num_pages: 832
description: Computer 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 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 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.
language: English
title: Computer Vision: Algorithms and Applications
publisher: Springer