Paper
13 October 2008 A global calibration method for multi-sensor vision system
Zhen Liu, Guangjun Zhang, Zhenzhong Wei
Author Affiliations +
Abstract
A global calibration method of multi-sensor vision system based on flexible 3d target is proposed to solve the calibration problem of multi-sensor vision system with a large inspection range. The flexible 3d target is a form of target consisted of several planar targets, called sub-targets, which are placed flexibly according to the sensors' positions. The coordinate frame of one of the vision sensor is selected as the global coordinate frame. Using the invariance of the relative positions between sub-targets in the flexible 3d target, the closed solution of the transformation from the local coordinate frame of each sensor to the global coordinate frame can be computed. The result is refined by the nonlinear optimization method, and maximum likelihood estimation of the translation matrixes can be achieved. Experimental result demonstrates high accuracy of proposed calibration method. The proposed method greatly simplifies the process and reduces the cost of global calibration, for it does not need high-accuracy 3d measuring equipment or special 3d target as most the traditional global calibration methods do, and only needs to combine several planar targets to carry out the global calibration. It is applicable for the global calibration of multi-sensor vision system at working location.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhen Liu, Guangjun Zhang, and Zhenzhong Wei "A global calibration method for multi-sensor vision system", Proc. SPIE 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment, 71280U (13 October 2008); https://doi.org/10.1117/12.806613
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KEYWORDS
Calibration

Sensors

3D acquisition

Cameras

3D vision

Image sensors

Platinum

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