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Abstract

Many applications in machine vision and photogrammetry involve taking measurements from images. Examples of image metrology applications include, in medicine: image-guided surgery andmultimode imaging; in robotics: calibration, object tracking, andmobile robot navigation; in industrial automation: component alignment, for example for electronic assembly, and reading 2-D bar codes; and in dynamic testing: measurements from high-speed images. In these applications, landmarks are detected and computer algorithms are used to determine their location in the image. When landmarks are located there is, of course, a degree of uncertainty in the measurement. This uncertainty is the subject of this work.

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© 2008 Springer London

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(2008). Introduction. In: Precision Landmark Location for Machine Vision and Photogrammetry. Springer, London. https://doi.org/10.1007/978-1-84628-913-2_1

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  • DOI: https://doi.org/10.1007/978-1-84628-913-2_1

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84628-912-5

  • Online ISBN: 978-1-84628-913-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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