• Opto-Electronic Engineering
  • Vol. 41, Issue 3, 35 (2014)
ZHANG Xiong*, SONG Le, ZHANG Shanshan, and FANG Fengzhou
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1003-501x.2014.03.006 Cite this Article
    ZHANG Xiong, SONG Le, ZHANG Shanshan, FANG Fengzhou. The Method for the Calibration and Measurement of Bionic Compound-eye System[J]. Opto-Electronic Engineering, 2014, 41(3): 35 Copy Citation Text show less

    Abstract

    In order to realize close-range measurement, a miniaturized bionic compound-eye system was developed and the design principles of the system structure and parameters were introduced. Besides, the calibration and three-dimensional measurement algorithms were investigated. First, the platform for calibration and measurement was built based on imaging characteristics of the compound-eye. Three kinds of camera calibration methods, including Zhang’s method, the direct linear transformation method and Tsai two-step method, were carried out to calibrate the central sub-eye. By comparing the experimental results, it was determined that Tsai two-step method with high precision and accuracy was suitable for the calibration of the compound-eye system presented. Then, to solve the problem that the edge sub-vision axis was not perpendicular to the image sensor, a new distortion model that effectively improved the edge sub-eye calibration accuracy was proposed. Finally, a multiple sub-eye detection model was established, and its impact on the compound-eye camera measurement accuracy were discussed, from which it was determined that three sub-eye condition had better accuracy and stability than the two-eye. Experimental results indicate that the relative error of the compound eye three-dimensional detection system is about 2% when the object distance ranges from 150~260 mm, and this system could achieve the instrument miniaturization and basic close-range measurement.
    ZHANG Xiong, SONG Le, ZHANG Shanshan, FANG Fengzhou. The Method for the Calibration and Measurement of Bionic Compound-eye System[J]. Opto-Electronic Engineering, 2014, 41(3): 35
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