Searching for a Disguised Face? Some Progress
September 9, 2017
I read “Meeting the Disguised Face Challenge via Deep Convolutional Network.” My interest was piqued because I thought I had seen references to a breakthrough in facial recognition when the subjects of interest were wearing disguises.
I noted these comments in the write up:
- The method: “Deep convolutional networks are software creations organized into interconnected layers, much like the visual cortex, the part of the brain that processes visual information.”
- The accuracy: “The fewer facial key points it can see, the worse the software is at recognizing a person in a photo. It’s also thrown off by busy backgrounds, so can only identify a person wearing a cap, glasses and scarf 43 per cent of the time if they’re standing in front of a complicated background.”
- Work around: “Wearing a rigid mask that covers the whole face, for example, would give current facial recognition systems nothing to go on. And other researchers have developed patterned glasses that are specially designed to trick and confuse AI facial recognition systems.”
To sum up: Promising but real time facial recognition of people walking through an airport entrance remains a challenge. In addition to the computational demands, the false positives can quickly consume available resources.
Stephen E Arnold, September 9, 2017
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