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Specularity and shadow detection for the multisource photometric reconstruction of a textured surface |
JOSA A, Vol. 29, Issue 1, pp. 11-21 (2012)
http://dx.doi.org/10.1364/JOSAA.29.000011
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Abstract
Textured surface analysis is essential for many applications. In this paper, we present a three-dimensional (3D) recovery approach for real textured surfaces based on photometric stereo. The aim is to be able to reconstruct the textured surfaces in 3D with a high degree of accuracy. For this, the proposed method uses a sequence of six images and a Lambertian bidirectional reflectance distribution function (BRDF) to recover the surface height map. A hierarchical selection of these images is employed to eliminate the effects of shadows and highlights for all surface facets. To evaluate the performances of our method, we compare it to other traditional photometric stereo methods on real textured surfaces using six or more images.
© 2012 Optical Society of America
OCIS Codes
(100.2000) Image processing : Digital image processing
(110.6880) Imaging systems : Three-dimensional image acquisition
(120.5240) Instrumentation, measurement, and metrology : Photometry
(120.6660) Instrumentation, measurement, and metrology : Surface measurements, roughness
ToC Category:
Image Processing
History
Original Manuscript: July 7, 2011
Revised Manuscript: September 30, 2011
Manuscript Accepted: October 20, 2011
Published: December 2, 2011
Citation
Benjamin Bringier, Alexandre Bony, and Majdi Khoudeir, "Specularity and shadow detection for the multisource photometric reconstruction of a textured surface," J. Opt. Soc. Am. A 29, 11-21 (2012)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-29-1-11
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