Szeliski Computer Vision 9781848829343

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Автор: Szeliski
Название: Computer Vision
Перевод названия: Сжельски: Визуализация с помощью компьютеров
ISBN: 9781848829343
Издательство: Springer
Классификация:

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ISBN-10: 1848829345
Обложка/Формат: Hardback
Страницы: 832
Вес: 2.44 кг.
Дата издания: 19.10.2010
Серия: Texts in Computer Science
Язык: English
Издание: 1st Ed.
Иллюстрации: 560 illustrations, color; 14 illustrations, black and white; xx, 812 p. 574 illus., 560 illus. in color.
Размер: 286 x 221 x 35
Читательская аудитория: Professional & vocational
Подзаголовок: Algorithms and applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 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; supplies supplementary course material for students at the associated website, http://szeliski.org/Book/. 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.

Computer Vision, Szeliski