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Image-based environment matting

Published: 26 July 2002 Publication History

Abstract

Environment matting is a powerful technique for modeling the complex light-transport properties of real-world optically active elements: transparent, refractive and reflective objects. Recent research has shown how environment mattes can be computed for real objects under carefully controlled laboratory conditions. However, many objects for which environment mattes are necessary for accurate rendering cannot be placed into a calibrated lighting environment. We show in this paper that analysis of the way in which optical elements distort the appearance of their backgrounds allows the construction of environment mattes in situ without the need for specialized calibration.Specifically, given multiple images of the same element over the same background, where the element and background have relative motion, it is shown that both the background and the optical element's light-transport path can be computed.We demonstrate the technique on two different examples. In the first case, the optical element's geometry is simple, and evaluation of the realism of the output is easy. In the second, previous techniques would be difficult to apply. We show that image-based environment matting yields a realistic solution. We discuss how the stability of the solution depends on the number of images used, and how to regularize the solution where only a small number of images are available.

References

[1]
I. Wald and P. Slusallek. State of the Art in Interactive Ray Tracing. The Eurographics Association, 2001.]]
[2]
D. E. Zongker, D. M. Werner, B. Curless, and D. H. Salesin. Environment matting and compositing. In Proceedings, Siggraph, pages 205--214, 1999.]]
[3]
Y.-Y. Chuang, D. E. Zongker, J. Hindorff, B. Curless, D. H. Salesin, and R. Szeliski. Environment matting extensions: Towards higher accuracy and real-time capture. In Proceedings, Siggraph, pages 12--130, 2000.]]
[4]
S. J. Gortler, R. Grzeszczuk, R. Szeliski, and M. F. Cohen. The lumigraph. In SIGGRAPH96, 1996.]]
[5]
M. Levoy and P. Hanrahan. Light field rendering. In SIGGRAPH96, 1996.]]
[6]
Y.-Y. Chuang, B. Curless, D. Salesin, and R. Szeliski. A bayesian approach to digital matting. In CVPR 2001, 2000.]]
[7]
Y. Wexler, A. W. Fitzgibbon, and A. Zisserman. Bayesian estimation of layers from multiple images. In Proc. European Conference on Computer Vision. Springer-Verlag, 2002. To appear.]]
[8]
M. Irani, B. Rousso, and S. Peleg. Detecting and tracking multiple moving objects using temporal integration. In G. Sandini, editor, Proc. 2nd European Conference on Computer Vision, Santa Margharita Ligure, Italy, pages 282--287. Springer-Verlag, 1992.]]
[9]
A. R. Smith and J. F. Blinn. Blue screen matting. In Proc. SIGGRAPH, pages 259--268, 1996.]]
[10]
J.F. Blinn and M.E. Newell. Texture and reflection in computer generated images. Communications of the ACM, 19(10):542--547, 1976.]]
[11]
S. E. Chen. QuickTime VR --- an image-based approach to virtual environment navigation. Computer Graphics, 29(Annual Conference Series):29--38, 1995.]]
[12]
M. Irani, B. Rousso, and S. Peleg. Computing occluding and transparent motions. International Journal of Computer Vision, 12(1):5--16, 1994.]]
[13]
J. L. Barron, D. J. Fleet, and S. S. Beauchemin. Performance of optical flow techniques. International Journal of Computer Vision, 12(1):43--77, 1994.]]
[14]
M. A. Fischler and R. C. Bolles. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Comm. Assoc. Comp. Mach., 24(6):381--395, 1981.]]
[15]
M. Irani and P. Anandan. About direct methods. In W. Triggs, A. Zisserman, and R. Szeliski, editors, Vision Algorithms: Theory and Practice, volume 1883 of LNCS, pages 267--277. Springer, 2000.]]
[16]
P. H. S. Torr and A. Zisserman. Feature based methods for structure and motion estimation. In W. Triggs, A. Zisserman, and R. Szeliski, editors, Vision Algorithms: Theory and Practice, volume 1883 of LNCS, pages 278--294. Springer, 2000.]]
[17]
R. I. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, ISBN: 0521623049, 2000.]]
[18]
S. Peleg and J. Herman. Panoramic mosaics by manifold projection. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, 1997.]]
[19]
P. J. Huber. Robust Statistics. John Willey and Sons, 1981.]]

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cover image ACM Other conferences
EGRW '02: Proceedings of the 13th Eurographics workshop on Rendering
July 2002
336 pages
ISBN:1581135343

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  • EUROGRAPHICS: The European Association for Computer Graphics

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Eurographics Association

Goslar, Germany

Publication History

Published: 26 July 2002

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EGRW02
Sponsor:
  • EUROGRAPHICS
EGRW02: Eurographics Workshop on Rendering
June 26 - 28, 2002
Pisa, Italy

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  • (2018)Full 3D reconstruction of transparent objectsACM Transactions on Graphics10.1145/3197517.320128637:4(1-11)Online publication date: 30-Jul-2018
  • (2012)Matting and Compositing for Fresnel Reflection on Wavy SurfacesComputer Graphics Forum10.1111/j.1467-8659.2012.03139.x31:4(1435-1443)Online publication date: 1-Jun-2012
  • (2012)Collective-reward based approach for detection of semi-transparent objects in single imagesComputer Vision and Image Understanding10.1016/j.cviu.2011.11.004116:4(484-499)Online publication date: 1-Apr-2012
  • (2011)Multi-view alpha matte for free viewpoint renderingProceedings of the 5th international conference on Computer vision/computer graphics collaboration techniques10.5555/2050320.2050329(98-109)Online publication date: 10-Oct-2011
  • (2011)Matting and compositing of transparent and refractive objectsACM Transactions on Graphics10.1145/1899404.189940630:1(1-13)Online publication date: 2-Feb-2011
  • (2010)Seeing through obscure glassProceedings of the 11th European conference on Computer vision: Part VI10.5555/1888212.1888241(364-378)Online publication date: 5-Sep-2010
  • (2009)Vector field fitting for real-time environment matting of transparent objectsProceedings of the 16th IEEE international conference on Image processing10.5555/1819298.1819622(3193-3196)Online publication date: 7-Nov-2009
  • (2007)Adaptive sampling of reflectance fieldsACM Transactions on Graphics10.1145/1243980.124398426:2(10-es)Online publication date: 1-Jun-2007
  • (2006)Tomographic reconstruction of transparent objectsProceedings of the 17th Eurographics conference on Rendering Techniques10.5555/2383894.2383902(51-60)Online publication date: 26-Jun-2006
  • (2006)A neural network for simultaneously reconstructing transparent and opaque surfacesProceedings of the Third international conference on Image Analysis and Recognition - Volume Part II10.1007/11867661_15(157-168)Online publication date: 18-Sep-2006
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