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Published Articles >> Table of Contents >> Abstract
March/April 2007 (Vol. 27, No. 2)
pp. 43-52
Exploring Defocus Matting: Nonparametric Acceleration, Super-Resolution, and Off-Center Matting
Neel Joshi, University of California, San Diego
Wojciech Matusik
Shai Avidan, Mitsubishi Electric Research Labs
Hanspeter Pfister, Mitsubishi Electric Research Labs
William T. Freeman, Massachusetts Institute of Technology
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCG.2007.32
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| Abstract |
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Defocus matting is a fully automatic and passive method for pulling mattes from video captured with coaxial cameras that have different depths of field and planes of focus. Nonparametric sampling can accelerate the video-matting process from minutes to seconds per frame. In addition, a super-resolution technique efficiently bridges the gap between mattes from high-resolution video cameras and those from low-resolution cameras. Off-center matting pulls mattes for an external high-resolution camera that doesn't share the same center of projection as the low-resolution cameras used to capture the defocus matting data.
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 References
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[1] N. Joshi, W. Matusik, and S. Avidan, "Natural Video Matting Using Camera Arrays," ACM Trans. Graphics, vol. 25, no. 3, July 2006, pp. 779–786.
[2] M. McGuire et al., "Defocus Video Matting," ACM Trans. Graphics, vol. 24, no. 3, Aug. 2005, pp. 567–576.
[3] A. Hertzmann et al., "Image Analogies," Proc. Computer Graphics (Siggraph), ACM Press, 2001, pp. 327–340.
[4] B.S. Reddy and B.N. Chatterji, "An FFT-based Technique for Translation, Rotation, and Scale-Invariant Image Registration," IEEE Trans. Image Processing, vol. 5, no. 8, 1996, pp. 1266–1271.
[5] P. Kornprobst, R. Deriche, and G. Aubert, "Nonlinear Operators in Image Restoration," Proc. IEEE Computer Soc. Conf. Computer Vision and Pattern Recognition (CVPR), IEEE CS Press, 1997, pp. 325–330.
[6] H.S. Sawhney et al., "Hybrid Stereo Camera: An IBR Approach for Synthesis of Very High Resolution Stereoscopic Image Sequences," Siggraph: Proc. 28th Ann. Conf. Computer Graphics and Interactive Techniques, ACM Press, 2001 pp. 451–460.
[7] A. Shashua and S. Avidan, "The Rank-4 Constraint in Multiple View Geometry," Proc. European Conf. Computer Vision (ECCV), Springer-Verlag, 1996, pp. 196–206.
Additional References
[1] B. Wallace, "Automated Production Techniques in Cartoon Animation," master's thesis, Cornell Univ., 1982.
[2] A.R. Smith and J.F. Blinn, "Blue Screen Matting," Computer Graphics, Proc. Siggraph, vol. 30, ACM Press, 1996, pp. 259–268.
[3] D.E. Zongker et al., "Environment Matting and Compositing," Proc. 26th Ann. Conf. Computer Graphics and Interactive Techniques, ACM Press/Addison-Wesley, 1999, pp. 205–214.
[4] M. Ruzon and C. Tomasi, "Alpha Estimation in Natural Images," Proc. IEEE Computer Soc. Conf. Computer Vision and Pattern Recognition (CVPR), IEEE CS Press, 2000, pp. 18–25.
[5] Y.-Y. Chuang et al., "A Bayesian Approach to Digital Matting," Proc. IEEE Computer Soc. Conf. Computer Vision and Pattern Recognition (CVPR), IEEE CS Press, 2001, pp. 264–271.
[6] J. Sun et al. "Poisson Matting," ACM Trans. Graphics, vol. 23, no. 3, 2004, pp. 315–321.
[7] Y.-Y. Chuang et al., "Video Matting of Complex Scenes," ACM Trans. Graphics, vol. 21, no. 3, 2002, pp. 243–248.
[8] K. Yasuda, T. Naemura, and H. Harashima, "Thermo-key: Human Region Segmentation from Video," IEEE Computer Graphics and Applications, vol. 24, no. 1, 2004, pp. 26–30.
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 Additional Information
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Index Terms- alpha matting and compositing, example-based rendering, image-based rendering, video processing, super-resolution
Citation:
Neel Joshi, Wojciech Matusik, Shai Avidan, Hanspeter Pfister, William T. Freeman,
"Exploring Defocus Matting: Nonparametric Acceleration, Super-Resolution, and Off-Center Matting,"
IEEE Computer Graphics and Applications,
vol. 27,
no. 2,
pp. 43-52,
Mar/Apr,
2007
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