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- W2337885402 abstract "The current way of composing composites for eyewitness purposes is not in line with the way how humans perceive and retrieve human faces from memory. Humans perceive and remember faces holistically; yet current facial composite systems require a feature-based approach. The aim of this research was to test to what extent the Reverse Correlation Image Classification (RC) technique could be used in compositing composites for eyewitness purposes compared to existing feature-based facial composite systems. In study 1 participants had to compose a composite using either the RC technique or a feature-based system. In study 2 participants rated the composites based on their resemblance to the original picture. Overall, the feature-based system composites had a higher mean resemblance rating compared to the composites produced by the Reverse Correlation technique. Even though the results are not fully in favour of the Reverse Correlation Image Classification technique, this technique does hold a potential for composing composites in the field of investigation." @default.
- W2337885402 created "2016-06-24" @default.
- W2337885402 creator A5077489761 @default.
- W2337885402 date "2016-01-01" @default.
- W2337885402 modified "2023-09-27" @default.
- W2337885402 title "Facial composites: a comparison between a traditional and new technique for conducting facial composite techniques used in the field of investigation" @default.
- W2337885402 hasPublicationYear "2016" @default.
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