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2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 2
Kauai, Hawaii
December 08-December 14
ISBN: 0-7695-1272-0
Kirk L. Duffin, Northern Illinois University
William A. Barrett, Brigham Young University
Accurate estimation of effective camera focal length is crucial to the success of panoramic image stitching. Fast techniques for estimating the focal length exist, but are dependent upon a close initial approximation or the existence of a full circle panoramic image sequence. Numerical solutions of the focal length demonstrate strong coupling between the focal length and the angles used to position each component image about the common spherical center. This paper demonstrates that parameterizing panoramic image positions using spherical arc length instead of angles effectively decouples the focal length from the image position. This new parameterization does not require an initial focal length estimate for quick convergence, nor does it require a full circle panorama in order to refine the focal length. Experiments with synthetic and real image sets demonstrate the robustness of the method and a speedup of 5 to 20 times over angle based positioning.
Index Terms:
Focal length estimation, image stitching, partial panoramas, zoom lenses
Citation:
Kirk L. Duffin, William A. Barrett, "Fast Focal Length Solution in Partial Panoramic Image Stitching," cvpr, vol. 2, pp.690, 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 2, 2001
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