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Comput."],"published-print":{"date-parts":[[2020,12]]},"abstract":"<jats:p> Tree skeleton could be useful to agronomy researchers because the skeleton describes the shape and topological structure of a tree. The phenomenon of organs\u2019 mutual occlusion in fruit tree canopy is usually very serious, this should result in a large amount of data missing in directed laser scanning 3D point clouds from a fruit tree. However, traditional approaches can be ineffective and problematic in extracting the tree skeleton correctly when the tree point clouds contain occlusions and missing points. To overcome this limitation, we present a method for accurate and fast extracting the skeleton of fruit tree from laser scanner measured 3D point clouds. The proposed method selects the start point and endpoint of a branch from the point clouds by user\u2019s manual interaction, then a backward searching is used to find a path from the 3D point cloud with a radius parameter as a restriction. The experimental results in several kinds of fruit trees demonstrate that our method can extract the skeleton of a leafy fruit tree with highly accuracy. <\/jats:p>","DOI":"10.1142\/s1793962320500518","type":"journal-article","created":{"date-parts":[[2020,7,22]],"date-time":"2020-07-22T03:00:56Z","timestamp":1595386856000},"page":"2050051","source":"Crossref","is-referenced-by-count":2,"title":["A novel method for extracting skeleton of fruit tree from 3D point clouds"],"prefix":"10.1142","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4957-9418","authenticated-orcid":false,"given":"Shenglian","family":"Lu","sequence":"first","affiliation":[{"name":"College of Computer Science and Information Technology, Guangxi Normal University, Guilin 541004, P. R. China"},{"name":"Guangxi Key Lab of Multi-Source Information Mining and Security, No. 15 Yucai Road, Guilin 541004, P. R. 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