{"title":"基于Kinect传感设备的多视角三维配准的手持式3D扫描","authors":"Shirazi Muhammad Ayaz, Danish Khan, M. Y. Kim","doi":"10.1109/MFI.2017.8170450","DOIUrl":null,"url":null,"abstract":"This paper describes the implementation of a 3D handheld scanning approach based on Kinect. User may get the 3D scans at a very fast rate using real time scanning devices like Kinect. These devices have been utilized in several applications, but the scanning lacks in the accuracy and reliability of the 3D data, which makes their employment a difficult task. This research proposed the 3D handheld scanning approach based on Kinect device which renders the 3D point cloud data for different views and registers them using visual navigation and ICP. This research also compares several ICP variants with the proposed method. The proposed approach can be used for the 3D modeling applications especially in medical domain. Experiments and results demonstrate the feasibility of the proposed approach to generate reliable 3D reconstructions from the Kinect's point clouds.","PeriodicalId":402371,"journal":{"name":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"3D handheld scanning based on multiview 3D registration using Kinect Sensing device\",\"authors\":\"Shirazi Muhammad Ayaz, Danish Khan, M. Y. Kim\",\"doi\":\"10.1109/MFI.2017.8170450\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the implementation of a 3D handheld scanning approach based on Kinect. User may get the 3D scans at a very fast rate using real time scanning devices like Kinect. These devices have been utilized in several applications, but the scanning lacks in the accuracy and reliability of the 3D data, which makes their employment a difficult task. This research proposed the 3D handheld scanning approach based on Kinect device which renders the 3D point cloud data for different views and registers them using visual navigation and ICP. This research also compares several ICP variants with the proposed method. The proposed approach can be used for the 3D modeling applications especially in medical domain. Experiments and results demonstrate the feasibility of the proposed approach to generate reliable 3D reconstructions from the Kinect's point clouds.\",\"PeriodicalId\":402371,\"journal\":{\"name\":\"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MFI.2017.8170450\",\"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 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MFI.2017.8170450","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
3D handheld scanning based on multiview 3D registration using Kinect Sensing device
This paper describes the implementation of a 3D handheld scanning approach based on Kinect. User may get the 3D scans at a very fast rate using real time scanning devices like Kinect. These devices have been utilized in several applications, but the scanning lacks in the accuracy and reliability of the 3D data, which makes their employment a difficult task. This research proposed the 3D handheld scanning approach based on Kinect device which renders the 3D point cloud data for different views and registers them using visual navigation and ICP. This research also compares several ICP variants with the proposed method. The proposed approach can be used for the 3D modeling applications especially in medical domain. Experiments and results demonstrate the feasibility of the proposed approach to generate reliable 3D reconstructions from the Kinect's point clouds.