3D SEM Surface Reconstruction: An Optimized, Adaptive, and Intelligent Approach

3D SEM Surface Reconstruction: An Optimized, Adaptive, and Intelligent Approach

[1]  D. Dowson.  History of Tribology , 1979 .

[2]  G. Thollet,et al.  A history of scanning electron microscopy developments: towards "wet-STEM" imaging. , 2007, Micron.

[3]  임천석.  Modern Optical Engineering: 3rd ed. (저자 : Warren J. Smith) , 2007 .

[4]  R. Storn,et al.  Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces , 2004 .

[5]  Paolo Cignoni,et al.  Metro: Measuring Error on Simplified Surfaces , 1998, Comput. Graph. Forum.

[6]  Luc Van Gool,et al.  SURF: Speeded Up Robust Features , 2006, ECCV.

[7]  Atsuyuki Okabe,et al.  Spatial Tessellations: Concepts and Applications of Voronoi Diagrams , 1992, Wiley Series in Probability and Mathematical Statistics.

[8]  Sami Romdhani,et al.  A 3D Face Model for Pose and Illumination Invariant Face Recognition , 2009, 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance.

[9]  W. Slówko,et al.  Surface reconstruction with the photometric method in SEM , 2005 .

[10]  Latha Srinivasan,et al.  An Overview of Service-oriented Architecture Web Services and Grid Computing , 2005 .

[11]  Jean-Philippe Thiran,et al.  Surface Reconstruction From Microscopic Images in Optical Lithography , 2014, IEEE Transactions on Image Processing.

[12]  TaeYong Kim,et al.  Adaptive differential evolution algorithm for real time object tracking , 2013, IEEE Transactions on Consumer Electronics.

[13]  Maria Petrou,et al.  Recursive photometric stereo when multiple shadows and highlights are present , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[14]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

[15]  Ralph Hatch.  SaaS Architecture, Adoption and Monetization of SaaS Projects using Best Practice Service Strategy, Service Design, Service Transition, Service Operation and Continual Service Improvement Processes , 2008 .

[16]  Richard Szeliski,et al.  Building Rome in a day , 2009, ICCV.

[17]  Ponnuthurai N. Suganthan,et al.  Recent advances in differential evolution - An updated survey , 2016, Swarm Evol. Comput..

[18]  Paul Clements,et al.  Software architecture in practice , 1999, SEI series in software engineering.

[19]  Andrew W. Fitzgibbon,et al.  Bundle Adjustment - A Modern Synthesis , 1999, Workshop on Vision Algorithms.

[20]  R. Egerton.  Physical Principles of Electron Microscopy: An Introduction to TEM, SEM, and AEM , 2010 .

[21]  Zeyun Yu,et al.  Recent advances in 3D SEM surface reconstruction. , 2015, Micron.

[22]  Jean-Michel Morel,et al.  From Gestalt Theory to Image Analysis: A Probabilistic Approach , 2007 .

[23]  Changchang Wu,et al.  Towards Linear-Time Incremental Structure from Motion , 2013, 2013 International Conference on 3D Vision.

[24]  Eduard Reithmeier,et al.  3D-measurement with the stereo scanning electron microscope on sub-micrometer structures , 2010 .

[25]  Jyhjong Lin,et al.  An Architecture for Cloud-Based Consumer Support Software-as-a-Service , 2014 .

[26]  Anny Yuniarti.  3D Surface Reconstruction of Noisy Photometric Stereo , 2007 .

[27]  Takeshi Ikenaga,et al.  A FPGA-Based Dual-Pixel Processing Pipelined Hardware Accelerator for Feature Point Detection Part in SIFT , 2009, 2009 Fifth International Joint Conference on INC, IMS and IDC.

[28]  Zhiguo Cao,et al.  A real-time embedded architecture for SIFT , 2013, J. Syst. Archit..

[29]  B. Cyganek.  An Introduction to 3D Computer Vision Techniques and Algorithms , 2009 .

[30]  L. De Chiffre,et al.  Uncertainty evaluation for three-dimensional scanning electron microscope reconstructions based on the stereo-pair technique , 2011 .

[31]  Strother H. Walker,et al.  Estimation of the probability of an event as a function of several independent variables. , 1967, Biometrika.

[32]  N. Altman.  An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression , 1992 .

[33]  D. Cox.  The Regression Analysis of Binary Sequences , 2017 .

[34]  U. Truyen,et al.  [Electron microscopy]. , 1997, Tierarztliche Praxis.

[35]  Zeyun Yu,et al.  3D Microscopy Vision Using Multiple View Geometry and Differential Evolutionary Approaches , 2014, ISVC.

[36]  Dieter Schmalstieg,et al.  Robust Incremental Structure from Motion , 2010 .

[37]  Toby Sharp,et al.  Real-time human pose recognition in parts from single depth images , 2011, CVPR.

[38]  Julien Rabin,et al.  A Statistical Approach to the Matching of Local Features , 2009, SIAM J. Imaging Sci..

[39]  Felix Wortmann,et al.  Internet of Things , 2015, Business & Information Systems Engineering.

[40]  Irina Rish,et al.  An empirical study of the naive Bayes classifier , 2001 .

[41]  Günter Rote,et al.  Computing the Minimum Hausdorff Distance Between Two Point Sets on a Line Under Translation , 1991, Inf. Process. Lett..

[42]  Peter F. Sturm,et al.  Multi-view geometry for general camera models , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[43]  Fen Zhou,et al.  The Application of SaaS-Based Cloud Computing in the University Research and Teaching Platform , 2011, 2011 International Conference on Intelligence Science and Information Engineering.

[44]  Ohad Medalia,et al.  Advances in tomography: probing the molecular architecture of cells , 2012, Nature Reviews Molecular Cell Biology.

[45]  Pascal Fua,et al.  Worldwide Pose Estimation Using 3D Point Clouds , 2012, ECCV.

[46]  Amitava Datta,et al.  A Parallel Leap-frog Algorithm for 3-Source Photometric Stereo , 2004, ICCVG.

[47]  Michael A. Sutton,et al.  Automated 3-D Reconstruction Using a Scanning Electron Microscope , 2003 .

[48]  Ian H. Witten,et al.  The WEKA data mining software: an update , 2009, SKDD.

[49]  Anurag Agarwal,et al.  The Internet of Things—A survey of topics and trends , 2014, Information Systems Frontiers.

[50]  Berthold K. P. Horn.  SHAPE FROM SHADING: A METHOD FOR OBTAINING THE SHAPE OF A SMOOTH OPAQUE OBJECT FROM ONE VIEW , 1970 .

[51]  Hava T. Siegelmann,et al.  Support Vector Clustering , 2002, J. Mach. Learn. Res..

[52]  Hideki Hayakawa.  Photometric stereo under a light source with arbitrary motion , 1994 .

[53]  Andrew Owens,et al.  Discrete-continuous optimization for large-scale structure from motion , 2011, CVPR 2011.

[54]  R. Storn,et al.  On the usage of differential evolution for function optimization , 1996, Proceedings of North American Fuzzy Information Processing.

[55]  Manolis I. A. Lourakis,et al.  SBA: A software package for generic sparse bundle adjustment , 2009, TOMS.

[56]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[57]  I. Gibson.  Statistics and Data Analysis in Geology , 1976, Mineralogical Magazine.

[58]  P. Rousseeuw.  Least Median of Squares Regression , 1984 .

[59]  C. Villani.  Topics in Optimal Transportation , 2003 .

[60]  S. Kaneko,et al.  Robust surface reconstruction in SEM with Two BSE detectors , 2012, 2012 9th France-Japan & 7th Europe-Asia Congress on Mechatronics (MECATRONICS) / 13th Int'l Workshop on Research and Education in Mechatronics (REM).

[61]  Vincent Lepetit,et al.  BRIEF: Binary Robust Independent Elementary Features , 2010, ECCV.

[62]  M. Lovell,et al.  Friction and Wear , 2013 .

[63]  Zeyun Yu,et al.  SeLibCV: A Service Library for Computer Vision Researchers , 2015, ISVC.

[64]  Anath Fischer,et al.  3D Reconstruction and Visualization of Microstructure Surfaces from 2D Images , 2007 .

[65]  Zeyun Yu,et al.  siftservice.com - Turning a Computer Vision algorithm into a World Wide Web Service , 2015, ArXiv.

[66]  Wlodzimierz Drzazga,et al.  Three-dimensional characterization of microstructures in a SEM , 2006 .

[67]  John J. Bozzola,et al.  Electron microscopy : principles and techniques for biologists , 1992 .

[68]  Zeyun Yu,et al.  A comparative study on the application of SIFT, SURF, BRIEF and ORB for 3D surface reconstruction of electron microscopy images , 2018, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

[69]  Enrico Savio,et al.  Critical factors in SEM 3D stereo microscopy , 2008 .

[70]  Antonios Gasteratos,et al.  Review of Stereo Vision Algorithms: From Software to Hardware , 2008 .

[71]  H. C. Longuet-Higgins,et al.  A computer algorithm for reconstructing a scene from two projections , 1981, Nature.

[72]  Stephen T. C. Wong,et al.  Microscopic Image Analysis for Life Science Applications , 2008 .

[73]  Bernhard P. Wrobel,et al.  Multiple View Geometry in Computer Vision , 2001 .

[74]  Ashish Ghosh,et al.  Moving object detection using Markov Random Field and Distributed Differential Evolution , 2014, Appl. Soft Comput..

[75]  Matthijs C. Dorst.  Distinctive Image Features from Scale-Invariant Keypoints , 2011 .

[76]  Takeo Kanade,et al.  Shape and motion without depth , 1990, [1990] Proceedings Third International Conference on Computer Vision.

[77]  Zoltán R. Bárdosi,et al.  Metacarpal Bones Localization in X-ray Imagery Using Particle Filter Segmentation , 2014, ArXiv.

[78]  Philip H. S. Torr,et al.  Bayesian Model Estimation and Selection for Epipolar Geometry and Generic Manifold Fitting , 2002, International Journal of Computer Vision.

[79]  Christopher Hunt,et al.  Notes on the OpenSURF Library , 2009 .

[80]  David A. Freedman,et al.  Statistical Models: Theory and Practice: References , 2005 .

[81]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[82]  Hongmei Hu,et al.  Object-oriented modified photometric stereo algorithm for 3D imaging in fiber-to-chip coupling , 2012, The 9th International Conference on Group IV Photonics (GFP).

[83]  Yusuf Chisti,et al.  Bioimaging: current concepts in light and electron microscopy, D.E. Chandler, R.W. Roberson. Jones and Bartlett, London (2009), pp. xvi+440, ISBN: 978-0-7637-3874-7 , 2009 .

[84]  Hans-Erik Eriksson,et al.  Business Modeling with UML , 2001 .

[85]  D. Edwards.  Data Mining: Concepts, Models, Methods, and Algorithms , 2003 .

[86]  S Scherer,et al.  Integrating Shape from Shading and Shape from Stereo for Variable Reflectance Surface Reconstruction from SEM Images , 2002 .

[87]  L. Shao,et al.  From Heuristic Optimization to Dictionary Learning: A Review and Comprehensive Comparison of Image Denoising Algorithms , 2014, IEEE Transactions on Cybernetics.

[88]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[89]  D Kersten,et al.  Moving Cast Shadows Induce Apparent Motion in Depth , 1997, Perception.

[90]  John Grundy,et al.  Adaptable, model-driven security engineering for SaaS cloud-based applications , 2013, Automated Software Engineering.

[91]  Robert J. Woodham,et al.  Photometric method for determining surface orientation from multiple images , 1980 .

[92]  Marina Fruehauf.  Scanning And Transmission Electron Microscopy An Introduction , 2016 .

[93]  Lawrence G. Roberts,et al.  Machine Perception of Three-Dimensional Solids , 1963, Outstanding Dissertations in the Computer Sciences.

[94]  Andrew McCallum,et al.  A comparison of event models for naive bayes text classification , 1998, AAAI 1998.

[95]  J. Cazaux,et al.  Recent developments and new strategies in scanning electron microscopy * , 2005, Journal of microscopy.

[96]  Kenji Nakahira,et al.  Evolutionary computation applied to the reconstruction of 3-D surface topography in the SEM. , 2005, Journal of electron microscopy.

[97]  Kanti V. Mardia,et al.  Statistics of Directional Data , 1972 .

[98]  Richard Szeliski,et al.  Modeling the World from Internet Photo Collections , 2008, International Journal of Computer Vision.

[99]  K. D. Vernon-Parry,et al.  Scanning Electron Microscopy , 2012, Current protocols in microbiology.

[100]  R. Pintus,et al.  An Automatic Alignment Procedure for a 4-Source Photometric Stereo Technique applied to Scanning Electron Microscopy , 2006, 2006 IEEE Instrumentation and Measurement Technology Conference Proceedings.

[101]  Vitaliy Feoktistov,et al.  Differential Evolution: In Search of Solutions (Springer Optimization and Its Applications) , 2006 .

[102]  Lionel Moisan,et al.  Meaningful Alignments , 2000, International Journal of Computer Vision.

[103]  Philip H. S. Torr,et al.  The Development and Comparison of Robust Methods for Estimating the Fundamental Matrix , 1997, International Journal of Computer Vision.

[104]  Katsushi Ikeuchi,et al.  Numerical Shape from Shading and Occluding Boundaries , 1981, Artif. Intell..

[105]  Gary R. Bradski,et al.  ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.

[106]  Ignazio Gallo,et al.  A vision‐based, 3D reconstruction technique for scanning electron microscopy: Direct comparison with atomic force microscopy , 2005, Microscopy research and technique.

[107]  W. Słówko,et al.  Detector System for Three-Dimensional Imaging in the Variable Pressure/Environmental SEM , 2013 .

[108]  B. Humbel,et al.  Focused ion beam scanning electron microscopy in biology , 2014, Journal of microscopy.

[109]  Uday K. Chakraborty,et al.  Advances in Differential Evolution , 2010 .

[110]  Andrew Zisserman,et al.  Geometric invariance in computer vision , 1992 .

[111]  Andrew B. Kirkpatrick,et al.  3DSEM: A 3D microscopy dataset , 2016, Data in brief.

[112]  Christian Wöhler,et al.  3D Computer Vision - Efficient Methods and Applications , 2009, X.media.publishing.

[113]  Lyle Noakes,et al.  2D leapfrog algorithm for optimal surface reconstruction , 1999, Optics & Photonics.