Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B4, 391-396, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B4-391-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
31 Jul 2012
THE DIGITAL CAMERA AS A GPS COMPASS: LOCATION MATCHING USING POINT CLOUDS
M. Nakagawa, D. Kato, H. Endo, H. Itaya, K. Ochiai, and A. Nakanishi Shibaura Institute of Technology, 3-7-5, Toyosu, Koto-ku, Tokyo, 135-8548, Japan
Keywords: Seamless positioning, Point-cloud, Image-based GIS, Panorama image, Image matching, Camera calibration Abstract. We focus on the potential of a camera to act as a location sensor, assisting other location sensors to improve positioning accuracy. A camera is installed in almost all mobile devices. Moreover, the camera can be used as a location sensor without additional transmitters or receivers. However, if the camera is used as a location sensor, reliable maps will be required. Although there are some location-matching approaches that use maps, the success rate of location detection depends on the representation of a 3-D model and its information content. Compared with a model representation based on Computer-Aided Design (CAD), a point-cloud representation is more photorealistic. We therefore focus on point-cloud data being used for reliable maps. Our proposed locationmatching methodology is based on image matching using images from a digital camera and panoramic images generated from a massive point-cloud in an image-based Geographic Information System (GIS). We conducted experiments in location matching using a digital camera to supply the input data for location detection and a point cloud taken from a terrestrial laser scanner. We have confirmed that our approach can detect locations using a digital camera that is restricted to horizontal movement.
Conference paper (PDF, 4010 KB)


Citation: Nakagawa, M., Kato, D., Endo, H., Itaya, H., Ochiai, K., and Nakanishi, A.: THE DIGITAL CAMERA AS A GPS COMPASS: LOCATION MATCHING USING POINT CLOUDS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B4, 391-396, https://doi.org/10.5194/isprsarchives-XXXIX-B4-391-2012, 2012.

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