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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 50, Iss. 10 — Apr. 1, 2011
  • pp: 1289–1301

Stereo depth estimation under different camera calibration and alignment errors

Xiaofeng Ding, Lizhong Xu, Huibin Wang, Xin Wang, and Guofang Lv  »View Author Affiliations

Applied Optics, Vol. 50, Issue 10, pp. 1289-1301 (2011)

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Depth estimation is a fundamental issue in computational stereo. To obtain accurate stereo depth estimation, all mechanical parameters with a high precision need to be measured in order to achieve subpixel accuracy and to match features between two different images. This paper investigates accurate depth estimation with different mechanical parameter errors, such as camera calibration and alignment errors, which mainly result from camera lens distortion, camera translation, rotation, pitch, and yaw. For each source of the errors, a model for the error description is presented, and the accurate depth estimation due to this error is quantitatively analyzed. Depth estimation algorithms under an individual error, and with all the errors, are given. Experimental results show that the proposed models can rectify the errors and calculate the accurate depths effectively.

© 2011 Optical Society of America

OCIS Codes
(080.2720) Geometric optics : Mathematical methods (general)
(100.2960) Image processing : Image analysis
(330.1400) Vision, color, and visual optics : Vision - binocular and stereopsis
(150.1488) Machine vision : Calibration

ToC Category:
Machine Vision

Original Manuscript: September 16, 2010
Revised Manuscript: January 17, 2011
Manuscript Accepted: January 17, 2011
Published: March 23, 2011

Virtual Issues
Vol. 6, Iss. 5 Virtual Journal for Biomedical Optics

Xiaofeng Ding, Lizhong Xu, Huibin Wang, Xin Wang, and Guofang Lv, "Stereo depth estimation under different camera calibration and alignment errors," Appl. Opt. 50, 1289-1301 (2011)

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