Computer Vision: Principles, Algorithms, Applications, Learning, 5/e (Hardcover)
暫譯: 計算機視覺：原則、算法、應用、學習，第5版（精裝本）

E. R. Davies

Computer Vision: Principles, Algorithms, Applications, Learning, 5/e (Hardcover)

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商品描述

Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and systematically presents the basic methodology of computer vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fifth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date text suitable for undergraduate and graduate students, researchers and R&D engineers working in this vibrant subject.

See an interview with the author explaining his approach to teaching and learning computer vision - http://scitechconnect.elsevier.com/computer-vision/

  • Three new chapters on Machine Learning emphasise the way the subject has been developing; Two chapters cover Basic Classification Concepts and Probabilistic Models; and the The third covers the principles of Deep Learning Networks and shows their impact on computer vision, reflected in a new chapter Face Detection and Recognition.
  • A new chapter on Object Segmentation and Shape Models reflects the methodology of machine learning and gives practical demonstrations of its application.
  • In-depth discussions have been included on geometric transformations, the EM algorithm, boosting, semantic segmentation, face frontalisation, RNNs and other key topics.
  • Examples and applications―including the location of biscuits, foreign bodies, faces, eyes, road lanes, surveillance, vehicles and pedestrians―give the ‘ins and outs’ of developing real-world vision systems, showing the realities of practical implementation.
  • Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples.
  • The ‘recent developments’ sections included in each chapter aim to bring students and practitioners up to date with this fast-moving subject.
  • Tailored programming examples―code, methods, illustrations, tasks, hints and solutions (mainly involving MATLAB and C++)

商品描述(中文翻譯)

電腦視覺：原則、演算法、應用、學習（之前標題為《電腦與機器視覺》）清晰且系統地呈現了電腦視覺的基本方法論，涵蓋了理論的基本要素，同時強調了演算法和實際設計的限制。這一全面修訂的第五版引入了更多電腦視覺的概念和應用，使其成為一本非常全面且最新的教材，適合本科生、研究生、研究人員以及在這一活躍領域工作的研發工程師。

請參閱作者的訪談，了解他對教學和學習電腦視覺的看法 - http://scitechconnect.elsevier.com/computer-vision/

- 三個關於機器學習的新章節強調了該主題的發展；兩個章節涵蓋了基本分類概念和機率模型；第三個章節則介紹了深度學習網絡的原則，並展示了其對電腦視覺的影響，反映在新章節人臉檢測與識別中。
- 一個關於物體分割與形狀模型的新章節反映了機器學習的方法論，並提供了其應用的實際示範。
- 包含了對幾何變換、EM演算法、增強、語義分割、人臉正面化、RNN及其他關鍵主題的深入討論。
- 實例和應用——包括餅乾、異物、人臉、眼睛、車道、監控、車輛和行人的定位——提供了開發現實世界視覺系統的「內幕」，展示了實際實施的現實情況。
- 必要的數學和基本理論通過仔細的解釋和良好插圖的例子變得易於接近。
- 每章中包含的「近期發展」部分旨在讓學生和從業者跟上這一快速發展的主題。
- 量身定制的程式範例——代碼、方法、插圖、任務、提示和解決方案（主要涉及MATLAB和C++）。

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