Multi-view recognition of fruit packing boxes based on features clustering angle

作     者：Li Xinning Wu Hu Yang Xianhai 李鑫宁;Wu Hu;Yang Xianhai

作者机构：School of Mechanical EngineeringShandong Universily of TechnologyZibo 255000P.R.China 

出 版 物：《High Technology Letters》 (高技术通讯（英文版）)

年 卷 期：2021年第27卷第2期

页      面：200-209页

核心收录：

学科分类：120301[管理学-农业经济管理] 12[管理学] 1203[管理学-农林经济管理] 08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：Supported by the National Natural Science Foundation of China(No.52075306) 

主　　题：boxes recognition kernel principal component analysis(KPCA) binary hashing and clustering multi-view clustering(MVC) 

摘      要：In order to realize the intelligent mechanization of the last process of the fruit industry chains,the identification of fruit packing boxes is researched.A multi-view database is established to describe the omnidirectional attitudes of the fruit packing *** order to reduce the data redundancy caused by multi-view acquisition,a new binary multi-view kernel principal component analysis network(BMKPCANet) is built,and a multi-view recognition method of fruit packing boxes is proposed based on the BMKPCANet and support vector machine(SVM).The experimental results show that the recognition accuracy of proposed BMKPCANet is 12.82% higher than PCANet and3.51% higher than KPCANet on *** time consumption of proposed BMKPCANet is 7.74%lower than PCANet and 29.01% lower than KPCANet on *** work has laid a theoretical foundation for multi-view recognition of 3 D objects and has a good practical application value.