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Books > Computing & IT > Applications of computing > Image processing
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Landmark-Based Image Analysis - Using Geometric and Intensity Models (Hardcover, 2001 ed.)
Loot Price: R3,218
Discovery Miles 32 180
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Landmark-Based Image Analysis - Using Geometric and Intensity Models (Hardcover, 2001 ed.)
Series: Computational Imaging and Vision, 21
Expected to ship within 10 - 15 working days
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Landmarks are preferred image features for a variety of computer
vision tasks such as image mensuration, registration, camera
calibration, motion analysis, 3D scene reconstruction, and object
recognition. Main advantages of using landmarks are robustness w.
r. t. lightning conditions and other radiometric vari ations as
well as the ability to cope with large displacements in
registration or motion analysis tasks. Also, landmark-based
approaches are in general com putationally efficient, particularly
when using point landmarks. Note, that the term landmark comprises
both artificial and natural landmarks. Examples are comers or other
characteristic points in video images, ground control points in
aerial images, anatomical landmarks in medical images, prominent
facial points used for biometric verification, markers at human
joints used for motion capture in virtual reality applications, or
in- and outdoor landmarks used for autonomous navigation of robots.
This book covers the extraction oflandmarks from images as well as
the use of these features for elastic image registration. Our
emphasis is onmodel-based approaches, i. e. on the use of
explicitly represented knowledge in image analy sis. We principally
distinguish between geometric models describing the shape of
objects (typically their contours) and intensity models, which
directly repre sent the image intensities, i. e., the appearance of
objects. Based on these classes of models we develop algorithms and
methods for analyzing multimodality im ages such as traditional 20
video images or 3D medical tomographic images."
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