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Journal of Sensors
Volume 2014, Article ID 852621, 8 pages
Research Article

Depth Measurement Based on Infrared Coded Structured Light

College of Information Science & Engineering, Northeastern University, Shenyang 110819, China

Received 21 April 2014; Revised 23 September 2014; Accepted 25 September 2014; Published 19 October 2014

Academic Editor: Hai Xiao

Copyright © 2014 Tong Jia et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Depth measurement is a challenging problem in computer vision research. In this study, we first design a new grid pattern and develop a sequence coding and decoding algorithm to process the pattern. Second, we propose a linear fitting algorithm to derive the linear relationship between the object depth and pixel shift. Third, we obtain depth information on an object based on this linear relationship. Moreover, 3D reconstruction is implemented based on Delaunay triangulation algorithm. Finally, we utilize the regularity of the error curves to correct the system errors and improve the measurement accuracy. The experimental results show that the accuracy of depth measurement is related to the step length of moving object.