Real-time 3D measurement based on structured light illumination considering camera lens distortion

Shijie Feng; Qian Chen; Chao Zuo; Jiasong Sun; ShiLing Yu

doi:10.1117/12.2070803

3 December 2014 Real-time 3D measurement based on structured light illumination considering camera lens distortion

Shijie Feng, Qian Chen, Chao Zuo, Jiasong Sun, ShiLing Yu

Proceedings Volume 9297, International Symposium on Optoelectronic Technology and Application 2014: Laser and Optical Measurement Technology; and Fiber Optic Sensors; 92970J (2014) https://doi.org/10.1117/12.2070803
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

Abstract

Optical three-dimensional (3-D) profilometry is gaining increasing attention for its simplicity, flexibility, high accuracy, and non-contact nature. Recent advances in imaging sensors and digital projection technology further its progress in high-speed, real-time applications, enabling 3-D shapes reconstruction of moving objects and dynamic scenes. In traditional 3-D measurement system where the processing time is not a key factor, camera lens distortion correction is performed directly. However, for the time-critical high-speed applications, the time-consuming correction algorithm is inappropriate to be performed directly during the real-time process. To cope with this issue, here we present a novel high-speed real-time 3-D coordinates measuring technique based on fringe projection with the consideration of the camera lens distortion. A pixel mapping relation between a distorted image and a corrected one is pre-determined and stored in computer memory for real-time fringe correction. And a method of lookup table (LUT) is introduced as well for fast data processing. Our experimental results reveal that the measurement error of the in-plane coordinates has been reduced by one order of magnitude and the accuracy of the out-plane coordinate been tripled after the distortions being eliminated. Moreover, owing to the merit of the LUT, the 3-D reconstruction can be achieved at 92.34 frames per second.

Citation Download Citation

Shijie Feng, Qian Chen, Chao Zuo, Jiasong Sun, and ShiLing Yu "Real-time 3D measurement based on structured light illumination considering camera lens distortion", Proc. SPIE 9297, International Symposium on Optoelectronic Technology and Application 2014: Laser and Optical Measurement Technology; and Fiber Optic Sensors, 92970J (3 December 2014); https://doi.org/10.1117/12.2070803

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KEYWORDS

Distortion

3D metrology

Cameras

Calibration

Imaging systems

3D image processing

Distance measurement

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