Abstract
In this paper, we propose a novel ICP variant that uses a histogram in conjunction with multiple closest points to detect the overlap area between range images being registered. Tentative correspondences sharing similar distances are normally all within, or all outside, the overlap area. Thus, the overlap area can be detected in a bin by bin batch manner using a histogram. Using multiple closest points is likely to enlarge the distance difference for tentative correspondences in the histogram, and pull together the images being registered, facilitating the overlap area detection. Our experimental results based on real range images show that the performance of our proposed algorithm enhances the state of the art.
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References
Bae, K.-H.: Evaluation of the convergence region of an automated registration method for 3D laser scanner point clouds. Sensors 9, 355–375 (2009)
Banno, A., Masuda, T., Oishi, T., Ikeuchi, K.: Flying laser range sensor for large-scale site-modeling and its application in Bayon digital archival project. IJCV 78, 207–222 (2008)
Besl, P.J., McKay, N.D.: A method for registration of 3D shapes. IEEE Trans. PAMI 14, 239–256 (1992)
Castellani, U., Cristani, M., Fantoni, S., Murino, V.: Sparse points matching by combining 3D mesh saliency with statistical descriptors. Computer Graphics Forum 27, 643–652 (2008)
Dewaele, G., Devernay, F., Horaud, H.: Hand motion from 3D point trajectories and a smooth surface model. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3021, pp. 495–507. Springer, Heidelberg (2004)
Dinh, H.Q., Kropac, S.: Multi-resolution spin images. In: Proc. CVPR, pp. 863–870 (2006)
Gold, S., Rangarajan, A., et al.: New algorithms for 2-D and 3-D point matching: pose estimation and correspondence. Pattern Recognition 31, 1019–1031 (1998)
Granger, S., Pennec, X.: Multi-scale EMICP: a fact and robust approach for surface registration. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2353, pp. 418–432. Springer, Heidelberg (2002)
Liu, Y.: Replicator dynamics in the iterative process for accurate range image matching. IJCV 83, 30–56 (2009)
Liu, Y.: Constraints for closest point finding. Pattern Recognition Letters 29, 841–851 (2008)
Liu, Y.: Improving ICP with easy implementation for free form surface matching. Pattern Recognition 37, 211–226 (2004)
Lomonosov, E., Chetverikov, D., Ekart, A.: Pre-registration of arbitrarily oriented 3D surfaces using a genetic algorithm. Pattern Recognition Letters 27, 1201–1208 (2006)
Marquez, M.R.G., Wu, S.-T.: Using simplified meshes for crude registration of two partially overlapping range images. In: WSCG, pp. 183–190 (2007)
Masuda, T.: Log-polar height maps for multiple range image registration. Computer Vision and Image Understanding 113, 1158–1169 (2009)
Phillips, J.M., Liu, R., Tomasi, C.: Outlier robust ICP for minimizing fractional RMSD. In: Proc. 3DIM, pp. 427–434 (2007)
Pulli, K.: Multiview registration for large data sets. In: Proc. 3DIM, pp. 160–168 (1999)
Santamaria, J., Cordon, O., Damas, S., Aleman, I., Botella, M.: A scatter search-based technique for pair-wise 3D range image registration in forensic anthropology. Soft Computing 11, 819–828 (2007)
Scott, D.W.: On optimal and data-based histograms. Biometrika 66, 605–610 (1979)
Sharp, G.C., Lee, S.W., Wehe, D.K.: Maximum-likelihood registration of range images with missing data. IEEE Trans. PAMI 30, 120–130 (2008)
Silva, L., Bellon, O.R.P., Boyer, K.L.: Precision range image registration using a robust surface interpenetration measure and enhanced genetic algorithms. IEEE Trans. PAMI 27, 762–776 (2005)
Wang, F., et al.: Groupwise point pattern registration using a novel CDF-based Jensen-Shannon divergence. In: Proc. CVPR, pp. 1283–1288 (2006)
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Liu, Y., Martin, R.R., Li, L., Wei, B. (2010). Accurate Overlap Area Detection Using a Histogram and Multiple Closest Points. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2010. Lecture Notes in Computer Science, vol 6375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15907-7_13
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DOI: https://doi.org/10.1007/978-3-642-15907-7_13
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