Abstract
This paper presents a study, based on conic correspondences, on the relationship between two uncalibrated images. We show that, for a pair of corresponding conics, the parameters representing the conics satisfy a linear constraint. We also present a linear algorithm for uniquely determining from the coefficients of this constraint the transformation between corresponding points or lines in the two images up to a scale factor. Accordingly, conic correspondences enable us to easily handle both points and lines in uncalibrated images of a planar object.
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© 1997 Springer-Verlag Berlin Heidelberg
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Sugimoto, A. (1997). Conic based image transfer for 2-D Objects: A linear algorithm. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63931-4_211
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DOI: https://doi.org/10.1007/3-540-63931-4_211
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