Data Fusion for Sensory Information Processing Systems
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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.