A DYNAMIC IMAGE MATCHING MODEL AND ARCHITECTURE FOR SMART DEVICES
Secret image sharing is a technique for protecting image by splitting secret image into many
shadow images that are transmitted and stored separately. In the scheme proposed in this paper each
image is get assembled in an disorder at each entry of user. Exploit local information alone, and
further evaluate if existing implementations of this computational model suffice to match human
performance. Surprisingly, in our series of human studies and machine experiments, we find that a
simple bag-of-words based majority-vote-like strategy is an accurate functional model of how
humans recognize jumbled images.
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