Researchers
conducted an experiment where image of bystanders were extracted from the
corneal reflections of the photo images of an individual.
Scientists have
developed a new forensics technique in which they were able to extract images
from the corneal reflections of an individual of people standing nearby. The
technique can be useful while conducting criminal investigations.Researchers
Rob Jenkins from the University of York in Britain, and collaborator Christie
Kerr, from the University of Glasgow, conducted the experiment in which they
found that faces can be reconstructed from images taken of an individual with
commercial digital cameras and enhanced with off-the-shelf image-processing
software.
For the
experiment, the scientists used a high-end digital camera and sat five
volunteers for a passport-photo-like shot, using studio lighting. All the five
people where in the room even when not being clicked and stood close to the
photographer to be included in the reflection off the subject's corneas.
Then they asked
the subjects to identify images from the reflections as well as the original
digital images. Nine out of 10 volunteers were able to correctly identify from
the corneal images. The group which was familiar with the five subjects were
able to identify the persons with 84 percent success rate and those unfamiliar
with the subjects in the photographs were able to identify with 71 percent
success rate.
The researchers
added that this forensics technology can be used in crimes where the victims
are photographed, like abductions or child sex abuse. The reflections in the
eyes of the photographic subject could help in identifying perpetrators. They
added that the images of people retrieved from cameras seized as evidence
during criminal investigations may be used to piece together networks of
associates or to link individuals to particular locations.
"The pupil
of the eye is like a black mirror. To enhance the image, you have to zoom in
and adjust the contrast. A face image that is recovered from a reflection in
the subject's eye is about 30,000 times smaller than the subject's face. Our
findings thus highlight the remarkable robustness of human face recognition, as
well as the untapped potential of high-resolution photography," Jenkins
said.
"You could
think of it as a foray into extreme facial recognition. Yes, the camera can
resolve the face, and yes, the brain can identify it," he writes,
"but both systems are pushed to their limits, and neither could perform
the feat alone."