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点阵列标定模板图像特征点提取方法
引用本文:马少平,田爱玲,刘丙才,王红军.点阵列标定模板图像特征点提取方法[J].应用光学,2010,31(6):950-955.
作者姓名:马少平  田爱玲  刘丙才  王红军
作者单位:西安工业大学陕西省薄膜技术与光学检测重点实验室,陕西西安710032
摘    要:在摄像机标定过程中,提取标定模板图像特征点的精度是影响摄像机内外参数标定精度的重要因素。本文根据条纹投影三维轮廓测量实验系统的要求制作了点阵列标定模板,在图像处理边缘理论的基础上,以圆的解析特性为依据,采用坐标转换思想,引进圆系描述点、圆对应关系,运用统计学理论,提出提取点阵列标定模板图像特征点的新方法,并通过实验验证了该方法的正确性和可行性。为下一步的摄像机内外参数求解做了铺垫。

关 键 词:三维轮廓测量  摄像机标定  标定阵列  圆识别

Feature point extraction of spot array calibration target
MA Shao-ping,TIAN Ai-ling,LIU Bing-cai,WANG Hong-jun.Feature point extraction of spot array calibration target[J].Journal of Applied Optics,2010,31(6):950-955.
Authors:MA Shao-ping  TIAN Ai-ling  LIU Bing-cai  WANG Hong-jun
Institution:Shaanxi Province Thin Film Technology and Optical Test Open Key Laboratory,
Xi’an Technological University, Xi’an 710032, China
Abstract:The feature point extraction of calibration target during the camera calibration is crucial and may affect the precision of camera internal and external parameters. Based on several typical camera calibration targets, a spot array target is designed as required by the fringe projection 3D profile measurement system. According to the image edge processing theory, a new method for feature point extraction of the spot array target is introduced, which includes the analytical characteristic theory of circle, the coordinate transformation, the corresponding relation of spot and circle, and statistical theory. The validity of this method is verified by experiment. This work can be used to solve camera internal and external parameters.
Keywords:3D profile measurement  camera calibration  calibration target  circle detection
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