Abstract
The relative position and orientation of multiple cameras are very important for reconstructing 3D objects and for generating arbitrary views of the scene. The relationship of these multiple cameras can be described by the epipolar geometry. Recently, it has been shown that the epipolar geometry can be computed accurately and efficiently by using the mutual projection of cameras. In this paper, we propose a method for calibrating a large amount of multiple cameras efficiently by extending the mutual projection method for three views. We also show that the proposed method can be applied for reconstructing 3D objects accurately.
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