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Optimization for Computer Vision

2013-07-12 Computers
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Release : 2013-07-12
Genre : Computers
Kind : eBook
Book Rating : 832/5 ( reviews)

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Book Synopsis Optimization for Computer Vision by : Marco Alexander Treiber

Download or read book Optimization for Computer Vision written by Marco Alexander Treiber. This book was released on 2013-07-12. Available in PDF, EPUB and Kindle. Book excerpt: This practical and authoritative text/reference presents a broad introduction to the optimization methods used specifically in computer vision. In order to facilitate understanding, the presentation of the methods is supplemented by simple flow charts, followed by pseudocode implementations that reveal deeper insights into their mode of operation. These discussions are further supported by examples taken from important applications in computer vision. Topics and features: provides a comprehensive overview of computer vision-related optimization; covers a range of techniques from classical iterative multidimensional optimization to cutting-edge topics of graph cuts and GPU-suited total variation-based optimization; describes in detail the optimization methods employed in computer vision applications; illuminates key concepts with clearly written and step-by-step explanations; presents detailed information on implementation, including pseudocode for most methods.

Optimization Techniques in Computer Vision

2016-12-06 Computers
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Release : 2016-12-06
Genre : Computers
Kind : eBook
Book Rating : 640/5 ( reviews)

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Book Synopsis Optimization Techniques in Computer Vision by : Mongi A. Abidi

Download or read book Optimization Techniques in Computer Vision written by Mongi A. Abidi. This book was released on 2016-12-06. Available in PDF, EPUB and Kindle. Book excerpt: This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems. Unconstrained optimization gives the best solution based on numerical minimization of a single, scalar-valued objective function or cost function. Unconstrained optimization problems have been intensively studied, and many algorithms and tools have been developed to solve them. Most practical optimization problems, however, arise with a set of constraints. Typical examples of constraints include: (i) pre-specified pixel intensity range, (ii) smoothness or correlation with neighboring information, (iii) existence on a certain contour of lines or curves, and (iv) given statistical or spectral characteristics of the solution. Regularized optimization is a special method used to solve a class of constrained optimization problems. The term regularization refers to the transformation of an objective function with constraints into a different objective function, automatically reflecting constraints in the unconstrained minimization process. Because of its simplicity and efficiency, regularized optimization has many application areas, such as image restoration, image reconstruction, optical flow estimation, etc. Optimization plays a major role in a wide variety of theories for image processing and computer vision. Various optimization techniques are used at different levels for these problems, and this volume summarizes and explains these techniques as applied to image processing and computer vision.

Nature Inspired Optimization Techniques for Image Processing Applications

2018-09-19 Technology & Engineering
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Release : 2018-09-19
Genre : Technology & Engineering
Kind : eBook
Book Rating : 024/5 ( reviews)

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Book Synopsis Nature Inspired Optimization Techniques for Image Processing Applications by : Jude Hemanth

Download or read book Nature Inspired Optimization Techniques for Image Processing Applications written by Jude Hemanth. This book was released on 2018-09-19. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and complexity are a major area of concern when it comes to practical applications. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications.

Modern Optimization Techniques in Computer Vision

2021 Computer vision
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Release : 2021
Genre : Computer vision
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Modern Optimization Techniques in Computer Vision by : Jonas Geiping

Download or read book Modern Optimization Techniques in Computer Vision written by Jonas Geiping. This book was released on 2021. Available in PDF, EPUB and Kindle. Book excerpt:

Efficient Algorithms for Global Optimization Methods in Computer Vision

2014-04-01 Computers
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Release : 2014-04-01
Genre : Computers
Kind : eBook
Book Rating : 745/5 ( reviews)

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Book Synopsis Efficient Algorithms for Global Optimization Methods in Computer Vision by : Andrés Bruhn

Download or read book Efficient Algorithms for Global Optimization Methods in Computer Vision written by Andrés Bruhn. This book was released on 2014-04-01. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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