Computer Vision: Algorithms and Applications
by Richard Szeliski
Publisher: Springer 2010
ISBN/ASIN: 1848829345
Number of pages: 655
Description:
The book emphasizes basic techniques that work under real-world conditions, not the esoteric mathematics that has intrinsic elegance but less practical applicability. The text is suitable for teaching a senior-level undergraduate course in computer vision to students in computer science and electrical engineering.
Download or read it online for free here:
Download link
(14MB, PDF)
Similar books
Scene Reconstruction Pose Estimation and Trackingby Rustam Stolkin - InTech
This book reports recent advances in the use of pattern recognition techniques for computer and robot vision. The areas of low level vision such as segmentation, edge detection, and region identification, are the focus of this book.
(10864 views)
Natural Image Statisticsby Aapo Hyvarinen, Jarmo Hurri, Patrik O. Hoyer - Springer
Introductory textbook and a research monograph on modelling the statistical structure of natural images. The statistical structure of natural images is described using a number of statistical models whose parameters are estimated from image samples.
(12382 views)
Programming Computer Vision with Pythonby Jan Erik Solem - O'Reilly Media
The idea behind this book is to give an easily accessible entry point to hands-on computer vision with enough understanding of the underlying theory and algorithms to be a foundation for students, researchers and enthusiasts.
(24996 views)
Machine Visionby R. Jain, R. Kasturi, B. G. Schunck - McGraw-Hill
The book is intended to provide a balanced introduction to machine vision. Basic concepts are introduced with only essential mathematical elements. The details to allow implementation and use of vision algorithm in practical application are provided.
(18754 views)