【作者】 张文松； 何广平； 谭晓兰； 张忠海； 姜金岭；

【Author】 ZHANG Wen-song;HE Guang-ping;TAN Xiao-lan;ZHANG Zhong-hai;JIANG Jin-ling;School of Mechanical and Material Engineering,North China University of Technology;Beijing Aerospace Measurement and Control Technology Co.,Ltd.;

【机构】 北方工业大学机械与材料工程学院； 北京航天测控技术有限公司；

【摘要】 近景摄影测量为了建立像片之间的匹配关系,需要在待测工件表面上放置编码标志,以提供同名点辅助相对定向。如何提高编码标志的解码准确率为摄影测量重点研究问题。对Schneider环状编码标志进行了研究,并设计了一套完整的解码算法。针对由于标志外圈黑白环带分界处膨胀或缩小导致解得的码值不准确问题,提出了一种三数组码值提取法,该方法利用3个独立数组分别采集标志外环信息并进行解码,最后将各自所得码值进行整合处理,得到最终码值。经过实验证明,该算法具有较高的解码准确率,可以应用于实际工业摄影测量中。更多还原

【Abstract】 In close range photogrammetry,in order to establish the matching relationship between the photos,it is necessary to place coding marks on the surface of the workpiece to be measured to provide the same name points to assist the relative orientation.How to improve the decoding accuracy of coding marks is a key problem in photogrammetry.The Schneider ring coding symbol is studied and a complete decoding algorithm is designed.In order to solve the problem of inaccurate code value caused by the expansion or reduction of the boundary between the black and white band on the outer ring of the logo,a three array code value extraction method is proposed.In this method,three independent arrays are used to collect the information of the outer ring of the logo and decode it.Finally,the code values are integrated to get the final code value.The experimental results show that the algorithm has higher decoding accuracy,and can be applied to the actual industrial photogrammetry.更多还原