Computer Tutorials and Books
Tutorials: C / C++ | C#.NET | PHP MySQL | Java | Java Script | jQuery | HTML | xHTML | HTML5 | VB Script | CSS

Books: C/C++ | C# | Android | Mathematics | Database | Cloud | Graphics | Networking | Oracle | Hardware | AI
Categories Download eBook: Computer Vision: Algorithms and Applications Bookmark and Share

Title Computer Vision: Algorithms and Applications
Author(s) Richard Szeliski
Publisher: Springer; 1st Edition. edition (October 1, 2010)
Hardcover 979 pages
eBook PDF (979 pages, 22.1 MB)
Language: English
ISBN-10: 1848829345
Book Description

As humans, we perceive the three-dimensional structure of the world around us 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 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 text/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting this process to produce the best possible descriptions of a scene. Exercises are presented throughout the book, with a heavy emphasis on testing algorithms.

Suitable for either an undergraduate or a graduate-level course in computer vision, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries.
Download eBook
Computer Vision: Algorithms and Applications

More Data Structures and Algorithms eBooks:
Linear Programming: Foundations and Extensions
Algorithms and Data Structures With Applications to Graphics and Geometry
Matters Computational: Ideas, Algorithms, Source Code
Exploring Randomness
Ant Colony Optimization - Techniques and Applications
Fundamental Data Structures
Introduction to Design Analysis of Algorithms
Solving NP-Complete Problems
Think Complexity: Complexity Science and Computational Modeling
Traveling Salesman Problem, Theory and Applications
Knapsack Problems: Algorithms and Computer Implementations
Information Theory, Inference and Learning Algorithms
Real-World Applications of Genetic Algorithms
New Frontiers in Graph Theory
Search Algorithms for Engineering Optimization

Home - Advertise - Contact - Disclaimer - About Us
© Since 2006 -- All Rights Reserved.