A Neural Computation Model Based on nCRF and Reverse Control Mechanism - Developing Concepts in Applied Intelligence - page 50

response in order to detect contours of large-area image at this moment. After the
increase of the contrast or the brightness, the nCRF will accordingly weaken the RF
responses in order to detect the difference of the image inside and outside the RF. In
large-area integration, this dynamic characteristic of nCRF provides necessary
condition for visual system detecting Fig.-ground in a variety of stimulus conditions.
Our current research shows the dynamic characteristic that RF varies with different
stimuli.
Now there are two common senses in computer vision, saying that (a) an animal's
vision system is much cleverer than a machine one, and (b) object recognition needs
the help from higher level knowledge. To (a), the advantage of a biological vision
system that is it has a systematic architecture with rich knowledge and rich layers of
representing and processing. Fig. 4 shows the reason. To (b), what is knowledge
needs to be clarified.
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