A new method for the registration of three-dimensional point-sets: The Gaussian Fields framework

A Method for Registration of 3-D Shapes

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Efficient variants of the ICP algorithm

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Object modelling by registration of multiple range images

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Using spin images for efficient object recognition in cluttered 3D scenes

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Iterative point matching for registration of free-form curves and surfaces

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Zippered polygon meshes from range images

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Numerical recipes—the art of scientific computing

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The Rapid Evaluation of Potential Fields in Particle Systems

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Robust registration of 2D and 3D point sets

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ICP registration using invariant features

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The Fast Gauss Transform

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Improved fast gauss transform and efficient kernel density estimation

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A Survey Of Free-Form Object Representation and Recognition Techniques

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Structural indexing: efficient 3-D object recognition

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The Mollification Method and the Numerical Solution of Ill‐Posed Problems

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A Computational Framework for Segmentation and Grouping

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Towards a general multi-view registration technique

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Fully automatic registration of multiple 3D data sets

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RANSAC-based DARCES: a new approach to fast automatic registration of partially overlapping range images

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Three-Dimensional Moment Invariants

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A Robust Method for Registration and Segmentation of Multiple Range Images

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Efficient kernel density estimation using the fast gauss transform with applications to color modeling and tracking

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New feature points based on geometric invariants for 3D image registration

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Robust motion and correspondence of noisy 3-D point sets with missing data

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Registration without ICP

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A refined ICP algorithm for robust 3-D correspondence estimation

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A spherical representation for recognition of free-form surfaces

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The rapid evaluation of potential fields in particle systems

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Registration of multiple point sets

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Optimal registration of object views using range data

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Special Issue on Registration and Fusion of Range Images

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Pair-Wise Range Image Registration: A Study in Outlier Classification

Dalley, G., & Flynn, P. J. (2002) · Computer Vision and Image Understanding · doi:10.1006/cviu.2002.0986 · Cited by 62 · see citing works

Gaussian fields: a new criterion for 3D rigid registration

Boughorbel, F., Koschan, A. F., Abidi, B. R., et al. (2004) · Pattern Recognition · doi:10.1016/j.patcog.2004.02.005 · Cited by 27 · see citing works

Automatic 3D model reconstruction based on novel pose estimation and integration techniques

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Shape metrics, warping and statistics

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The Fast Gauss Transform

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Automatic Registration for Model Building using Variable Dimensional Local Shape Descriptors

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Gaussian energy functions for registration without correspondences

Boughorbel, F., Koschan, A., Abidi, B., et al. (2008) · Cited by 5 · see citing works

Automatic registration of 3D datasets using Gaussian fields

Boughorbel, F., Koschan, A. F., & Abidi, M. A. (2005) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2005.1530514 · Cited by 3 · see citing works

Gaussian energy functions for registration without correspondences

Boughorbel, F., Koschan, A. F., Abidi, B. R., et al. (2004) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2004.1334460 · Cited by 3 · see citing works

Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid

Tam, G. K. L., Cheng, Z.-Q., Lai, Y.-K., Langbein, F. C., Liu, Y., Marshall, D., Martin, R. R., Sun, X.-F., & Rosin, P. L. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2012.310 · Cited by 679 · see citing works

Reducing Neural Network Parameter Initialization Into an SMT Problem (Student Abstract)

Danesh, M. H. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v35i18.17884 · Cited by 2 · see citing works

Comparison of Random Weight Initialization to New Weight Initialization CONEXP

Mittal, A., Singh, A. P., & Chandra, P. (2020) · Communications in computer and information science · doi:10.1007/978-981-15-5830-6_24

A New Initialization Method for Neural Networks with Weight Sharing

Ding, X., Yang, H., Chan, R. H., et al. (2021) · Springer proceedings in mathematics & statistics · doi:10.1007/978-981-16-2701-9_9 · Cited by 3 · see citing works

Remarks on the initialization of Caputo derivative

Zhang, F., & Li, C. (2012) · doi:10.1109/mesa.2012.6275583 · Cited by 4 · see citing works

The Distributed Initialization Algorithm Based on Known n MSs

Xi-lin, D. (2004)