Linear self-calibration of a rotating and zooming camera

Abstract
A linear self-calibration method is given for computing the calibration of a stationary but rotating camera. The in- ternal parameters of the camera are allowed to vary from image to image, allowing for zooming (change of focal length) and possible variation of the principal point of the camera. In order for calibration to be possible some con- straints must be placed on the calibration of each image. The method works under the minimal assumption of zero- skew (rectangular pixels), or the more restrictive but rea- sonable conditions of square pixels, known pixel aspect ra- tio, and known principal point. Being linear, the algorithm is extremely rapid, and avoids the convergence problems characteristic of iterative algorithms.

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