Geometric Deep Learning for Shape Correspondence in Mass Customization by Three-Dimensional Printing

[1]  Iasonas Kokkinos,et al.  Intrinsic shape context descriptors for deformable shapes , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[2]  Vladimir G. Kim,et al.  Blended intrinsic maps , 2011, SIGGRAPH 2011.

[3]  Alexander M. Bronstein,et al.  A game-theoretic approach to deformable shape matching , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[4]  Gary K. L. Tam,et al.  Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid , 2013, IEEE Transactions on Visualization and Computer Graphics.

[5]  Jonathan Masci,et al.  Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[6]  Razvan Pascanu,et al.  Theano: A CPU and GPU Math Compiler in Python , 2010, SciPy.

[7]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[8]  J A Sethian,et al.  Computing geodesic paths on manifolds. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[9]  Maks Ovsjanikov,et al.  Functional maps , 2012, ACM Trans. Graph..

[10]  Xavier Bresson,et al.  Functional correspondence by matrix completion , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[11]  Federico Tombari,et al.  SHOT: Unique signatures of histograms for surface and texture description , 2014, Comput. Vis. Image Underst..

[12]  Adarsh Krishnamurthy,et al.  A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework , 2016, ArXiv.

[13]  Jeffrey H. Hunt,et al.  Surrogate Model-Based Control Considering Uncertainties for Composite Fuselage Assembly , 2018 .

[14]  Zhenyu Kong,et al.  Fault Diagnosis in Multistation Assembly Systems Using Spatially Correlated Bayesian Learning Algorithm , 2018 .

[15]  David W. Rosen,et al.  Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing , 2009 .

[16]  Leonidas J. Guibas,et al.  Soft Maps Between Surfaces , 2012, Comput. Graph. Forum.

[17]  Peter Borgesen,et al.  Classifying the Dimensional Variation in Additive Manufactured Parts From Laser-Scanned Three-Dimensional Point Cloud Data Using Machine Learning Approaches , 2017 .

[18]  Geoffrey E. Hinton,et al.  Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.

[19]  Pierre Vandergheynst,et al.  Geometric Deep Learning: Going beyond Euclidean data , 2016, IEEE Signal Process. Mag..

[20]  Jonathan Masci,et al.  Learning shape correspondence with anisotropic convolutional neural networks , 2016, NIPS.

[21]  Daniel Cremers,et al.  Efficient Deformable Shape Correspondence via Kernel Matching , 2017, 2017 International Conference on 3D Vision (3DV).

[22]  Nitish Srivastava,et al.  Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.

[23]  Jianxiong Xiao,et al.  3D ShapeNets: A deep representation for volumetric shapes , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[24]  Wenyao Xu,et al.  Mass Customization: Reuse of Digital Slicing for Additive Manufacturing , 2016, J. Comput. Inf. Sci. Eng..

[25]  Sergey Ioffe,et al.  Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.

[26]  Hui Yang,et al.  Deep Learning of Variant Geometry in Layerwise Imaging Profiles for Additive Manufacturing Quality Control , 2019, Journal of Manufacturing Science and Engineering.

[27]  Leonidas J. Guibas,et al.  PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[28]  Pierre Vandergheynst,et al.  Geodesic Convolutional Neural Networks on Riemannian Manifolds , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

[29]  Chi Zhou,et al.  V4PCS: Volumetric 4PCS Algorithm for Global Registration , 2017 .

[30]  S. Kotha.  Mass Customization: The New Frontier in Business Competition , 1992 .

[31]  Hui Wang,et al.  Functional Morphing in Multistage Manufacturing and Its Applications in High-Definition Metrology-Based Process Control , 2012, IEEE Transactions on Automation Science and Engineering.

[32]  Guillermo Sapiro,et al.  A Theoretical and Computational Framework for Isometry Invariant Recognition of Point Cloud Data , 2005, Found. Comput. Math..

[33]  Wenyao Xu,et al.  Information Reuse to Accelerate Customized Product Slicing for Additive Manufacturing , 2018, Volume 1A: 38th Computers and Information in Engineering Conference.

[34]  Jaime A. Camelio,et al.  Modeling Variation Propagation of Multi-Station Assembly Systems With Compliant Parts , 2003 .

[35]  Theodore Lim,et al.  Generative and Discriminative Voxel Modeling with Convolutional Neural Networks , 2016, ArXiv.

[36]  Vladlen Koltun,et al.  Robust Nonrigid Registration by Convex Optimization , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[37]  Yoshua Bengio,et al.  Deep Sparse Rectifier Neural Networks , 2011, AISTATS.