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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 52, Iss. 3 — Jan. 20, 2013
  • pp: 516–524

Depth estimation for speckle projection system using progressive reliable points growing matching

Guijin Wang, Xuanwu Yin, Xiaokang Pei, and Chenbo Shi  »View Author Affiliations


Applied Optics, Vol. 52, Issue 3, pp. 516-524 (2013)
http://dx.doi.org/10.1364/AO.52.000516


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Abstract

In this paper, we propose a progressive reliable points growing matching scheme to estimate the depth from the speckle projection image. First a self-adapting binarization is introduced to reduce the influence of inconsistent intensity. Then we apply local window-based correlation matching to get the initial disparity map. After the initialization, we formulate a progressive updating scheme to update the disparity estimation. There are two main steps in each round of updation. At first new reliable points are progressively selected based on three aspects of criterion including matching degree, confidence, and left–right consistency; then prediction-based growing matching is adopted to recalculate the disparity map from the reliable points. Finally, the more accurate depth map can be obtained by subpixel interpolation and transformation. The experimental results well demonstrate the effectiveness and low computational cost of our scheme.

© 2013 Optical Society of America

OCIS Codes
(150.6910) Machine vision : Three-dimensional sensing
(330.1400) Vision, color, and visual optics : Vision - binocular and stereopsis

ToC Category:
Vision, Color, and Visual Optics

History
Original Manuscript: July 31, 2012
Revised Manuscript: October 23, 2012
Manuscript Accepted: November 14, 2012
Published: January 18, 2013

Virtual Issues
Vol. 8, Iss. 2 Virtual Journal for Biomedical Optics

Citation
Guijin Wang, Xuanwu Yin, Xiaokang Pei, and Chenbo Shi, "Depth estimation for speckle projection system using progressive reliable points growing matching," Appl. Opt. 52, 516-524 (2013)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-52-3-516

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