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Once the human vision system has seen a 3D object from a few different viewpoints, depending on the nature of the object, it can generally recognize that object from new arbitrary viewpoints. This useful interpolative skill relies on the highly complex pattern matching systems in the human brain, but the general idea can be applied to a computer vi...

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Citations

... Fuzzy associative memory models, introduced by Kong and Kosko [15], [16], have been employed to store rules for classifications based on fuzzy LVQ. This is the approach we have taken in our previous work on the problem of 2D and 3D object recognition [17]- [19]. ...
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