Entire 3-D modeling of an object by surround cameras

This paper proposes a novel 3-D modeling technique of an object. The existent 3-D modeling techniques such as stereo vision or the factorization recover 3-D shapes of part of an object observed commonly from multiple orientations. This inevitably needs registration among recovered partial shapes in order to obtain an entire 3-D model of the object. The proposed technique recovers entire shape of an object without registration by the employment of the cameras that surround the object. The cameras are calibrated using the captured images. Experimental results show satisfactory performance of the technique.