Computer Vision: Algorithms and Applications

Dr. Richard Szeliski has worked in computer vision research for over 40 years, most recently at Facebook and Microsoft Research, where he led the Computational Photography and Interactive Visual Media divisions. He is currently an Affiliate Professor at the University of Washington, where he co-created (with Steve Seitz) the widely used computer vision curriculum that serves as the foundation for this book.

Computer Vision: Algorithms and Applications delves into the various ways for analyzing and interpreting images. It also explains tough real-world applications where vision is successfully applied, such as image search and autonomous navigation, as well as enjoyable, consumer-level exercises that students may apply to their own personal images and videos.

This unusually authoritative and complete textbook/reference provides a scientific approach to the formulation of computer vision problems, making it more than just a source of "recipes." These issues are then studied using the most recent classical and deep learning models, and they are solved using rigorous engineering approaches.

Topics and features include:

• Structured to accommodate active curricula and project-based courses, with suggestions for using the book in a range of tailored courses in the Introduction.
• Completely new content on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented reality is included.
• Exercises are provided at the end of each chapter, with a focus on testing algorithms and various suggestions for modest mid-term projects.
• Includes 1,500 new citations and 200 new statistics covering the significant changes over the last decade.
• Appendices contain extra material and more complex mathematical topics on linear algebra, numerical approaches, estimate theory, datasets, and software.

Computer Vision: Algorithms and Applications is appropriate for an upper-level undergraduate or graduate-level course in computer science or engineering, and it concentrates on basic concepts that function in real-world situations while encouraging students to stretch their creative bounds. Its design and presentation also make it an excellent reference to fundamental techniques and current research literature in computer vision. The book is among the best books on computer vision.

Author: Richard Szeliski

Link to buy: https://www.amazon.com/Computer-Vision-Algorithms-Applications-Science/dp/3030343715/

Ratings: 4.4 out of 5 stars (from 14 reviews)

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