volume: 30 start-page: 228 issue: 2 year: 2008 end-page: 242 article-title: A closed‐form solution to natural image matting publication-title: TPAMI – year: Oct. 11 1994 – start-page: 1 year: 2008 end-page: 5 – start-page: 9 year: 2007 – volume: 24 start-page: 567 issue: 3 year: 2005 end-page: 576 article-title: Defocus video matting publication-title: ACM Trans. Graph – volume: 2 start-page: 264 year: 2001 end-page: 271 article-title: A bayesian approach to digital matting publication-title: CVPR – ident: e_1_2_8_5_2 doi: 10.1109/CVPRW.2008.4563170 – ident: e_1_2_8_13_2 doi: 10.1109/CVPR.2008.4587441 – ident: e_1_2_8_7_2 doi: 10.1109/TPAMI.2007.1177 – ident: e_1_2_8_9_2 doi: 10.1145/1073204.1073231 – ident: e_1_2_8_19_2 doi: 10.1561/0600000019 – ident: e_1_2_8_6_2 – volume: 2 start-page: 946 year: 2004 ident: e_1_2_8_11_2 article-title: Color lines: Image specific color representation publication-title: CVPR – ident: e_1_2_8_12_2 doi: 10.5244/C.22.115 – ident: e_1_2_8_8_2 – ident: e_1_2_8_2_2 doi: 10.21236/ADA478319 – volume: 1 start-page: 18 year: 2000 ident: e_1_2_8_15_2 article-title: Alpha estimation in natural images publication-title: CVPR – ident: e_1_2_8_3_2 doi: 10.1145/1531326.1531376 – ident: e_1_2_8_16_2 doi: 10.1145/1015706.1015721 – ident: e_1_2_8_18_2 doi: 10.1145/1276377.1276389 – volume: 2 start-page: 264 year: 2001 ident: e_1_2_8_4_2 article-title: A bayesian approach to digital matting publication-title: CVPR – ident: e_1_2_8_14_2 doi: 10.1109/CVPR.2009.5206503 – ident: e_1_2_8_20_2 doi: 10.1109/CVPR.2007.383006 – ident: e_1_2_8_10_2 doi: 10.1145/218380.218450 – ident: e_1_2_8_17_2 doi: 10.1109/CVPR.2009.5206491 |
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| Title | Shared Sampling for Real-Time Alpha Matting |
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