Three dimensional vision applications, such as robot vision, require modeling of the relationship between the two-dimensional images and the three-dimensional world. Camera calibration is a process which accurately models this relationship. The calibration procedure determines the geometric parameters of the camera, such as focal length and center of the image. Most of the existing calibration techniques use predefined patterns and a static camera. Recently, a novel calibration technique for computing the focal length and image center, which uses an active camera, has been developed. This technique does not require any predefined patterns or point-to-point correspondence between images-only a set of scenes with some stable edges. It was observed that the algorithms developed for the image center are sensitive to noise and hence unreliable in real situations. This report extends the techniques provided to develop a simpler, yet more robust method for computing the image center.
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