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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 Cramér–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: • 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; • an experimental method for determining the accuracy of landmark location; • downloadable MATLAB® 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.

Computer vision. --- Photogrammetry --- Digital techniques. --- Digital photogrammetric systems --- Digital photogrammetry --- DP (Digital photogrammetry) --- DPS (Digital photogrammetric systems) --- Digital electronics --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Radiology, Medical. --- Statistics. --- Image Processing and Computer Vision. --- Control, Robotics, Mechatronics. --- Remote Sensing/Photogrammetry. --- Signal, Image and Speech Processing. --- Imaging / Radiology. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Clinical radiology --- Radiology, Medical --- Radiology (Medicine) --- Medical physics --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Optical data processing. --- Control engineering. --- Robotics. --- Mechatronics. --- Remote sensing. --- Signal processing. --- Image processing. --- Speech processing systems. --- Radiology. --- Statistics . --- Radiological physics --- Physics --- Radiation --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Remote-sensing imagery --- Remote sensing systems --- Remote terrain sensing --- Sensing, Remote --- Terrain sensing, Remote --- Aerial photogrammetry --- Aerospace telemetry --- Detectors --- Space optics --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment

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Computer vision --- Photogrammetry --- Digital techniques

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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 Cramér-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: ¢ 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; ¢ an experimental method for determining the accuracy of landmark location; ¢ downloadable MATLAB® 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.

Geodesy. Cartography --- Statistical physics --- Physical methods for diagnosis --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- beeldverwerking --- statistische kwaliteitscontrole --- fotogrammetrie --- industriële statistieken --- automatisering --- radiologie --- medische beeldvorming --- signaalverwerking

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This third edition of "Low-Rate Wireless Personal Area Networks: Enabling Wireless Sensors with IEEE 802.15.4" is the newest handbook in the IEEE Standards Wireless Networks Series. This updated book now includes detailed information from the revised IEEE Std 802.15.4-2006, which includes the amendment IEEE 802.15.4b. IEEE Std 802.15.4 was developed to address low-cost and low-power design to enable applications in the fields of industrial, agricultural, vehicular, residential, and medical sensors and actuators. This book offers the reader an insider's view of the standard. Features include an overview of the standard, the motivation and vision behind it, background on the technology, technical features and components, application scenarios, and material not covered in the standard related to the network layer functionality for applications. The book also focuses on implementation and system design considerations, including an analysis of system-level, real-world issues that will be important for prospective implementers to consider. Presented in a concise and easy to read format by experts intimately involved in the development and writing of the standard, this guide is an invaluable resource to the standard for those interested in the field of "simple" wireless connectivity. Low-Rate Wireless Personal Area Networks, 2nd Edition, is "must read" for anyone who wants to fully understand the inner-workings and possibilities of the IEEE 802.15.4 standard.

Wireless LANs --- Sensor networks --- Personal area networks (Computer networks) --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Telecommunications