Data Fusion for Sensory Information Processing Systems

Data Fusion for Sensory Information Processing Systems by James J. Clark, Alan L. Yuille.

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 distillin...

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Bibliographic Details
Main Authors: Clark, James J. (Author), Yuille, Alan L. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 1990.
Edition:1st ed. 1990.
Series:The Springer International Series in Engineering and Computer Science, 105
Springer eBook Collection.
Subjects:
Control engineering.
Robotics.
Mechatronics.
Optical data processing.
Artificial intelligence.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 1 Introduction: The Role of Data Fusion in Sensory Systems
  • 2 Bayesian Sensory Information Processing
  • 3 Information Processing Using Energy Function Minimization
  • 4 Weakly vs. Strongly Coupled Data Fusion: A Classification of Fusional Methods
  • 5 Data Fusion Applied to Feature Based Stereo Algorithms
  • 6 Fusing Binocular and Monocular Depth Cues
  • 7 Data Fusion in Shape from Shading Algorithms
  • 8 Temporal Aspects of Data Fusion
  • 9 Towards a Constraint Based Theory of Sensory Data Fusion.

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