Computer Vision: Algorithms and Applications 2/e (Hardcover)

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.

人類能夠輕易地感知到世界的三維結構。然而，儘管近年來在計算機視覺研究方面取得了許多進展，讓電腦像兩歲的孩童一樣解讀圖像的夢想仍然難以實現。為什麼計算機視覺如此具有挑戰性，目前的技術水平又如何？

《計算機視覺：算法與應用》探討了常用於分析和解讀圖像的各種技術。它還描述了在現實世界中成功應用視覺技術的各種挑戰性應用，包括醫學影像等專業應用，以及圖像編輯和拼接等消費者級別的有趣任務，學生們可以將這些技術應用於自己的個人照片和視頻中。

這本極具權威性和全面性的教科書/參考書不僅僅是一本提供“食譜”的資料來源，還以科學的方法處理基本的視覺問題，通過建立物理模型來描述成像過程，然後將其反轉以生成場景描述。這些問題還使用統計模型進行分析，並使用嚴謹的工程技術進行解決。

主題和特點：
- 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http://szeliski.org/Book/上提供學生的補充課程材料。

適合計算機科學或工程學的高年級本科生或研究生課程，本教科書專注於在實際條件下運作的基本技術，並鼓勵學生拓展創造力。其設計和表達方式也使其成為基本技術和當前計算機視覺研究文獻的獨特參考資料。

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和微軟研究院擔任職位，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。