Abstract
Chapter 2 introduced the Bayesian approach to the processing of sensory information. One of the notable aspects of the Bayesian formulation is the ease with which constraints can be embedded. The constraint embedding was seen to be performed through the specification of suitable image formation and prior models. The image formation model typically involved the physical, and to a lesser extent natural, constraints, while the prior model typically involved natural and artificial constraints.
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© 1990 Springer Science+Business Media New York
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Clark, J.J., Yuille, A.L. (1990). Weakly vs. Strongly Coupled Data Fusion: A Classification of Fusional Methods. In: Data Fusion for Sensory Information Processing Systems. The Springer International Series in Engineering and Computer Science, vol 105. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2076-1_4
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DOI: https://doi.org/10.1007/978-1-4757-2076-1_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5126-7
Online ISBN: 978-1-4757-2076-1
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