Self-Location Estimation of Monocular Camera Using GPS and Buildings Map

抄録

Applications as visual navigation with image sensor and mixed/augmented reality have been investigated actively. In these technique requires the self-location information of the camera. In this paper, we propose a method for the estimating camera position from outdoor image sequences by using the simple GPS information as first camera position. In this method, the camera position is estimated by responding corners of the building on the map to those on the image. And, the error on the image is prevented by matching borders between ground and building on the map and those on the image. In the experimental results, the evaluation of estimation of the camera position and the comparison the input image and the image which correspond to the estimated camera parameter show the efficacy of the proposed method.