Point cloud registration for indoor mapping using time-of-flight camera

Kenta Ochiai, Masafumi Nakagawa

研究成果: Conference contribution

抄録

Disaster monitoring requires for a safety and rapidity. 3D measurement, such as photogrammetry and laser scanning, can satisfy these requirements in a structure inspection and modeling. Aerial photogrammetry and laser scanning are applied to 3D data acquisition in damaged outdoor environments. Recently, the ground-based disaster monitoring also requires 3D data acquisition in indoor environment. We propose a point cloud data alignment methodology based on Iterative Closest Point (ICP) algorithm and SLAM approaches. However, conventional ICP and SLAM use only geometrical features. In other words, we are difficult to align simple planes. Thus, image matching using intensity values taken from TOF camera are integrated into a feature matching for a stable 3D data alignment.

本文言語English
ホスト出版物のタイトル34th Asian Conference on Remote Sensing 2013, ACRS 2013
出版社Asian Association on Remote Sensing
ページ44-49
ページ数6
ISBN(印刷版)9781629939100
出版ステータスPublished - 2013 1 1
イベント34th Asian Conference on Remote Sensing 2013, ACRS 2013 - Bali, Indonesia
継続期間: 2013 10 202013 10 24

出版物シリーズ

名前34th Asian Conference on Remote Sensing 2013, ACRS 2013
1

Conference

Conference34th Asian Conference on Remote Sensing 2013, ACRS 2013
国/地域Indonesia
CityBali
Period13/10/2013/10/24

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信

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