Computer Vision: Algorithms and Applications

Szeliski, Richard

  • 出版商: Springer
  • 出版日期: 2023-01-06
  • 售價: $3,050
  • 貴賓價: 9.5$2,898
  • 語言: 英文
  • 頁數: 925
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 303034374X
  • ISBN-13: 9783030343743
  • 相關分類: Algorithms-data-structuresComputer Vision
  • 海外代購書籍(需單獨結帳)


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: //

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.





- 結構化設計,支持活躍的課程和以項目為導向的課程,引言部分提供了在各種定制課程中使用本書的建議。
- 每章末尾提供練習題,重點測試算法並提供許多小型期中項目的建議。
- 在附錄中提供額外的材料和更詳細的數學主題,包括線性代數、數值技術和貝葉斯估計理論。
- 每章末尾提供其他閱讀資料,包括每個子領域的最新研究,以及書末的完整參考文獻。
- 在相關網站上提供學生的補充課程材料。



Dr. Richard Szeliski has more than 40 years' experience in computer vision research, most recently at Facebook and Microsoft Research, where he led the Computational Photography and Interactive Visual Media groups. He is currently an Affiliate Professor at the University of Washington where he co-developed (with Steve Seitz) the widely adopted computer vision curriculum on which this book is based. He was awarded the IEEE Computer Society PAMI Distinguished Researcher Award in 2017 and is an IEEE and ACM Fellow.


Dr. Richard Szeliski在計算機視覺研究領域擁有超過40年的經驗,最近在Facebook和Microsoft Research擔任職位,領導計算攝影和互動視覺媒體團隊。他目前是華盛頓大學的聯合教授,與Steve Seitz共同開發了這本書所基於的廣泛採用的計算機視覺課程。他於2017年獲得了IEEE計算機學會PAMI杰出研究者獎,並且是IEEE和ACM的會士。