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The rigid registration of two 3D point sets is a fundamental problem in computer vision.
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A. S. Mian, M. Bennamoun and R. Owens, ”A novel representation and feature matching algorithm for automatic pairwise registration of range images,” Int. J. Comput. Vis. , vol. 66, no. 1, pp. 19-40, Jan. 2006
2006
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2009
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2009
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2010
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T. Whelan, M. Kaess, H. Johannsson, M. Fallon, J. J. Leonard and J. Mcdonald, ”Real-time large-scale dense RGB-D SLAM with volumetric fusion,” International Journal of Robotics Research , vol. 34, no. 4-5, pp. 598-626, Apr. 2015
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2015
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M. Brown, D. Windridge and J.-Y. Guillemaut, ”Globally optimal 2D-3D registration from points or lines without correspondences,” in Proc. IEEE Conf. Comput. Vis. Pattern Recog. , 2015, pp. 2111-2119
2015
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D. Campbell and L. Petersson, ”An adaptive data representation for robust point-set registration and merging,” in Proc. IEEE Int. Conf. Comput. Vis. , 2015, pp. 4292-4300
2015
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C. Zhang, S. Du, J. Liu and J. Xue, ”Robust 3D point set registration using iterative closest point algorithm with bounded rotation angle,” Signal Processing , vol. 120, no. C, Mar. 2016
2016
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J. Yang, H. Li, D. Campbell and Y Jia, ”Go-ICP: a globally optimal solution to 3D ICP point-set registration,” IEEE Trans. Pattern Anal. Mach. Intell. , vol. 38, no. 11, pp. 2241-2254, Nov. 2016
2016
Later among the works it cites.
D. Campbell and L. Petersson, ”GOGMA: globally-optimal Gaussian Mixture alignment,” in Proc. IEEE Conf. Comput. Vis. Pattern Recog. , 2016, pp. 5685-5694
2016
Later among the works it cites.
Á. J. Parra Busto, T.-J. Chin, A. Eriksson, H. Li and D. Suter, ”Fast rotation search with stereographic projections for 3D registration,” IEEE Trans. Pattern Anal. Mach. Intell. , vol. 38, no. 11, pp. 2227-2240, Nov. 2016
2016
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Y. Liu, Z. Song and M. Wang, ”A new robust markerless method for automatic image-to-patient registration in image-guided neurosurgery system,” Comput Assist Surg , vol. 22, no. sup1, pp. 319-325, Dec. 2017
2017
Later among the works it cites.
W. Lian, L. Zhang and M.-H. Yang, ”An efficient globally optimal algorithm for asymmetric point matching,” IEEE Trans. Pattern Anal. Mach. Intell. , vol. 39, no. 7, pp. 1281-1293, July. 2017
2017
Later among the works it cites.
J. Straub, T. Campbell, J. P. How and J. W. Fisher, ”Efficient global point cloud alignment using Bayesian nonparametric mixtures,” in Proc. IEEE Conf. Comput. Vis. Pattern Recog. , 2017, pp. 2403-2412
2017
Later among the works it cites.
Y. Liu, C. Wang, Z. Song and M. Wang, ”Efficient global point cloud registration by matching rotation invariant features through translation search,” in Proc. Eur. Conf. Comput. Vis. , 2018, pp. 460-474
2018
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D. Campbell, L. Petersson, L. Kneip and H. Li, ”Globally-optimal inlier set maximisation for camera pose and correspondence estimation,” IEEE Trans. Pattern Anal. Mach. Intell. , preprint, June. 2018
2018
Closest in time.