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- W3138354997 startingPage "302" @default.
- W3138354997 abstract "Pattern recognition system developers have looked in multiple directions over the years and designed a broad spectrum of methodologies for face identification and verification, both in 2D and 3D. These techniques rely on sound methods and experimentations, and currently give high to excellent recognition rates in terms of performance. Nonetheless, it seems that the most performing face recognition system, especially when familiar faces are involved, is still the human being, able to detect known faces in the wild, in presence of occlusions or extreme light contrast, caricatures, sketches, partial views, blurred images. This is one of the manifold reasons why the human visual system at eye and brain level and face perception techniques are currently being studied by neuroscientists and psychologists, with the aim to uncover the processes underneath the human vision. The purpose of this work is to review the current literature about perception foundations and related biologically-inspired methodologies for face recognition." @default.
- W3138354997 created "2021-03-29" @default.
- W3138354997 creator A5053290964 @default.
- W3138354997 creator A5058849753 @default.
- W3138354997 creator A5090402903 @default.
- W3138354997 date "2021-07-01" @default.
- W3138354997 modified "2023-09-29" @default.
- W3138354997 title "Face perception foundations for pattern recognition algorithms" @default.
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