采用POSIT算法的中餐宴会台面的测距方法  

Range finding method for Chinese banquet tableware distance easured with POSIT algorithm

作　　者：王粟[1] 朱飞[1] WANG Su;ZHU Fei(School of Electrical and Electronic Engineering,Hubei University of Technology,Wuhan 430068,China)

机构地区：[1]湖北工业大学电气与电子工程学院

出　　处：《现代电子技术》2019年第19期139-143,148,共6页Modern Electronics Technique

基　　金：国家自然科学基金资助项目(61473116);湖北省自然科学基金资助项目(2016CFB512);湖北工业大学太阳能高效利用湖北省协同创新基金资助项目(HBSKFMS2014002)~~

摘　　要：针对中餐宴会台面人工测量餐具间距离出现的问题,将图像处理和人工智能技术引入台面摆台效果评判中,提出一种POSIT算法求解中餐宴会台面上餐具间距离的方法。首先,利用Hough圆检测算法识别出中餐宴会台面摆台上的餐碟、汤碟、味碟、水杯、葡萄酒杯和白酒杯上的圆,通过K-means聚类算法对中餐宴会客人人数和餐桌中心花瓶进行聚类;其次,在设计的黑白标定板中选取4个共面点,利用共面POSIT算法估算相机在目标坐标系下的旋转矩阵和平移向量,根据摄像机模型得出聚类标号为10上各餐具间的实际距离。实验结果表明,与人工测量相比,该方法测量精度高、稳定性良好。The image processing and artificial intelligence technology are introduced into the evaluation of the table top effect to solve the problem of artificially measuring the distance between table wares in the Chinese banquet table. A method of solving the distance between the table wares on the Chinese banquet table is proposed. The Hough circle detection algorithm is used to identify the circle on the plate,soup plate,saucer,water cup,wine glass and white wine glass on the table of the Chinese banquet table. The number of Chinese banquet guests and the table center vase are clustered by the K-means clustering algorithm. Four coplanar points are selected in the designed black-white calibration plate. The coplanar POSIT algorithm is used to estimate the rotation matrix and translation vector of the camera in the target coordinate system. The actual interval distance of table wares on the clustering label 10 is obtained according to the camera model. The experimental results show that,in comparison with manual measurement,the method has higher measurement accuracy and better stability.

关 键 词：测距方法 餐具间距求解 POSIT算法 图像处理 HOUGH变换 K-MEANS聚类 

分 类 号：TN98-34[电子电信—信息与通信工程]