Peter J. Olver; Allen Tannenbaum Mathematical Methods in Computer Vision 9781441918260

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Автор: Peter J. Olver; Allen Tannenbaum
Название: Mathematical Methods in Computer Vision
ISBN: 9781441918260
Издательство: Springer
Классификация:

Оптимизация

Графические и цифровые медиа-приложения

Теория вычислительных машин и систем, кибернетика

ISBN-10: 1441918264
Обложка/Формат: Paperback
Страницы: 156
Вес: 0.25 кг.
Дата издания: 29.11.2010
Серия: The IMA Volumes in Mathematics and its Applications
Язык: English
Размер: 234 x 156 x 9
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This volume comprises some of the key work presented at two IMA Workshops on Computer Vision during fall of 2000. Recent years have seen significant advances in the application of sophisticated mathematical theories to the problems arising in image processing. Basic issues include image smoothing and denoising, image enhancement, morphology, image compression, and segmentation (determining boundaries of objects-including problems of camera distortion and partial occlusion). Several mathematical approaches have emerged, including methods based on nonlinear partial differential equations, stochastic and statistical methods, and signal processing techniques, including wavelets and other transform theories. Shape theory is of fundamental importance since it is the bottleneck between high and low level vision, and formed the bridge between the two workshops on vision. The recent geometric partial differential equation methods have been essential in throwing new light on this very difficult problem area. Further, stochastic processes, including Markov random fields, have been used in a Bayesian framework to incorporate prior constraints on smoothness and the regularities of discontinuities into algorithms for image restoration and reconstruction. A number of applications are considered including optical character and handwriting recognizers, printed-circuit board inspection systems and quality control devices, motion detection, robotic control by visual feedback, reconstruction of objects from stereoscopic view and/or motion, autonomous road vehicles, and many others.

Mathematical Methods in Computer Vision, Peter J. Olver; Allen Tannenbaum