Abstract
The existing high-accuracy environment matting extraction methods usually require the capturing of thousands of sample images and spend several hours in data acquisition. In this paper, a fast environment matting algorithm is proposed to extract the environment matte data effectively and efficiently. In particular, we incorporate the recently developed compressive sensing theory to simplify the data acquisition process. Moreover, taking into account special properties of light refraction and reflection effects of transparent object, we further propose to use hierarchical sampling and group clustering based recovery to accelerate the matte extraction process. Compared with the state-of-the-art approaches, our proposed algorithm significantly accelerates the environment matting extraction process while still achieving high-accuracy results.
Original language | English |
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Title of host publication | Electronic Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, ICME 2011 |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
ISBN (Print) | 9781612843490 |
DOIs | |
Publication status | Published - 2011 |
Externally published | Yes |
Event | IEEE International Conference on Multimedia and Expo 2011 - Barcelona, Spain Duration: 11 Jul 2011 → 15 Jul 2011 Conference number: 12th |
Publication series
Name | Proceedings - IEEE International Conference on Multimedia and Expo |
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ISSN (Print) | 1945-7871 |
ISSN (Electronic) | 1945-788X |
Conference
Conference | IEEE International Conference on Multimedia and Expo 2011 |
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Abbreviated title | ICME 2011 |
Country/Territory | Spain |
City | Barcelona |
Period | 11/07/11 → 15/07/11 |
Keywords
- Compressive Sensing
- Environmental Matting Extraction
- Hierarchical Sampling and Recovery