| 书目名称 | Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging | | 副标题 | Mathematical Imaging | | 编辑 | Ke Chen,Carola-Bibiane Schönlieb,Laurent Younces | | 视频video | | | 概述 | Topics written by leading Imaging and Vision researchers.Balanced coverage of theories and algorithms.Ready access to the state of arts in Imaging and Vision.Exposition of learning based methods for I | | 图书封面 |  | | 描述 | .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 ne | | 出版日期 | Living reference work 20210th edition | | 关键词 | Mathematical Imaging and Vision; Nonlinear optimization; Calculus of variation; Efficient algorithms; De | | doi | https://doi.org/10.1007/978-3-030-03009-4 | | isbn_ebook | 978-3-030-03009-4 |
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发表于 2025-3-21 16:40:32
