OSA's Digital Library

Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics


  • Editors: Andrew Dunn and Anthony Durkin
  • Vol. 6, Iss. 7 — Jul. 27, 2011

Accurate estimation of the boundaries of a structured light pattern

Sukhan Lee and Lam Quang Bui  »View Author Affiliations

JOSA A, Vol. 28, Issue 6, pp. 954-961 (2011)

View Full Text Article

Enhanced HTML    Acrobat PDF (1335 KB)

Browse Journals / Lookup Meetings

Browse by Journal and Year


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools



Depth recovery based on structured light using stripe patterns, especially for a region-based codec, demands accurate estimation of the true boundary of a light pattern captured on a camera image. This is because the accuracy of the estimated boundary has a direct impact on the accuracy of the depth recovery. However, recovering the true boundary of a light pattern is considered difficult due to the deformation incurred primarily by the texture- induced variation of the light reflectance at surface locales. Especially for heavily textured surfaces, the deformation of pattern boundaries becomes rather severe. We present here a novel (to the best of our knowledge) method to estimate the true boundaries of a light pattern that are severely deformed due to the heavy textures involved. First, a general formula that models the deformation of the projected light pattern at the imaging end is presented, taking into account not only the light reflectance variation but also the blurring along the optical passages. The local reflectance indices are then estimated by applying the model to two specially chosen reference projections, all-bright and all-dark. The estimated reflectance indices are to transform the edge-deformed, captured pattern signal into the edge-corrected, canonical pattern signal. A canonical pattern implies the virtual pattern that would have resulted if there were neither the reflectance variation nor the blurring in imaging optics. Finally, we estimate the boundaries of a light pattern by intersecting the canonical form of a light pattern with that of its inverse pattern. The experimental results show that the proposed method results in significant improvements in the accuracy of the estimated boundaries under various adverse conditions.

© 2011 Optical Society of America

OCIS Codes
(100.0100) Image processing : Image processing
(110.0110) Imaging systems : Imaging systems
(110.6880) Imaging systems : Three-dimensional image acquisition
(150.0150) Machine vision : Machine vision
(330.0330) Vision, color, and visual optics : Vision, color, and visual optics

ToC Category:
Imaging Systems

Original Manuscript: October 27, 2010
Revised Manuscript: March 9, 2011
Manuscript Accepted: March 16, 2011
Published: May 5, 2011

Virtual Issues
Vol. 6, Iss. 7 Virtual Journal for Biomedical Optics

Sukhan Lee and Lam Quang Bui, "Accurate estimation of the boundaries of a structured light pattern," J. Opt. Soc. Am. A 28, 954-961 (2011)

Sort:  Author  |  Year  |  Journal  |  Reset  


  1. J. Salvi, S. Fernandez, T. Pribanic, and X. Llado, “A state of the art in structured light patterns for surface profilometry,” Patt. Recogn. 43, 2666-2680 (2010). [CrossRef]
  2. M. Trobina, “Error model of a coded-light range sensor,” Technical report BIWI-TR-164 (Communication Technology Laboratory, 1995).
  3. R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision (Cambridge University Press, 2004). [CrossRef]
  4. W. H. Richardson, “Bayesian-based iterative method of image restoration,” J. Opt. Soc. Am. A 62, 55-59 (1972). [CrossRef]
  5. L. B. Lucy, “An iterative technique for the rectification of observed distributions,” Astron. J. 79, 745-754 (1974). [CrossRef]
  6. L. Sukhan, C. Jongmoo, K. Daesik, J. Byungchan, N. Jaekeun, and K. Hoonmo, “An active 3D robot camera for home environment,” in Proceedings of IEEE Sensors (IEEE, 2004), Vol. 1, pp. 477-480. [CrossRef]

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.

Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited