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Data Fusion for Sensory Information Processing Systems (Hardcover, 1990 ed.)
Loot Price: R4,647
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Data Fusion for Sensory Information Processing Systems (Hardcover, 1990 ed.)
Series: The Springer International Series in Engineering and Computer Science, 105
Expected to ship within 10 - 15 working days
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The science associated with the development of artificial sen sory
systems is occupied primarily with determining how information
about the world can be extracted from sensory data. For example,
computational vision is, for the most part, concerned with the de
velopment of algorithms for distilling information about the world
and recognition of various objects in the environ (e. g.
localization ment) from visual images (e. g. photographs or video
frames). There are often a multitude of ways in which a specific
piece of informa tion about the world can be obtained from sensory
data. A subarea of research into sensory systems has arisen which
is concerned with methods for combining these various information
sources. This field is known as data fusion, or sensor fusion. The
literature on data fusion is extensive, indicating the intense
interest in this topic, but is quite chaotic. There are no accepted
approaches, save for a few special cases, and many of the best
methods are ad hoc. This book represents our attempt at providing a
mathematical foundation upon which data fusion algorithms can be
constructed and analyzed. The methodology that we present in this
text is mo tivated by a strong belief in the importance of
constraints in sensory information processing systems. In our view,
data fusion is best un derstood as the embedding of multiple
constraints on the solution to a sensory information processing
problem into the solution pro cess."
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