Utility pole extraction processing from point cloud data from 3D measurement and its applications

التفاصيل البيبلوغرافية
العنوان: Utility pole extraction processing from point cloud data from 3D measurement and its applications
المؤلفون: Kenji Sakakibara, Zhiyi Gao, Masahiro Harada, Tomonori Hosokawa, Toru Kato, Hiroki Takahashi, Akio Doi
المصدر: iCAST
بيانات النشر: IEEE, 2020.
سنة النشر: 2020
مصطلحات موضوعية: 3d measurement, business.product_category, Computer science, business.industry, Feature extraction, Point cloud, Hough transform, law.invention, symbols.namesake, Software, law, Gaussian function, symbols, Computer vision, Extraction (military), Artificial intelligence, business, Utility pole
الوصف: In this study, we propose a method to automatically remove utility poles and electric parts from 3D measurement data of shopping streets and roads, and be used for the landscape simulation of underground utility poles construction at Suehiro-cho of Miyako City. In this method, utility poles were stably extracted automatically by using plural rectangular volumes, Hough transform, and two-dimensional Gaussian function. The efficiency of processing is improved by five times compared with the interactive method of removing the utility poles and the electric parts by the dialogue processing.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::e179b36d109531f738d857b92ed37437
https://doi.org/10.1109/icast51195.2020.9319491
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........e179b36d109531f738d857b92ed37437
قاعدة البيانات: OpenAIRE