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research-article

Retrieving Shape Information from Multiple Images of a Specular Surface

Author:

H. SchultzAuthors Info & Claims

IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 16, Issue 2

Pages 195 - 201

https://doi.org/10.1109/34.273732

Published: 01 February 1994 Publication History

Abstract

In many remote sensing and machine vision applications, the shape of a specular surface such as water, glass, or polished metal must be determined instantaneously and under natural lighting conditions. Most image analysis techniques, however, assume surface reflectance properties or lighting conditions that are incompatible with these situations. To retrieve the shape of smooth specular surfaces, a technique known as specular surface stereo was developed. The method analyzes multiple images of a surface and finds a surface shape that results in a set of synthetic images that match the observed ones. An image synthesis model is used to predict image irradiance values as a function of the shape and reflectance properties of the surface, camera geometry, and radiance distribution of the illumination. The specular surface stereo technique was tested by processing four numerical simulations-a water surface illuminated by a low- and high-contrast extended light source, and a mirrored surface illuminated by a low- and high-contrast extended light source. Under these controlled circumstances, the recovered surface shape showed good agreement with the known input.

References

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{4} E. N. Coleman and R. Jain, "Obtaining 3-dimensional shape of textured and specular surface using four-source photometry," Comput. Graphics Image Processing, vol. 18, pp. 309-328, Apr. 1982.

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{5} E. Hartt and M. Carlotto, "A method for shape-from-shading using multiple images acquired under different viewing and lighting conditions," in Proc. IEEE Comput. Vision and Pattern Recognition, San Diego, CA, 1989, pp. 53-60.

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Digital Library

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Digital Library

Cited By

Yoon KPrados ESturm P(2010)Joint Estimation of Shape and Reflectance using Multiple Images with Known Illumination ConditionsInternational Journal of Computer Vision10.1007/s11263-009-0222-486:2-3(192-210)Online publication date: 1-Jan-2010
https://dl.acm.org/doi/10.1007/s11263-009-0222-4
García-Chamizo JFuster-Guilló AAzorín-López J(2007)Simulation of automated visual inspection systems for specular surfaces quality controlProceedings of the 2nd Pacific Rim conference on Advances in image and video technology10.5555/1782074.1782144(749-762)Online publication date: 17-Dec-2007
https://dl.acm.org/doi/10.5555/1782074.1782144
Goldlucke BIhrke ILinz CMagnor M(2007)Weighted Minimal Hypersurface ReconstructionIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2007.114629:7(1194-1208)Online publication date: 1-Jul-2007
https://dl.acm.org/doi/10.1109/TPAMI.2007.1146
Show More Cited By

Retrieving Shape Information from Multiple Images of a Specular Surface
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
  2. Computer graphics

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cover image IEEE Transactions on Pattern Analysis and Machine Intelligence

IEEE Transactions on Pattern Analysis and Machine Intelligence Volume 16, Issue 2

February 1994

116 pages

ISSN:0162-8828

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Copyright © Copyright © 1994 IEEE. All Rights Reserved.

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IEEE Computer Society

United States

Publication History

Published: 01 February 1994

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Cited By

Yoon KPrados ESturm P(2010)Joint Estimation of Shape and Reflectance using Multiple Images with Known Illumination ConditionsInternational Journal of Computer Vision10.1007/s11263-009-0222-486:2-3(192-210)Online publication date: 1-Jan-2010
https://dl.acm.org/doi/10.1007/s11263-009-0222-4
García-Chamizo JFuster-Guilló AAzorín-López J(2007)Simulation of automated visual inspection systems for specular surfaces quality controlProceedings of the 2nd Pacific Rim conference on Advances in image and video technology10.5555/1782074.1782144(749-762)Online publication date: 17-Dec-2007
https://dl.acm.org/doi/10.5555/1782074.1782144
Goldlucke BIhrke ILinz CMagnor M(2007)Weighted Minimal Hypersurface ReconstructionIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2007.114629:7(1194-1208)Online publication date: 1-Jul-2007
https://dl.acm.org/doi/10.1109/TPAMI.2007.1146
Swaminathan RKang SSzeliski RCriminisi ANayar S(2002)On the Motion and Appearance of Specularities in Image SequencesProceedings of the 7th European Conference on Computer Vision-Part I10.5555/645315.649179(508-523)Online publication date: 28-May-2002
https://dl.acm.org/doi/10.5555/645315.649179
Zheng JFukagawa YAbe N(1997)3D Surface Estimation and Model Construction From Specular Motion in Image SequencesIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/34.58921219:5(513-520)Online publication date: 1-May-1997
https://dl.acm.org/doi/10.1109/34.589212
Oren MNayar S(1997)A Theory of Specular Surface GeometryInternational Journal of Computer Vision10.1023/A:100795471993924:2(105-124)Online publication date: 1-Sep-1997
https://dl.acm.org/doi/10.1023/A%3A1007954719939

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