How Optimal Depth Cue Integration Depends on the Task


Bayesian parameter estimation can be used to generate statistically optimal solutions to the problem of cue integration. However, the complexity and dimensionality of these solutions is frequently prohibitive. In this paper, we show how the complexity and performance characteristics of the optimal estimator for a task depend strongly on the detailed… (More)
DOI: 10.1023/A:1026557704054


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