北京交通大学学报2013，Vol.37Issue(2)：22-26,5.
基于灰度直方图的加权模板匹配法在摄像机标定中的应用
Weighted template matching method using gray scale histogram for camera calibration
摘要
Abstract
This paper employs the weighted template matching method based on the histogram for camera calibration. Firstly, a vernier caliper is used as an subject to capture the image. Then the image is used to extract numbers of templates,and each template is used to extract ROI based on template matching method. After the matching results are transferred into binary image and rotated 90 degrees to get the histogram; the histogram is optimized and used to get the measure accuracy. Finally, the weighted average of these measure accuracy is obtained as the final result. Comparing with the true value, the final results show that the weighted template matching method is efficient for camera calibration and it's easy to implement.关键词
摄像机标定/模板匹配/加权平均/灰度直方图Key words
camera calibration/ template match/ weighted average/ histogram分类
信息技术与安全科学引用本文复制引用
李小利,阮秋琦,阮成雄..基于灰度直方图的加权模板匹配法在摄像机标定中的应用[J].北京交通大学学报,2013,37(2):22-26,5.基金项目
国家自然科学基金资助项目(60973060) （60973060）
高等学校博士学科点专项科研基金项目资助(200800040008) （200800040008）
北京交通大学优秀博士研究生创新研究基金资助项目(KKJB12029536) （KKJB12029536）
