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Precision Landmark Location for Machine Vision and Photogrammetry
Details
The applications of image-based measurement are many and various: image-guided surgery, mobile-robot navigation, component alignment and photogrammetry, among others.
This book addresses the problem of measurement error associated with determining the location of landmarks in images. The least possible photogrammetric uncertainty in a given situation is determined using the CramérRao Lower Bound (CRLB).
This monograph provides the reader with: the most complete treatment to date of precision landmark location and the engineering aspects of image capture and processing; detailed theoretical treatment of the CRLB; a software tool for analyzing the potential performance-specific camera/lens/algorithm configurations; two novel algorithms which achieve precision very close to the CRLB; a method for determining the accuracy of landmark location; a downloadable MATLAB® package to assist the reader with applying theoretically-derived results to practical engineering configurations.
Shows the reader how to derive theoretical limits to the precision of landmark identification in electronic images MATLAB® package assists the reader with applying theoretical results in real engineering systems Steps outside the usual earth-sciences and civil-engineering base of photogrammetry to improve animation, medical imaging and robotic vision applications Includes supplementary material: sn.pub/extras
Autorentext
José A. Gutiérrez is Principal Engineer at the Innovation Center of Eaton Corporation, leading the technical activities in Wireless Sensor Networks. He received the B.S. degree in electronic engineering from Universidad Simon Bolivar in Caracas, Venezuela, in 1991, and the M.S. in electrical engineering from the University of Wisconsin - Milwaukee in 2001. Currently he is a Ph.D. candidate at the same institution. Mr. Gutiérrez is an active member of the IEEE LAN/MAN Standards Committee and Editor in-Chief of the IEEE 802.15 Working Group, Task Group 4, focused in the development of Low-Rate Wireless Personal Area Networks. His areas of expertise include control systems, wireless communication, networking, information theory, bioelectronics, and standards development. He has two patents filed and is author of several papers in the areas of automatic control, artificial intelligence, and wireless communications.
Inhalt
Physics of Digital Image Formation.- Analytic Framework for Landmark Location Uncertainty.- Model-based Landmark Location Estimators.- Two-dimensional Noncollocated Numerical Integration.- Computational Tools.- Experimental Validation.- Studies of Landmark Location Uncertainty.- Conclusions.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09781846289125
- Sprache Englisch
- Auflage 2008
- Größe H241mm x B160mm x T15mm
- Jahr 2007
- EAN 9781846289125
- Format Fester Einband
- ISBN 1846289122
- Veröffentlichung 23.10.2007
- Titel Precision Landmark Location for Machine Vision and Photogrammetry
- Autor Brian S. R. Armstrong , José A. Gutierrez
- Untertitel Finding and Achieving the Maximum Possible Accuracy
- Gewicht 436g
- Herausgeber Springer London
- Anzahl Seiten 176
- Lesemotiv Verstehen
- Genre Informatik