| Evidential Reasoning for Object Recognition (2007) | |||||||||||||||||
Abstract | |||||||||||||||||
| Evidential reasoning is the central problem of selective visual perception. It consists of gathering the evidence and integrating the information from successive fixations. Both data-driven and knowledge-driven influences in selecting the areas of interest and gathering the evidence are studied as well as their cooperative function. We use the Bayesian networks for knowledge representation and a decision theoretic approach in selecting where to shift the attention and for integrating the information from successive fixations. Depending upon the task the system decides what information to gather from the scale-space decomposition of an input image. | |||||||||||||||||
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