資料來源: Google Book

Computer vision :algorithms and applications

  • 作者: Szeliski, Richard,
  • 出版: London ;New York : Springer 2011.
  • 稽核項: xx, 812 p. :ill. (some col.) ;29 cm.
  • 叢書名: Texts in computer science
  • 標題: Computer vision. , Image processing. , Computer algorithms.
  • ISBN: 1848829345 , 9781848829343
  • 附註: 100年度教育部購置教學研究相關圖書儀器及設備計畫. Includes bibliographical references (p. [691]-792) and index.
  • 系統號: 005061324
  • 資料類型: 圖書
  • 讀者標籤: 需登入
  • 引用網址: 複製連結
Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem and what is the current state of the art? Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques Topics and features: structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects; provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory; suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book; supplies supplementary course material for students at the associated website, http://szeliski.org/Book/. Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.
來源: Google Book
Richard Szeliski
來源: Google Books
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