Abstract
We here present a new approach to characterize similar areas of two 2D point clouds, which is a major issue in Pattern Recognition and Image Analysis.
To do so, we define a similarity measure that takes into account several criteria such as invariance by rotation, outlier elimination, and one-dimensional structure enhancement. We use this similarity measure to associate locations from one cloud to the other, to use this result in the frame of a registration process between these two point clouds.
Our main contributions are the integration of various one-dimensional structure representations into a unified formalism, and the design of a robust estimator to evaluate the common information related to these structures.
Finally, we show how to use this approach to register images of different modalities.
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References
Fischler, M., Bolles, R.: Random Sample Consensus. A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography. Communications of the ACM 24(6), 381–395 (1981)
Li, H., Manjunath, B., Mitra, S.: A contour-based approach to multisensor image registration. IEEE Transactions on Image Processing 4(3), 320–334 (1995)
Zhao, Y., Chen, Y.Q.: Connected Equi-Length Line Segments for Curve and Structure Matching. International Journal of Pattern Recognition and Artificial Intelligence 18(6), 1019–1037 (2004)
Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. International Journal of Computer Vision 1(234), 321–331 (1988)
Touzi, R., Lopes, A., Bousquet, P.: A statistical and geometrical edge detector for SAR images. IEEE Transactions on Geoscience and Remote Sensing 30(5), 1054–1060 (1988)
Deriche, R.: Using Canny’s criteria to derive a recursively implemented optimal edge detector. International Journal of Computer Vision 1(2), 167–187 (1987)
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© 2012 Springer-Verlag Berlin Heidelberg
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Mavromatis, S., Palmann, C., Sequeira, J. (2012). Characterization of Similar Areas of Two 2D Point Clouds. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2012. Lecture Notes in Computer Science, vol 7432. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33191-6_50
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DOI: https://doi.org/10.1007/978-3-642-33191-6_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33190-9
Online ISBN: 978-3-642-33191-6
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