Retrieved February 18, from www. In the study, participants were asked to compare a high quality image with either a low quality pixelated image or one created using the image averaging method, and determine whether they depicted the same person or two different people. Materials provided by University of Lincoln. Results showed that accuracy was significantly higher when viewing an average combining pixelated images, rather than a single pixelated image. They found that 99 percent of the face images can still be They compared how effectively humans and computer facial recognition systems could identify people from high quality images, pixelated images, and face averages. Combining multiple poor quality CCTV images into a single, computer-enhanced composite could improve the accuracy of facial recognition systems used to identify criminal suspects, new research suggests. Ritchie, David White, Robin S. She said: "We know that not all CCTV systems have the luxury of high quality cameras, meaning that face identifications are often being made from poor quality images.
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