Gutierrez JosГ© A., Armstrong Brian S.R. Precision Landmark Location for Machine Vision and Photogrammetry / Finding and Achieving the Maximum Possible Accuracy 9781846289125

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Автор: Gutierrez JosГ© A., Armstrong Brian S.R.
Название: Precision Landmark Location for Machine Vision and Photogrammetry / Finding and Achieving the Maximum Possible Accuracy
ISBN: 9781846289125
Издательство: Springer
Классификация:

Медицинская визуализация

Рентгенография и рентгеноскопия

Вероятность и статистика

Прикладная математика

Географические информационные системы (ГИС) и дистанционное зондирование

Электроника

Техника автоматического регулирования

Системы и технологии визуализации

Обработка изображений

ISBN-10: 1846289122
Обложка/Формат: Mixed media product
Страницы: 174
Вес: 0.42 кг.
Дата издания: 23.10.2007
Язык: English
Иллюстрации: 78 black & white illustrations, 11 colour illustrations, 8 black & white halftones, 11 colour illust
Размер: 23.62 x 15.75 x 1.52
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: The applications of image-based measurement are many and various: image-guided surgery, mobile-robot navigation, component alignment, part inspection and photogrammetry, among others. In all these applications, landmarks are detected and located in images, and measurements made from those locations.Precision Landmark Location for Machine Vision and Photogrammetry addresses the ubiquitous problem of measurement error associated with determining the location of landmarks in images. With a detailed model of the image formation process and landmark location estimation, the CramГ©rвЂ“Rao Lower Bound (CRLB) theory of statistics is applied to determine the least possible measurement uncertainty in a given situation.This monograph provides the reader with:вЂў the most complete treatment to date of precision landmark location and the engineering aspects of image capture and processing;вЂў detailed theoretical treatment of the CRLB;вЂў a software tool for analyzing the potential performance-specific camera/lens/algorithm configurations;вЂў two novel algorithms which achieve precision very close to the CRLB;вЂў an experimental method for determining the accuracy of landmark location;вЂў downloadable MATLABВ® package to assist the reader with applying theoretically-derived results to practical engineering configurations.All of this adds up to a treatment that is at once theoretically sound and eminently practical.Precision Landmark Location for Machine Vision and Photogrammetry will be of great interest to computer scientists and engineers working with and/or studying image processing and measurement. It includes cutting-edge theoretical developments and practical tools so it will appeal to research investigators and system designers.
Дополнительное описание: Формат: 235x155
Илюстрации: 78
Круг читателей: Engineers and scientists working in photo- and videogrammetry, in image metrology or in industrial automation also in human-motion analysis and motion capture for medicine, virtual reality and digital animation systems; corporate libraries of companies wo
Ключевые слова: MATLABВ®
Robotics
Medical Imaging
Photogrammetry
Signal Processing
Machine Vision
Computer Vision
Robotic Vision
Precision Landmark Location
Image Metrology
Artificial Landmarks
Cramer-Rao Bound
Язык: eng
Оглавление: Introduction.- Physics of Digital Image Formation.- Analytical Framework for Landmark Location Uncertainty.- Two-dimensional Unconstrained Numerical Integration.- Computational Tools.- Experimental Validation.- Results.- Conclusions.

Precision Landmark Location for Machine Vision and Photogrammetry / Finding and Achieving the Maximum Possible Accuracy, Gutierrez JosГ© A., Armstrong Brian S.R.