Abstract
The vanishing line is useful information for recovering affine properties of the plane in computer vision. This paper describes how to determine analytically the vanishing line from a single perspective view of a plane containing the four points of known normalized barycentric coordinates in a general position, and further how to compute the vanishing line via the eigenvector representation. We also propose that the projectivity may be expressed directly and analytically from the vanishing line and three 3D–2D point correspondences. It is shown that plane affine properties may be computed and the metric may be recovered from known metric information, which includes an angle, two equal but unknown angles, and a length ratio of two non-parallel line segments, without using the image of the circular points as an intermediate step. The correctness and performance of the novel results are demonstrated by thorough testing on both synthetic and real data.










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References
Semple, J.G., Kneebone, G.T.: Algebraic projective geometry. Clarendon Press, Oxford (1952)
Hartley, R., Zisserman, A.: Multiple view geometry in computer vision. Cambridge University Press, Cambridge (2004)
Rothwell, C., Zisserman, A., Mundy, J., Forsyth, D.: Efficient model library access by projectively invariant indexing functions. In: IEEE conference on computer vision and pattern recognition, Champaign, IL, pp. 109–114 (1992)
Slama, C.: Manual of photogrammetry, 4th edn. American Society of Photogrammetry, Falls Church (1980)
Liebowitz, D., Zisserman, A.: Metric rectification for perspective images of planes. In: IEEE conference on computer vision and pattern recognition, Santa Barbara, CA, pp. 482–488 (1998)
Koenderink, J.J., van Doorn, A.J.: Affine structure from motion. J. Opt. Soc. Am. A 8(2), 377–385 (1991)
Faugeras, O.D.: Stratification of three-dimensional vision: projective, affine and metric representation. J. Opt. Soc. Am. A 12(3), 465–484 (1995)
Collins, R.T., Beveridge, J.R.: Matching perspective views of coplanar structures using projective unwarping and similarity matching. In: IEEE conference on computer vision and pattern recognition, New York, NY, pp. 240–245 (1993)
Criminisi, A., Reid, I., Zisserman, A.: Single view metrology. Int. J. Comput. Vis. 40(2), 123–148 (2000)
Schaffalitzky, F., Zisserman, A.: Planar grouping for automatic detection of vanishing lines and points. Image Vis. Comput. 18, 647–658 (2000)
Wang, G.H., Hu, Z.Y., Wu, F.C.: Single view based measurement on space planes. J. Comput. Sci. Technol. 19(3), 374–382 (2004)
Se, S.: Zebra-crossing detection for the partially sighted. In: IEEE conference on computer vision and pattern recognition, Hilton Head Island, SC, pp. 211–217 (2000)
Möbius, A.F.: Der barycentrische Calcul. Verlag von Johann Ambrosius Barth, Leipzig (1827)
Coxeter, H.S.M.: Introduction to geometry. Wiley, New York (1969)
Fauvel, J., Flood, R., Wilson, R.: Möbius and his band: mathematics and astronomy in nineteenth-century Germany. Oxford University Press, England (1993)
Floater, M.S., Hormann, K., Kós, G.: A general construction of barycentric coordinates over convex polygons. Adv. Comput. Math. 24(1–4), 311–331 (2006)
Warren, J., Schaefer, S., Hirani, A.N., et al.: Barycentric coordinates for convex sets. Adv. Comput. Math. 27(3), 319–338 (2007)
Rustamov, R.M.: Interpolated eigenfunctions for volumetric shape processing. Vis. Comput. 27(11), 951–961 (2011)
Haralick, R.M.: Determining camera parameters from the perspective projection of a rectangle. Pattern Recognit. 22(3), 225–230 (1989)
Penna, M.A.: Determining camera parameters from the perspective projection of a quadrilateral. Pattern Recognit. 24(6), 533–541 (1991)
Horn, B.K.P., Hilden, H.M., Negahdaripour, S.: Closed-form solution of absolute orientation using orthonormal matrices. J. Opt. Soc. Am. A 5(7), 1127–1135 (1988)
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The author thanks the anonymous referees for valuable suggestions. This work was supported by the Fundamental Research Funds for the Central Universities under Grant No. 100405012.
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Guo, Y. An Approach to the Vanishing Line Identification Based on Normalized Barycentric Coordinates. J Math Imaging Vis 50, 286–299 (2014). https://doi.org/10.1007/s10851-014-0499-y
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DOI: https://doi.org/10.1007/s10851-014-0499-y