{"title":"飞行时间(ToF)相机的干扰抑制技术","authors":"Amirul Islam, M. A. Hossain, Y. Jang","doi":"10.1109/ICUFN.2016.7537001","DOIUrl":null,"url":null,"abstract":"Time-of-Flight (ToF) camera has become an attractive source of applications in location-based services, autonomous navigation, object localization for robotic manipulation, ego-motion estimation, etc. Besides, these services demand centimeter level accuracy to provide the required services. Though ToF cameras can provide high accuracy in location-based services with high frame rates (approx. 30 fps), they are facing some problems like multipath interference (MPI), internal scattering, motion blur, etc. The interferences inherent to ToF camera can influence the measurements by several centimeters. In this paper, we formulate a model to mitigate MPI and light scattering problems through a combination of scale-invariant feature transform (SIFT) and iterative closest point (ICP). We use SIFT algorithm for image features extraction and ICP for error correction during estimation. Finally, we present simulation results to prove the scalability and flexibility of our proposed algorithm for both MPI and light scattering mitigation.","PeriodicalId":403815,"journal":{"name":"2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Interference mitigation technique for Time-of-Flight (ToF) camera\",\"authors\":\"Amirul Islam, M. A. Hossain, Y. Jang\",\"doi\":\"10.1109/ICUFN.2016.7537001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Time-of-Flight (ToF) camera has become an attractive source of applications in location-based services, autonomous navigation, object localization for robotic manipulation, ego-motion estimation, etc. Besides, these services demand centimeter level accuracy to provide the required services. Though ToF cameras can provide high accuracy in location-based services with high frame rates (approx. 30 fps), they are facing some problems like multipath interference (MPI), internal scattering, motion blur, etc. The interferences inherent to ToF camera can influence the measurements by several centimeters. In this paper, we formulate a model to mitigate MPI and light scattering problems through a combination of scale-invariant feature transform (SIFT) and iterative closest point (ICP). We use SIFT algorithm for image features extraction and ICP for error correction during estimation. Finally, we present simulation results to prove the scalability and flexibility of our proposed algorithm for both MPI and light scattering mitigation.\",\"PeriodicalId\":403815,\"journal\":{\"name\":\"2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICUFN.2016.7537001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUFN.2016.7537001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Interference mitigation technique for Time-of-Flight (ToF) camera
Time-of-Flight (ToF) camera has become an attractive source of applications in location-based services, autonomous navigation, object localization for robotic manipulation, ego-motion estimation, etc. Besides, these services demand centimeter level accuracy to provide the required services. Though ToF cameras can provide high accuracy in location-based services with high frame rates (approx. 30 fps), they are facing some problems like multipath interference (MPI), internal scattering, motion blur, etc. The interferences inherent to ToF camera can influence the measurements by several centimeters. In this paper, we formulate a model to mitigate MPI and light scattering problems through a combination of scale-invariant feature transform (SIFT) and iterative closest point (ICP). We use SIFT algorithm for image features extraction and ICP for error correction during estimation. Finally, we present simulation results to prove the scalability and flexibility of our proposed algorithm for both MPI and light scattering mitigation.