Human Interface Using Camera Position Estimation Method Combining Image Processing with Three Dimensional Model

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In this research, a camera position estimation method combining an image processing with a three dimensional model of an environment was proposed for use by indoor environment. In this method, a position and a posture of a camera is estimated by comparing corresponding points in an inputted image of a camera and a three dimensional model of an environment. Furthermore, a human-interface system which is applied the proposed camera position estimation method, was developed. In this system, humans are provided information by an augmented reality based on estimated positions and postures of a camera.