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
To advance video facial identification for these and other applications, the National Institute of Standards and Technology conducted a large public test known as the Face in Video Evaluation
by Shilo Rea-Carnegie Mellon University News Office
Scientists used highly sophisticated brain imaging tools and computational methods to measure the real-time brain processes that convert the appearance of a face into the recognition of an individual
All of the algorithms suffered in accuracy when confronted with more distractions, but some fared much better than others
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