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Book
Imaging, Vision and Learning Based on Optimization and PDEs : IVLOPDE, Bergen, Norway, August 29 – September 2, 2016
Authors: --- ---
ISBN: 3319912747 3319912739 Year: 2018 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

This volume presents the peer-reviewed proceedings of the international conference Imaging, Vision and Learning Based on Optimization and PDEs (IVLOPDE), held in Bergen, Norway, in August/September 2016. The contributions cover state-of-the-art research on mathematical techniques for image processing, computer vision and machine learning based on optimization and partial differential equations (PDEs). It has become an established paradigm to formulate problems within image processing and computer vision as PDEs, variational problems or finite dimensional optimization problems. This compact yet expressive framework makes it possible to incorporate a range of desired properties of the solutions and to design algorithms based on well-founded mathematical theory. A growing body of research has also approached more general problems within data analysis and machine learning from the same perspective, and demonstrated the advantages over earlier, more established algorithms. This volume will appeal to all mathematicians and computer scientists interested in novel techniques and analytical results for optimization, variational models and PDEs, together with experimental results on applications ranging from early image formation to high-level image and data analysis.

Keywords

Image processing --- Digital techniques. --- Mathematics. --- Digital image processing --- Digital electronics --- Computer vision. --- Optical pattern recognition. --- Computer science --- Mathematical optimization. --- Differential equations, partial. --- Computer graphics. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Computational Mathematics and Numerical Analysis. --- Optimization. --- Partial Differential Equations. --- Computer Graphics. --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Partial differential equations --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Computer mathematics --- Discrete mathematics --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Digital techniques --- Mathematics --- Optical data processing. --- Pattern recognition. --- Computer mathematics. --- Partial differential equations. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Optical equipment


Book
Efficient Algorithms for Global Optimization Methods in Computer Vision : International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers
Authors: --- ---
ISBN: 3642547737 3642547745 Year: 2014 Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,

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  This book constitutes the thoroughly refereed post-conference proceedings of the International Dagstuhl-Seminar on Efficient Algorithms for Global Optimization Methods in Computer Vision, held in Dagstuhl Castle, Germany, in November 2011. The 8 revised full papers presented were carefully reviewed and selected by 12 lectures given at the seminar. The seminar focused on the entire algorithmic development pipeline for global optimization problems in computer vision: modelling, mathematical analysis, numerical solvers and parallelization. In particular, the goal of the seminar was to bring together researchers from all four fields to analyze and discuss the connections between the different stages of the algorithmic design pipeline.


Book
Mathematical methods in image processing and inverse problems : IPIP 2018, Beijing, China, April 21-24
Authors: --- ---
ISBN: 9811627010 9811627002 Year: 2021 Publisher: Gateway East, Singapore : Springer,


Digital
Efficient Algorithms for Global Optimization Methods in Computer Vision : International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers
Authors: --- ---
ISBN: 9783642547744 Year: 2014 Publisher: Berlin, Heidelberg Springer

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Abstract

  This book constitutes the thoroughly refereed post-conference proceedings of the International Dagstuhl-Seminar on Efficient Algorithms for Global Optimization Methods in Computer Vision, held in Dagstuhl Castle, Germany, in November 2011. The 8 revised full papers presented were carefully reviewed and selected by 12 lectures given at the seminar. The seminar focused on the entire algorithmic development pipeline for global optimization problems in computer vision: modelling, mathematical analysis, numerical solvers and parallelization. In particular, the goal of the seminar was to bring together researchers from all four fields to analyze and discuss the connections between the different stages of the algorithmic design pipeline.


Digital
Imaging, Vision and Learning Based on Optimization and PDEs : IVLOPDE, Bergen, Norway, August 29 – September 2, 2016
Authors: --- ---
ISBN: 9783319912745 Year: 2018 Publisher: Cham Springer International Publishing

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Abstract

This volume presents the peer-reviewed proceedings of the international conference Imaging, Vision and Learning Based on Optimization and PDEs (IVLOPDE), held in Bergen, Norway, in August/September 2016. The contributions cover state-of-the-art research on mathematical techniques for image processing, computer vision and machine learning based on optimization and partial differential equations (PDEs). It has become an established paradigm to formulate problems within image processing and computer vision as PDEs, variational problems or finite dimensional optimization problems. This compact yet expressive framework makes it possible to incorporate a range of desired properties of the solutions and to design algorithms based on well-founded mathematical theory. A growing body of research has also approached more general problems within data analysis and machine learning from the same perspective, and demonstrated the advantages over earlier, more established algorithms. This volume will appeal to all mathematicians and computer scientists interested in novel techniques and analytical results for optimization, variational models and PDEs, together with experimental results on applications ranging from early image formation to high-level image and data analysis.


Digital
Mathematical Methods in Image Processing and Inverse Problems : IPIP 2018, Beijing, China, April 21-24
Authors: --- ---
ISBN: 9789811627019 9789811627026 9789811627033 9789811627002 Year: 2021 Publisher: Singapore Springer Singapore, Imprint: Springer

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This book contains eleven original and survey scientific research articles arose from presentations given by invited speakers at International Workshop on Image Processing and Inverse Problems, held in Beijing Computational Science Research Center, Beijing, China, April 21-24, 2018. The book was dedicated to Professor Raymond Chan on the occasion of his 60th birthday. The contents of the book cover topics including image reconstruction, image segmentation, image registration, inverse problems and so on. Deep learning, PDE, statistical theory based research methods and techniques were discussed. The state-of-the-art developments on mathematical analysis, advanced modeling, efficient algorithm and applications were presented. The collected papers in this book also give new research trends in deep learning and optimization for imaging science. It should be a good reference for researchers working on related problems, as well as for researchers working on computer vision and visualization, inverse problems, image processing and medical imaging.


Book
Energy Minimization Methods in Computer Vision and Pattern Recognition : 10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings
Authors: --- --- ---
ISBN: 9783319146126 3319146114 9783319146119 3319146122 Year: 2015 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This volume constitutes the refereed proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2015, held in Hong Kong, China, in January 2015. The 36 revised full papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on discrete and continuous optimization; image restoration and inpainting; segmentation; PDE and variational methods; motion, tracking and multiview reconstruction; statistical methods and learning; and medical image analysis.

Keywords

Computer Science. --- Pattern Recognition. --- Performance and Reliability. --- Image Processing and Computer Vision. --- Algorithm Analysis and Problem Complexity. --- Data Mining and Knowledge Discovery. --- Computer science. --- Operating systems (Computers). --- Computer software. --- Data mining. --- Computer vision. --- Optical pattern recognition. --- Informatique --- Systèmes d'exploitation (Ordinateurs) --- Logiciels --- Exploration de données (Informatique) --- Vision par ordinateur --- Reconnaissance optique des formes (Informatique) --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Electrical Engineering --- Computer Science --- Machine vision --- Vision, Computer --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Software, Computer --- Computer operating systems --- Computers --- Disk operating systems --- Informatics --- Operating systems --- Computer software --- Algorithms. --- Image processing. --- Pattern recognition. --- Reusability. --- Database searching --- Science --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Algorism --- Algebra --- Arithmetic --- Reusability of software --- Reusable code (Computer programs) --- Software reusability --- Software reengineering --- Generic programming (Computer science) --- Foundations --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Systems software --- Computer systems --- Pattern perception --- Perceptrons --- Visual discrimination --- Optical pattern recognition --- Computer software—Reusability. --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Optical equipment


Book
Mathematical Methods in Image Processing and Inverse Problems
Authors: --- --- ---
ISBN: 9789811627019 9789811627026 9789811627033 9789811627002 Year: 2021 Publisher: Singapore Springer Singapore :Imprint: Springer

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Digital
Energy Minimization Methods in Computer Vision and Pattern Recognition : 10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings
Authors: --- --- ---
ISBN: 9783319146126 9783319146133 9783319146119 Year: 2015 Publisher: Cham Springer International Publishing

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Abstract

This volume constitutes the refereed proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2015, held in Hong Kong, China, in January 2015. The 36 revised full papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on discrete and continuous optimization; image restoration and inpainting; segmentation; PDE and variational methods; motion, tracking and multiview reconstruction; statistical methods and learning; and medical image analysis.


Book
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging : Mathematical Imaging and Vision
Authors: --- --- ---
ISBN: 3030030091 Year: 2021 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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A latest update on the state of arts research developments in the fast growing and highly multidisciplinary field of Variational Methods and Effective Algorithms for Imaging and Vision. The emphasis is on the Variational Methods which represent the optimal solutions to class of imaging and vision problems and on Effective Algorithms which are necessary for the methods to be translate to practical use in various applications. Viewing discrete images as data sampled from functional surfaces enable the use of Advanced tools from Calculus, Functions and Calculus of Variations, Optimization and provide the basis of high resolution imaging through variational models. No other frameworks can provide the comparable accuracy and precision to Imaging and Vision. Ample references are given on topics covered. All chapters will have introductions so that the book is accessible to graduate students. For new comers to the field, the book provides a comprehensive and fast track introduction to the c to save time and get on with tackling new and emerging challenges, rather than running the risk of reproducing / comparing to some old works already done or reinventing same results. For researchers, exposure to the state of arts of research works leads to an overall view of the entire field so as to guide new research directions and avoid pitfalls in moving the field forward and looking into the next 25 years of imaging and information sciences. Primary audience: Graduate students, Researchers, Imaging and vision practitioners, Applied mathematicians, Medical Imagers, Engineers, and Computer scientists.

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