Computer vision [electronic resource] : algorithms and applications
- by Richard Szeliski.
- New York ; London : Springer, 2011.
- Physical description
- p. cm.
- Texts in computer science.
- Introduction Image Formation Image Processing Feature Detection and Matching Segmentation Feature-based Alignment Structure from Motion Dense Motion Estimation Image Stitching Computational Photography Stereo Correspondence 3D Reconstruction Image-based Rendering Recognition.
- (source: Nielsen Book Data)9781848829343 20160605
- Publisher's Summary
- 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: 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; and, 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.
(source: Nielsen Book Data)9781848829343 20160605
- Computer vision.
- Publication date
- Texts in computer science
- Electronic reproduction. New York : Springer, 2010. Mode of access: World Wide Web. System requirements: Web browser. Title from title screen (viewed on Nov. 8, 2010). Access may be restricted to users at subscribing institutions.
- 9781848829350 (electronic bk.)
- 1848829353 (electronic bk.)