Humans can recognize familiar, but unexpected objects, belonging to highly variable object classes, in a fraction of a second — a few hundred cycles of the neural visual "hardware". This position paper suggests computational techniques that could serve as a basis for this type of object recognition if implemented on appropriate parallel hardware.
No takes yet. Share an insight, caveat, or question.
Azriel Rosenfeld (1987) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: