Abstract
In this paper a novel algorithm is presented to match the spherical binary images by measuring the maximal superposition degree between them. Experiments show that our method can match spherical binary images in a more accurate way.
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Sing, K.: A Survey of Image-based Rendering Techniques. Technical Report Series, CRL 97/4, Cambridge Research Laboratory
Kazhdan, M., Funkhouser, T.: Harmonic 3D shape matching. In: Computer Graphics Proceedings Annual Conference Series, ACM SIGGRAPH Technical Sketch, Texas (2002)
Li, S., Chiba, N.: Estimating Head Pose from Spherical Image for VR Environment. In: Chen, Y.-C., Chang, L.-W., Hsu, C.-T. (eds.) PCM 2002. LNCS, vol. 2532, pp. 1169–1176. Springer, Heidelberg (2002)
Wu, Y., He, Y., Tian, H.: Relaxation of spherical parametrization meshes. The Visual Computer 21(8), 897–904 (2005)
Rhaleb, Z., Christian, R., Hans, S.: Curvilinear Spherical Parameterization. In: The 2006 IEEE International Conference on Shape Modeling and Applications, Matsushima, pp. 11–18 (2006)
Turk, G.: Generating Textures on Arbitrary Surfaces Using Reaction-Diffusion. Computer Graphics 25(4), 289–298 (1991)
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Wei, L., Yuanjun, H. (2007). Spherical Binary Images Matching. In: Shi, Y., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds) Computational Science – ICCS 2007. ICCS 2007. Lecture Notes in Computer Science, vol 4488. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72586-2_19
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DOI: https://doi.org/10.1007/978-3-540-72586-2_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72585-5
Online ISBN: 978-3-540-72586-2
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