Can I read Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging : Mathematical Imaging and Vision on EtoBox?

Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging : Mathematical Imaging and Vision by Ke Chen, Carola-Bibiane Schönlieb, Xue-Cheng Tai, Laurent Younes is a nonfiction available to read on EtoBox.

What is Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging : Mathematical Imaging and Vision about?

This handbook gathers together the state of the art on mathematical models and algorithms for imaging and vision. Its emphasis lies on rigorous mathematical methods, which represent the optimal solutions to a class of imaging and vision problems, and on effective algorithms, which are necessary for the methods to be translated to practical use in various applications. Viewing discrete images as data sampled from functional surfaces enables the use of advanced tools from calculus, functions and calculus of variations, and nonlinear optimization, and provides the basis of high-resolution imaging through geometry and variational models. Besides, optimization naturally connects traditional model-driven approaches to the emerging data-driven approaches of machine and deep learning. No other framework can provide comparable accuracy and precision to imaging and vision. Written by leading researchers in imaging and vision, the chapters in this handbook all start with gentle introductions, which make this work accessible to graduate students. For newcomers to the field, the book provides a comprehensive and fast-track introduction to the content, to save time and get on with tackling new a

Who reads Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging : Mathematical Imaging and Vision?

Author

Ke Chen, Carola-Bibiane Schönlieb, Xue-Cheng Tai, Laurent Younes

Publisher

Springer International Publishing Springer

Published

2023

Language

EN

ISBN

9783030986605

Category

nonfiction

Subjects

Mathematics, Stem