Paper Abstract and Keywords |
Presentation |
2012-02-20 15:20
Detection of 3D points on moving objects from point cloud data based on luminance variation for 3D modeling of outdoor environments Tsunetake Kanatani (Hyogo Pref. Inst. of Tech./NAIST), Hideyuki Kume, Takafumi Taketomi, Tomokazu Sato, Naokazu Yokoya (NAIST) ITS2011-42 IE2011-118 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
A 3D modeling technique for an urban environment can be applied to several applications such as landscape simulation, navigation, and mixed reality. In this field, firstly, the target environment is measured by using several sensors (laser rangefinder, cameras, GPS, and gyro). The 3D model of the environment is then constructed based on the result of the 3D measurement. In this 3D modeling process, 3D points which exist on moving objects become an obstacle to construct accurate 3D model. In order to solve this problem, in this report, we propose a method for detection of 3D points on moving objects from 3D point cloud data using omnidirectional images. In our method, 3D points on moving objects are detected based on luminance variation obtained by projecting 3D points onto omnidirectional images. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Outdoor Environment / 3D Modeling / 3D Point Cloud Data / Moving Objects / HSV model / / / |
Reference Info. |
IEICE Tech. Rep., vol. 111, no. 441, ITS2011-42, pp. 153-158, Feb. 2012. |
Paper # |
ITS2011-42 |
Date of Issue |
2012-02-13 (ITS, IE) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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ITS2011-42 IE2011-118 |
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