Abstract
Circular features are one of the most widely used shapes for camera calibration, due to several advantages: easy to make and recognize, not sensitive to image noise, symmetry, analytic formulation is simple. However, perspective projection is generally not a shape preserving transformation. A circle often mapped as an ellipse on the image plane when the feature and the image plane are not parallel to each other, as a result, the center of the circle shift from the center of the ellipse. In this paper we present a simple and robust algorithm to compensate this bias before camera calibration. Experimental results show the algorithm is important and convenient.
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