Image bias correction in structured light sensor

Qingying Hu; Kevin G. Harding; Donald Hamilton

doi:10.1117/12.571683

16 December 2004 Image bias correction in structured light sensor

Qingying Hu, Kevin G. Harding, Donald Hamilton

Proceedings Volume 5606, Two- and Three-Dimensional Vision Systems for Inspection, Control, and Metrology II; (2004) https://doi.org/10.1117/12.571683
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States

Abstract

Structured light techniques have been used in a lot of applications. As a two-dimensional optical measurement method, structured light sensors are faster than one-dimensional point triangulation sensor while easier to calibrate and move than full-field three-dimensional sensors. The accuracy of structured light sensors mainly depends on the accuracy of both calibration and beam center extraction. In some applications with complicated surface shapes, the extracted center may not be the actual “true” center, which results in image bias. This paper presents a method to compensate the image bias and improve the measurement accuracy of structured light sensors. The basic concepts of image bias correction are given and some initial results are provided.

Citation Download Citation

Qingying Hu, Kevin G. Harding, and Donald Hamilton "Image bias correction in structured light sensor", Proc. SPIE 5606, Two- and Three-Dimensional Vision Systems for Inspection, Control, and Metrology II, (16 December 2004); https://doi.org/10.1117/12.571683

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