From the reviews:
“This large work by Szeliski (Microsoft Research), an experienced computer vision researcher and instructor, contains hundreds of glossy color photos that illustrate the variety of techniques used to analyze and interpret images. … It is suitable for teaching a senior-level undergraduate course in computer vision or graduate courses covering the more demanding material. Its primary use will be as a general reference to the fundamental techniques and recent research literature for graduate students, faculty/researchers, and professionals. Summing Up: Recommended. Upper-division undergraduates and above.” (C. Tappert, Choice, Vol. 48 (9), May, 2011)
“The aim of this book is to provide a course in computer vision for undergraduate students in computer science or electrical engineering. … The focus is on algorithms and applications. … The mathematics covered is nicely presented … . Each chapter contains exercises and references to additional reading. … The book also contains many references to resources on the Internet.” (Lisbeth Fajstrup, Zentralblatt MATH, Vol. 1219, 2011)
“The main interests of Richard Szeliski’s book is to give a … up-to-date overview of the state of the art. … a valuable resource for teaching computer vision at either the undergraduate or graduate level. … an interesting read for any student or engineer who wants a broad introduction to the field of computer vision. … From a teaching point of view, the book is a valuable resource, offering an extended list of exercises, project proposals, and appealing applications of computer vision techniques.” (Sebastien Lefevre, ACM Computing Reviews, July, 2011)
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:
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.
Dr. Richard Szeliski has more than 25 years’ experience in computer vision research, most notably at Digital Equipment Corporation and Microsoft Research. This text draws on that experience, as well as on computer vision courses he has taught at the University of Washington and Stanford.
I am rusty. I was a math and physics major many years ago. Computer vision is just fascinating. Just watch for new applications every day. Our startup, Visada, www.visada. Read morePublished 1 month ago by JB Duler
My favorite introductory computer vision book. Less technical than Multiple View Geometry, and a wide summary of all of the introductory concepts. Read morePublished 2 months ago by Kyle Wilshusen
I finally understand the 'mystery' of the probabilistic approach in Machine Learning with this book. Read morePublished 3 months ago by Tommy G.
For anyone looking for comprehensive coverage of all the fundamentals of computer vision, this is the book for you. Read morePublished 5 months ago by Brandon Scott
got this for a college class and it was worthless. the authors cannot explain complex topics to save their lives. stick with your professor's lectures and skip this book.Published 7 months ago by MICHAEL OSULLIVAN
It's an excellent textbook on learning the Opencv technology. Hence I found one issue:
In Table 3.3, Fourier transforms of the separable kernels shown in Figure 3. Read more
I completely aggree with the reviewer who called this book a review article. The author doesn't want to explain, he just wants to enumerate the ideas.Published 11 months ago by lisprambo
I believe that COMPUTER VISION by Richard Szeliski is a must read book about vision technology & integration into robotics/artificial intelligence from a hardware, software,... Read morePublished 20 months ago by Sammie Powell Jr.