Precision Landmark Location for Machine Vision and Photogrammetry (eBook)

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 Cramér-Rao Lower Bound (CRLB).

The 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, and more.

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.

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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 Cramer Rao 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.