A camera based location estimation using point clouds

When facility information is geocoded onto maps, higher accuracy and higher spatial resolution are required to assist AR interface. In this paper, we focus on the potential of a camera to act as a location sensor, assisting other location sensors to improve positioning accuracy. However, for a camera to be used as a location sensor, reliable maps will be required. We therefore focus on massive point-cloud data for use in reliable maps. We then develop a location-matching methodology based on image matching using an image taken from a camera and panoramic images generated from a massive colored point cloud. Finally, we present experimental results that confirm the validity of our approach.