講演抄録/キーワード |
講演名 |
2019-01-15 13:00
3D Point Cloud Data Simplification Method for Electromagnetic Simulation in Indoor Environment ○Zhihang Chen・Kentaro Saito(TokyoTech)・Wataru Okamura・Yukiko Kishiki(KKE)・Jun-ichi Takada(TokyoTech) SRW2018-49 |
抄録 |
(和) |
Nowadays, using point clouds to do electromagnetic (EM) simulation has been attracting a lot of attention since point clouds could provide more accurate data to describe real environments. However, usually one point cloud file contains millions of points data and as well as a lot of noise points. Directly using raw point clouds data for EM simulation will bring problems. Therefore, in order to enhance the accuracy of the result of EM simulation, not only we need to consider how accurately the model describes the real environment but also consider how to simplify the model. In this paper, we propose an efficient algorithm of 3D reconstruction of indoor environments from point clouds based on region growing and RANSAC. By considering the roles and functions of different extracted planes and their relation with other planes, we can reconstruct the simplified but still accurate model in a short time. |
(英) |
Nowadays, using point clouds to do electromagnetic (EM) simulation has been attracting a lot of attention since point clouds could provide more accurate data to describe real environments. However, usually one point cloud file contains millions of points data and as well as a lot of noise points. Directly using raw point clouds data for EM simulation will bring problems. Therefore, in order to enhance the accuracy of the result of EM simulation, not only we need to consider how accurately the model describes the real environment but also consider how to simplify the model. In this paper, we propose an efficient algorithm of 3D reconstruction of indoor environments from point clouds based on region growing and RANSAC. By considering the roles and functions of different extracted planes and their relation with other planes, we can reconstruct the simplified but still accurate model in a short time. |
キーワード |
(和) |
EM simulation / point clouds / surface reconstruction / / / / / |
(英) |
EM simulation / point clouds / surface reconstruction / / / / / |
文献情報 |
信学技報, vol. 118, no. 386, SRW2018-49, pp. 19-24, 2019年1月. |
資料番号 |
SRW2018-49 |
発行日 |
2019-01-08 (SRW) |
ISSN |
Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
SRW2018-49 |
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