Data Fusion for Sensory Information Processing Systems

Name: Data Fusion for Sensory Information Processing Systems
Brand: Springer
SKU: 9780792391203
Price: 3937 CZK
Availability: InStock

Autor: James J. Clark, Alan L. Yuille

Jazyk:

Vazba: Pevná

Vydavatel: Springer

Dostupnost: Skladem u dodavatele v malém množství

Odesíláme za 13-18 dnů

3 937 Kč

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

Informace o knize

Autor

James J. Clark, Alan L. Yuille

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

1990

Stránek

244

EAN

9780792391203

ISBN

0792391209

Enbook ID

01398041

Vydavatel

Springer

Hmotnost

1220

Rozměry

156 x 234 x 17

Kompletní 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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