{"title":"基于二维面板的断裂物体修复装配导航操作研究","authors":"Chunyuan Li, Katsutsugu Matsuyama, K. Konno","doi":"10.1109/NICOINT.2017.22","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an assembly navigation operation using a 2-D panel that takes into account flow patterns and outline information. The aim is to realize an efficient search for adjacent fragments using a fracture restoration interface. In this method, a point cloud representing the surface of the earthenware fragments is measured first by a 3-D measurement device. Then, the obtained data is analyzed to detect the feature points of outlines. The feature points are set to the end points of an outline and the outline is divided to obtain division lines. In addition, a flow pattern is extracted from the measured points and is approximated by straight lines. Finally, the point cloud data, extracted pattern flow, and outline information are input to the interface. Using the input dataset, a navigation function is employed to find adjacent candidates for the fragments. We implemented this system and examined its operation and usefulness.","PeriodicalId":333647,"journal":{"name":"2017 Nicograph International (NicoInt)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Study of Assembly Navigation Operation with 2-D Panel for Restoring Fractured Objects\",\"authors\":\"Chunyuan Li, Katsutsugu Matsuyama, K. Konno\",\"doi\":\"10.1109/NICOINT.2017.22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose an assembly navigation operation using a 2-D panel that takes into account flow patterns and outline information. The aim is to realize an efficient search for adjacent fragments using a fracture restoration interface. In this method, a point cloud representing the surface of the earthenware fragments is measured first by a 3-D measurement device. Then, the obtained data is analyzed to detect the feature points of outlines. The feature points are set to the end points of an outline and the outline is divided to obtain division lines. In addition, a flow pattern is extracted from the measured points and is approximated by straight lines. Finally, the point cloud data, extracted pattern flow, and outline information are input to the interface. Using the input dataset, a navigation function is employed to find adjacent candidates for the fragments. We implemented this system and examined its operation and usefulness.\",\"PeriodicalId\":333647,\"journal\":{\"name\":\"2017 Nicograph International (NicoInt)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Nicograph International (NicoInt)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NICOINT.2017.22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Nicograph International (NicoInt)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NICOINT.2017.22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Study of Assembly Navigation Operation with 2-D Panel for Restoring Fractured Objects
In this paper, we propose an assembly navigation operation using a 2-D panel that takes into account flow patterns and outline information. The aim is to realize an efficient search for adjacent fragments using a fracture restoration interface. In this method, a point cloud representing the surface of the earthenware fragments is measured first by a 3-D measurement device. Then, the obtained data is analyzed to detect the feature points of outlines. The feature points are set to the end points of an outline and the outline is divided to obtain division lines. In addition, a flow pattern is extracted from the measured points and is approximated by straight lines. Finally, the point cloud data, extracted pattern flow, and outline information are input to the interface. Using the input dataset, a navigation function is employed to find adjacent candidates for the fragments. We implemented this system and examined its operation and usefulness.