Y. Li, Jian Zhang, Kun Wang, Feng Han, Xiaohua Feng, Haowei Zhang, X. Shao, Chunjiang Pang
{"title":"电力设备虚拟装配系统的多目标选择方法","authors":"Y. Li, Jian Zhang, Kun Wang, Feng Han, Xiaohua Feng, Haowei Zhang, X. Shao, Chunjiang Pang","doi":"10.1109/ICSP54964.2022.9778566","DOIUrl":null,"url":null,"abstract":"With the continuous development of virtual assembly technology, virtual assembly system has been widely used in military, medicine, agriculture, industrial production, manufacturing and other fields. In order to improve the operability of power equipment virtual assembly system, a highly applicable multi-target object selection method is essential. Because the power equipment has close assembly relationship, there is widespread occlusion between components. However, the existing object selection methods can’t solve the multi-target object selection problem in the case of complete occlusion. Therefore, this paper proposes a multi-target object selection method based on volume region. This method is divided into a fully inclusive selection method and a partially intersecting selection method. The spatial position and size range of the cuboid selection area of the two methods are adjusted by the oculus rift's touch handle. The fully inclusive selection method is to determine whether all eight vertices of the target’s cuboid bounding box are within the selection area. If so, the target is determined to be selected. The partially intersecting selection method is to determine whether there are one or more vertices of the eight vertices in the selection area. If so, the target is determined to be selected. The experimental results show that the proposed method has high applicability in the case of semi occlusion, full occlusion and multi-target, which greatly improves the training and teaching efficiency of power equipment virtual assembly system.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Multi-Target Selection Method for Power Equipment Virtual Assembly System\",\"authors\":\"Y. Li, Jian Zhang, Kun Wang, Feng Han, Xiaohua Feng, Haowei Zhang, X. Shao, Chunjiang Pang\",\"doi\":\"10.1109/ICSP54964.2022.9778566\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the continuous development of virtual assembly technology, virtual assembly system has been widely used in military, medicine, agriculture, industrial production, manufacturing and other fields. In order to improve the operability of power equipment virtual assembly system, a highly applicable multi-target object selection method is essential. Because the power equipment has close assembly relationship, there is widespread occlusion between components. However, the existing object selection methods can’t solve the multi-target object selection problem in the case of complete occlusion. Therefore, this paper proposes a multi-target object selection method based on volume region. This method is divided into a fully inclusive selection method and a partially intersecting selection method. The spatial position and size range of the cuboid selection area of the two methods are adjusted by the oculus rift's touch handle. The fully inclusive selection method is to determine whether all eight vertices of the target’s cuboid bounding box are within the selection area. If so, the target is determined to be selected. The partially intersecting selection method is to determine whether there are one or more vertices of the eight vertices in the selection area. If so, the target is determined to be selected. The experimental results show that the proposed method has high applicability in the case of semi occlusion, full occlusion and multi-target, which greatly improves the training and teaching efficiency of power equipment virtual assembly system.\",\"PeriodicalId\":363766,\"journal\":{\"name\":\"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)\",\"volume\":\"101 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSP54964.2022.9778566\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSP54964.2022.9778566","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Multi-Target Selection Method for Power Equipment Virtual Assembly System
With the continuous development of virtual assembly technology, virtual assembly system has been widely used in military, medicine, agriculture, industrial production, manufacturing and other fields. In order to improve the operability of power equipment virtual assembly system, a highly applicable multi-target object selection method is essential. Because the power equipment has close assembly relationship, there is widespread occlusion between components. However, the existing object selection methods can’t solve the multi-target object selection problem in the case of complete occlusion. Therefore, this paper proposes a multi-target object selection method based on volume region. This method is divided into a fully inclusive selection method and a partially intersecting selection method. The spatial position and size range of the cuboid selection area of the two methods are adjusted by the oculus rift's touch handle. The fully inclusive selection method is to determine whether all eight vertices of the target’s cuboid bounding box are within the selection area. If so, the target is determined to be selected. The partially intersecting selection method is to determine whether there are one or more vertices of the eight vertices in the selection area. If so, the target is determined to be selected. The experimental results show that the proposed method has high applicability in the case of semi occlusion, full occlusion and multi-target, which greatly improves the training and teaching efficiency of power equipment virtual assembly system.