On 2D constrained discrete rigid transformations
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Abstract
Rigid transformations are involved in a wide range of digital image processing applications. In such a context, they are generally considered as continuous processes, followed by a digitization of the results. Recently, rigid transformations on ℤ 2 have been alternatively formulated as a fully discrete process. Following this paradigm, we investigate – from a combinatorial point of view – the effects of pixel-invariance constraints on such transformations. In particular we describe the impact of these constraints on both the combinatorial structure of the transformation space and the algorithm leading to its generation.
Keywords
Rigid transformation Discrete geometry Combinatorial structure Image processing Pixel-invariance constraintsMathematics Subject Classifications (2010)
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References
- 1.Amintoosi, M., Fathy, M., Mozayani, N.: A fast image registration approach based on SIFT key-points applied to super-resolution. Imaging Sci. J. 60(4), 185–201 (2011)CrossRefGoogle Scholar
- 2.Amir, A., Kapah, O., Tsur, D.: Faster two-dimensional pattern matching with rotations. Theor. Comput. Sci. 368(3), 196–204 (2006)MATHMathSciNetCrossRefGoogle Scholar
- 3.Andres, E.: The quasi-shear rotation. In: DGCI, Proceedings, Lecture Notes in Computer Science. vol. 1176, pp 307–314. Springer (1996)Google Scholar
- 4.Bishop, C.M.: Pattern Recognition and Machine Learning. Springer-Verlag, New York (2006)MATHGoogle Scholar
- 5.Chan, T.M.: On levels in arrangements of surfaces in three dimensions. In: SODA, Proceedings, pp. 232–240. ACM-SIAM (2005)Google Scholar
- 6.Coeurjolly, D., Blot, V., Jacob-Da Col, M.A.: Quasi-affine transformation in 3-D: theory and algorithms. In: IWCIA, Proceedings, Lecture Notes in Computer Science, vol. 5852, pp. 68–81. Springer (2009)Google Scholar
- 7.Edelsbrunner, H., Guibas, L.J.: Topologically sweeping an arrangement. In: STOC, Proceedings, pp. 389–403. ACM (1986)Google Scholar
- 8.Gose, E., Johnsonbaugh, R., Jost, S.: Pattern Recognition and Image Analysis. Prentice-Hall (1996)Google Scholar
- 9.Gribaa, N., Noblet, V., Khalifa, N., Faisan, S., Hamrouni, K.: Binary image registration based on geometric moments: application to the registration of 3D segmented CT head images. Int. J. Image Graph. 12(2) (2012)Google Scholar
- 10.Harris, C.: Tracking with rigid models. In: Blake, A., Yuille, A. (eds.) Active Vision, pp. 59–73. MIT Press, Cambridge (1993)Google Scholar
- 11.Hundt, C., Liśkiewicz, M.: On the complexity of affine image matching. In: STACS, Proceedings, Lecture Notes in Computer Science, vol. 4393, pp. 284–295. Springer (2007)Google Scholar
- 12.Hundt, C., Liśkiewicz, M.: Combinatorial bounds and algorithmic aspects of image matching under projective transformations. In: MFCS, Proceedings, Lecture Notes in Computer Science, vol. 5162, pp. 395–406. Springer (2008)Google Scholar
- 13.Hundt, C., Liśkiewicz, M., Ragnar, N.: A combinatorial geometrical approach to two-dimensional robust pattern matching with scaling and rotation. Theor. Comput. Sci. 410(51), 5317–5333 (2009)MATHCrossRefGoogle Scholar
- 14.Jacob, M.A., Andres, E.: On discrete rotations. In: DGCI International Conference on Discrete Geometry for Computer Imagery, Proceedings, pp. 161–174 (1995)Google Scholar
- 15.Maintz, J., Viergever, M.: A survey of medical image registration. Med. Image Anal. 2(1), 1–36 (1998)CrossRefGoogle Scholar
- 16.Matousek, J.: On directional convexity. Discret. Comput. Geom. 25(3), 389–403 (2001)MATHMathSciNetCrossRefGoogle Scholar
- 17.Ngo, P., Kenmochi, Y., Passat, N., Talbot, H.: Combinatorial properties of 2D discrete rigid transformations under pixel-invariance constraints. In: IWCIA, Proceedings, Lecture Notes in Computer Science, vol. 7655, pp. 234–248. Springer (2012)Google Scholar
- 18.Ngo, P., Kenmochi, Y., Passat, N., Talbot, H.: Combinatorial structure of rigid transformations in 2D digital images. Comp. Vision Image Underst. 117(4), 393–408 (2013)CrossRefGoogle Scholar
- 19.Ngo, P., Kenmochi, Y., Passat, N., Talbot, H.: Sufficient conditions for topological invariance of 2D digital images under rigid transformations. In: DGCI, Proceedings, Lecture Notes in Computer Science, vol. 7749, pp. 155–168. Springer (2013)Google Scholar
- 20.Nouvel, B., Rémila, E.: Configurations induced by discrete rotations: periodicity and quasi-periodicity properties. Discret. Appl. Math. 147(2–3), 325–343 (2005)MATHCrossRefGoogle Scholar
- 21.Nouvel, B., Rémila, E.: Incremental and transitive discrete rotations. In: IWCIA, Proceedings, Lecture Notes in Computer Science, vol. 4040, pp. 199–213. Springer (2006)Google Scholar
- 22.Pennec, X., Ayache, N., Thirion, J.P.: Landmark-based registration using features identified through differential geometry. In: Bankman, I.N. (ed.) Handbook of Medical Imaging, chap. 31, pp. 499–513. Academic Press (2000)Google Scholar
- 23.Reveillès, J.P.: Géométrie discrète, calcul en nombres entiers et algorithmique. Thèse d’État. Université Strasbourg, p. 1 (1991)Google Scholar
- 24.Richman, M.S.: Understanding discrete rotations. In: ICASSP, Proceedings, vol. 3, pp. 2057–2060. IEEE (1997)Google Scholar
- 25.Rosen, K.H.: Elementary Number Theory and its Applications, 3rd edn. Addison-Wesley (1992)Google Scholar
- 26.Sharir, M.: Recent developments in the theory of arrangements of surfaces. In: FSTTCS, Proceedings, Lecture Notes in Computer Science, vol. 1738, pp. 1–21. Springer (1999)Google Scholar
- 27.Thibault, Y.: Rotations in 2D and 3D discrete spaces. Ph.D. thesis, Université Paris-Est (2010)Google Scholar
- 28.Yilmaz, A., Javed, O., Shah, M.: Object tracking: a survey. ACM Comput. Surv. 38(4), 1–45 (2006)CrossRefGoogle Scholar
- 29.Zitová, B., Flusser, J.: Image registration methods: a survey. Image Vis. Comput. 21(11), 977–1000 (2003)CrossRefGoogle Scholar
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