Data Fusion for Sensory Information Processing Systems

Name: Data Fusion for Sensory Information Processing Systems
Brand: Springer
SKU: 9780792391203
Price: 162.98 EUR
Availability: InStock

Autor: James J. Clark, Alan L. Yuille

Jazyk:

Väzba: Pevná

Vydavateľ: Springer

Dostupnosť: Skladom u dodávateľa v malom množstve

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162.98 €

The science associated with the development of artificial sen sory systems is occupied primarily wit...

Informácie o knihe

Autor

James J. Clark, Alan L. Yuille

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

1990

Stránok

244

EAN

9780792391203

ISBN

0792391209

Enbook ID

01398041

Vydavateľ

Springer

Hmotnosť

1220

Rozmery

156 x 234 x 17

Kompletný popis

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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