專家談到人臉識(shí)別系統(tǒng)正在大受歡迎，但是它并不是很可靠的...
They did that by removing "unhelpful" aspects of the images, such as lighting effects, and highlighting structural features of the face, according to Jenkins. "So, what we were able to show is that if you take these highly variable images, and apply the averaging process to them, then the recogniti…
根據(jù)Jenkins的說(shuō)法，他們把圖片中沒用的方面去除，比如燈光效果，這樣就能突出面部的結(jié)構(gòu)特點(diǎn)了。 “所以，我們能表示的是，如果你運(yùn)用平均方法處理這些千變?nèi)f化的圖片，那么識(shí)別性能就會(huì)立即明顯改善。在我們的研究報(bào)告中，識(shí)別標(biāo)準(zhǔn)照片的性能從54％上升到100％。因此，這是真正的巨大的飛躍?！?Jenkins認(rèn)為，“平均臉”照…