Zitova B and Flusser J. Image registration methods: a survey[J]. Image and Vision Computing, 2003, 21(11): 977-1000.
|
Lian Z, Godil A, Bustos B, et al.. A comparison of methods for non-rigid 3D shape retrieval[J]. Pattern Recognition, 2013, 46(1): 449-461.
|
Liu M, Vemuri B C, Amari S I, et al.. Shape retrieval using hierarchical total bregman soft clustering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(12): 2407-2419.
|
Besl P J and McKay N D. Method for registration of 3-D shapes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14(2): 586-606.
|
Tagliasacchi A, Bouaziz S, and Pauly M. Sparse iterative closest point[J]. Computer Graphics Forum, 2013, 32(5): 113-123.
|
Tam G K L, Cheng Z Q, Lai Y K, et al.. Registration of 3D point clouds and meshes: a survey from rigid to nonrigid[J]. IEEE Transactions on Visualization and Computer Graphics, 2013, 19(7): 1199-1217.
|
Jian B and Vemuri B C. Robust point set registration using gaussian mixture models[J]. IEEE Transactions on Pattern
|
Analysis and Machine Intelligence, 2011, 33(8): 1633-1645.
|
Myronenko A and Song X. Point set registration: coherent point drift[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(12): 2262-2275.
|
Tsin Y and Kanade T. A correlation-based approach to robust point set registration[C]. Computer Vision-ECCV 2004. Springer Berlin Heidelberg, Prague, 2004: 558-569.
|
Granger S and Pennec X. Multi-scale EM-ICP: a fast and robust approach for surface registration[C]. Computer VisionECCV 2002, Springer Berlin Heidelberg, Copenhagen, 2002: 418-432.
|
Hermans J, Smeets D, Vandermeulen D, et al.. Robust point set registration using EM-ICP with information-theoretically optimal outlier handling[C]. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado, USA, 2011: 2465-2472.
|
Lipman Y, Yagev S, Poranne R, et al.. Feature matching with bounded distortion[J]. ACM Transactions on Graphics, 2014, 33(3), DOI: 10.1145/2602142.
|
Paulus S, Dupuis J, Mahlein A K, et al.. Surface feature based classification of plant organs from 3D laserscanned point clouds for plant phenotyping[J]. BMC Bioinformatics, 2013, 14(1), DOI: 10.1186/147-2105-14-238.
|
Zeng Y, Wang C, Gu X, et al.. A generic deformation model for dense non-rigid surface registration: a higher-order MRF- based approach[C]. IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, 2013: 3360-3367.
|
Hou T and Qin H. Robust dense registration of partial nonrigid shapes[J]. IEEE Transactions on Visualization and Computer Graphics, 2012, 18(8): 1268-1280.
|
Lombaert H, Grady L, Polimeni J R, et al.. FOCUSR: feature oriented correspondence using spectral regularization(a method for precise surface matching[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, Australia, 2013, 35(9): 2143-2160.
|
Chang W and Zwicker M. Automatic registration for articulated shapes[J]. Computer Graphics Forum, 2008, 27(5): 1459-1468.
|
Bronstein M M and Kokkinos I. Scale-invariant heat kernel signatures for non-rigid shape recognition[C]. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, 2010: 1704-1711.
|
Sun J, Ovsjanikov M, and Guibas L. A concise and provably informative multi-scale signature based on heat diffusion[J]. Computer Graphics Forum, 2009, 28(5): 1383-1392.
|
Hershey J R and Olsen P A. Approximating the Kullback Leibler divergence between Gaussian mixture models[C]. IEEE International Conference on Acoustics, Speech and Signal Processing, Honolulu, 2007(4): 317-320.
|
Karaboga D, Gorkemli B, Ozturk C, et al.. A comprehensive survey: artificial bee colony (ABC) algorithm and applications[J]. Artificial Intelligence Review, 2014, 42(1): 21-57.
|