Name: Data Fusion for Sensory Information Processing Systems (en Inglés)
Price: 168.52 USD
Availability: InStock
Author: Clark, James J. ; Yuille, Alan L.
ISBN: 9781441951267

portada Data Fusion for Sensory Information Processing Systems (en Inglés)

Data Fusion for Sensory Information Processing Systems (en Inglés)

Formato

Libro Físico

Autor

James J. Clark

Alan L. Yuille

Editorial

Springer

Año

2010

Idioma

Inglés

N° páginas

244

Encuadernación

Tapa Blanda

ISBN

1441951261

ISBN13

9781441951267

Categorías

Robótica
Reconocimiento de formas
Visión por ordenador

Data Fusion for Sensory Information Processing Systems (en Inglés)

James J. Clark (Autor) · Alan L. Yuille (Autor) · Springer · Tapa Blanda

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Reseña del libro "Data Fusion for Sensory Information Processing Systems (en Inglés)"

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.