Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-5/W12, 115-120, 2011
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-5-W12/115/2011/
doi:10.5194/isprsarchives-XXXVIII-5-W12-115-2011
© Author(s) 2011. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
03 Sep 2012
POLE-LIKE OBJECTS RECOGNITION FROM MOBILE LASER SCANNING DATA USING SMOOTHING AND PRINCIPAL COMPONENT ANALYSIS
H. Yokoyama1, H. Date1, S. Kanai1, and H. Takeda2 1Graduate School of Information Science and Technology, Hokkaido University, Sapporo060-0814, Japan
2Kokusai Kogyo Co., Ltd, Chiyoda-ku102-0085, Japan
Keywords: Mobile Laser Scanning, Object Recognition, Laplacian Smoothing, Point Clouds, Principal Component Analysis, Pole-like Objects Abstract. With the spread of the Mobile Laser Scanning (MLS) system, the demands for the management of road and facilities using MLS point clouds have increased. Especially, pole-like objects such as streetlights, utility poles, street signs and etc. are in high demand as facilities to be managed. We propose a method for recognizing pole-like objects from MLS point clouds. Our method is based on Laplacian smoothing using the k-nearest neighbors graph, Principal Component Analysis for recognizing points on pole-like objects, and thresholding for the degree of pole-like objects. Our method can robustly recognize pole-like objects with various radii and tilt angles from MLS point clouds. For correctly segmented objects, accuracy of pole-like object recognition is on average 97.4%.
Conference paper (PDF, 1131 KB)


Citation: Yokoyama, H., Date, H., Kanai, S., and Takeda, H.: POLE-LIKE OBJECTS RECOGNITION FROM MOBILE LASER SCANNING DATA USING SMOOTHING AND PRINCIPAL COMPONENT ANALYSIS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-5/W12, 115-120, doi:10.5194/isprsarchives-XXXVIII-5-W12-115-2011, 2011.

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