Previously, I focused on sets of images, for example taking multiple images from video or combining images from different angles, with one camera looking from the left, one from the right and so on,” he says. “You combine all these images and produce an image set, a composite representation of the face. Image sets provide more accuracy and are applicable in more realistic scenarios”. He says there are many sources from where researchers can get facial image sets of a person, including YouTube videos, Google Images, multiple surveillance cameras and personal photo albums. “After sampling different sets of images from different cameras, the next step was to go in different wave lengths,” he says. “Rather than sampling different poses from different cameras, let’s go into the other dimension which is the wave length or the frequency domain, viewing the images in different colours. That’s what we’re doing now with satellite technology.
Western Australia researcher proposes deploying cameras normally used for satellite imaging to enhance facial recognition technology.