{"title":"When Can a System of Subnetworks Be Registered Uniquely?","authors":"A. V. Singh, K. Chaudhury","doi":"10.1109/ICASSP.2019.8682680","DOIUrl":null,"url":null,"abstract":"Consider a network with N nodes in d dimensions, and M overlapping subsets P1, ⋯,PM (subnetworks). Assume that the nodes in a given Pi are observed in a local coordinate system. We wish to register the subnetworks using the knowledge of the observed coordinates. More precisely, we want to compute the positions of the N nodes in a global coordinate system, given P1, ⋯, PM and the corresponding local coordinates. Among other applications, this problem arises in divide-and-conquer algorithms for localization of adhoc sensor networks. The network is said to be uniquely registrable if the global coordinates can be computed uniquely (up to a rigid transform). Clearly, if the network is not uniquely registrable, then any registration algorithm whatsoever is bound to fail. We formulate a necessary and sufficient condition for uniquely registra-bility in arbitrary dimensions. This condition leads to a randomized polynomial-time test for unique registrability in arbitrary dimensions, and a combinatorial linear-time test in two dimensions.","PeriodicalId":13203,"journal":{"name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","volume":"64 1","pages":"4564-4568"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.2019.8682680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Consider a network with N nodes in d dimensions, and M overlapping subsets P1, ⋯,PM (subnetworks). Assume that the nodes in a given Pi are observed in a local coordinate system. We wish to register the subnetworks using the knowledge of the observed coordinates. More precisely, we want to compute the positions of the N nodes in a global coordinate system, given P1, ⋯, PM and the corresponding local coordinates. Among other applications, this problem arises in divide-and-conquer algorithms for localization of adhoc sensor networks. The network is said to be uniquely registrable if the global coordinates can be computed uniquely (up to a rigid transform). Clearly, if the network is not uniquely registrable, then any registration algorithm whatsoever is bound to fail. We formulate a necessary and sufficient condition for uniquely registra-bility in arbitrary dimensions. This condition leads to a randomized polynomial-time test for unique registrability in arbitrary dimensions, and a combinatorial linear-time test in two dimensions.