Abstract
We present a simple calibration method for computing the extrinsic parameters (pose) and intrinsic parameters (focal length and principal point) of a camera by imaging a pattern of known geometry. Usually, the patterns used in calibration algorithms are complex to build (three orthogonal planes) or need a lot of features (checkerboard-like pattern). We propose using just two concentric circles that, when projected onto the image, become two ellipses. With a simple mark close to the outer circle, our algorithm can recover the full pose of the camera.
Under the perfect pinhole camera assumption, the pose and the focal length can be recovered from just one image. If the principal point of the camera has to be computed as well, two images are required. We present several results, using both synthetic and real images, that show the robustness of our method.
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Abad, F., Camahort, E., Vivó, R. (2004). Camera Calibration Using Two Concentric Circles. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30125-7_85
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DOI: https://doi.org/10.1007/978-3-540-30125-7_85
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23223-0
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