{"title":"基于单个kinect的快速自动身体圆周测量","authors":"Nguyen-Luc Dao, T. Deng, Jianfei Cai","doi":"10.1109/APSIPA.2014.7041571","DOIUrl":null,"url":null,"abstract":"The development of commodity depth camera such as Kinect has paved the way for low-cost human body measurement. The existing Kinect-based body measurement methods are too time-consuming since their purposes also include 3D reconstruction. In this paper, we present a Kinect-based simple but fast and effective solution that is tailored only for human body measurement. In particular, our method captures four views of a subject body and constructs a 3D point cloud for each view. The point clouds are then registered and merged to have a full body cloud on which the body measurements are estimated automatically. The experimental results show that our method requires much shorter execution time than the previous works while still producing measurements with comparable quality.","PeriodicalId":231382,"journal":{"name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Fast and automatic body circular measurement based on a single kinect\",\"authors\":\"Nguyen-Luc Dao, T. Deng, Jianfei Cai\",\"doi\":\"10.1109/APSIPA.2014.7041571\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The development of commodity depth camera such as Kinect has paved the way for low-cost human body measurement. The existing Kinect-based body measurement methods are too time-consuming since their purposes also include 3D reconstruction. In this paper, we present a Kinect-based simple but fast and effective solution that is tailored only for human body measurement. In particular, our method captures four views of a subject body and constructs a 3D point cloud for each view. The point clouds are then registered and merged to have a full body cloud on which the body measurements are estimated automatically. The experimental results show that our method requires much shorter execution time than the previous works while still producing measurements with comparable quality.\",\"PeriodicalId\":231382,\"journal\":{\"name\":\"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APSIPA.2014.7041571\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSIPA.2014.7041571","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fast and automatic body circular measurement based on a single kinect
The development of commodity depth camera such as Kinect has paved the way for low-cost human body measurement. The existing Kinect-based body measurement methods are too time-consuming since their purposes also include 3D reconstruction. In this paper, we present a Kinect-based simple but fast and effective solution that is tailored only for human body measurement. In particular, our method captures four views of a subject body and constructs a 3D point cloud for each view. The point clouds are then registered and merged to have a full body cloud on which the body measurements are estimated automatically. The experimental results show that our method requires much shorter execution time than the previous works while still producing measurements with comparable quality.