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Download the fantastic book titled Optimization for Computer Vision written by Marco Alexander Treiber, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Optimization for Computer Vision", which was released on 12 July 2013. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Optimization for Computer Vision by Marco Alexander Treiber PDF

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 for Computer Vision

Detail About Optimization for Computer Vision PDF

  • Author : Marco Alexander Treiber
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Total Pages : 257 pages
  • ISBN : 1447152832
  • PDF File Size : 8,6 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Optimization for Computer Vision

Optimization for Computer Vision
  • Publisher : Springer Science & Business Media
  • File Size : 50,5 Mb
  • Release Date : 12 July 2013
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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

Optimization Techniques in Computer Vision

Optimization Techniques in Computer Vision
  • Publisher : Springer
  • File Size : 28,9 Mb
  • Release Date : 06 December 2016
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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

Mathematical Optimization in Computer Graphics and Vision

Mathematical Optimization in Computer Graphics and Vision
  • Publisher : Morgan Kaufmann
  • File Size : 47,7 Mb
  • Release Date : 09 August 2011
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Mathematical optimization is used in nearly all computer graphics applications, from computer vision to animation. This book teaches readers the core set of techniques that every computer graphics professional should

Imaging, Vision and Learning Based on Optimization and PDEs

Imaging, Vision and Learning Based on Optimization and PDEs
  • Publisher : Springer
  • File Size : 40,5 Mb
  • Release Date : 19 November 2018
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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

Efficient Algorithms for Global Optimization Methods in Computer Vision

Efficient Algorithms for Global Optimization Methods in Computer Vision
  • Publisher : Springer
  • File Size : 27,6 Mb
  • Release Date : 01 April 2014
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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

Robust Subspace Estimation Using Low-Rank Optimization

Robust Subspace Estimation Using Low-Rank Optimization
  • Publisher : Springer Science & Business Media
  • File Size : 30,5 Mb
  • Release Date : 24 March 2014
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Various fundamental applications in computer vision and machine learning require finding the basis of a certain subspace. Examples of such applications include face detection, motion estimation, and activity recognition. An

Accelerated Optimization for Machine Learning

Accelerated Optimization for Machine Learning
  • Publisher : Springer Nature
  • File Size : 21,5 Mb
  • Release Date : 29 May 2020
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This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problems with its learning models, and first-order

Advanced Topics in Computer Vision

Advanced Topics in Computer Vision
  • Publisher : Springer Science & Business Media
  • File Size : 35,5 Mb
  • Release Date : 24 September 2013
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This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text provides an overview of challenging areas and descriptions