What is the important basis of face recognition? Probably a clear face photo? No, no, a new study by the Max Planck Institute in Germany may have changed your mind.
The staff of the Institute stated that they have created a brand-new face recognition algorithm called Faceless Recognition System (FRS), that is, faceless recognition. In other words, the system can identify individuals by blurring photographs.
First, the researchers will use a clear picture for the system to learn. FRS will analyze the parameters such as facial features and head proportions in the photos. Then if the photo is blurred, it has a 69.6% probability to recognize the character. And if there are enough clear pictures for FRS to learn, its success rate can reach 91.5%.
However, if the face is covered by black boxes, the recognition rate of the machine will be reduced to 14.7%, but this is also three times higher than the human recognition success rate. It is alleged that this technology is conducive to the identification of criminals by the executive authorities from the massive pictures of the database.
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