2012
DOI: 10.1080/13506285.2012.743936
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Understanding the multiframe caricature advantage for recognizing facial composites

Abstract: Eyewitnesses often construct a ''composite'' face of a person they saw commit a crime, a picture that police use to identify suspects. We described a technique (Frowd, Bruce, Ross, McIntyre, & Hancock, 2007) based on facial caricature to facilitate recognition of these images: Correct naming substantially improves when composites are seen with progressive positive caricature, where distinctive information is enhanced, and then with progressive negative caricature, the opposite. Over the course of four experime… Show more

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Cited by 16 publications
(17 citation statements)
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“…Brace et al, 2000;Frowd et al, 2008). For the same reasons as ours, recent research (e.g., Frowd et al, 2012c) has used regression techniques to analyse naming responses.…”
Section: Notesmentioning
confidence: 80%
“…Brace et al, 2000;Frowd et al, 2008). For the same reasons as ours, recent research (e.g., Frowd et al, 2012c) has used regression techniques to analyse naming responses.…”
Section: Notesmentioning
confidence: 80%
“…It is under these circumstances that identifications arising from feature-based composites tend to be infrequent in police investigations (Frowd, Hancock et al, 2011), an observation supported by laboratory research (e.g. Frowd, Carson, Ness, McQuiston et al, 2005;Frowd, McQuistonSurrett et al, 2007;Frowd et al, 2010;Koehn & Fisher, 1997;Kovera, Penrod, Pappas & Thill, 1997).…”
Section: Problems With Face Constructionmentioning
confidence: 89%
“…A more promising option might be to include both in one presentation. We have previously had some success in using animation with caricature to search for the optimal level of distinctiveness for facial composite recognition (Frowd, Bruce, Ross, McIntyre, & Hancock, 2007;Frowd, Skelton, Atherton, Pitchford, Bruce, et al, 2012). Future evaluation of the misaligned facial composite effect will explore the efficacy of an animated sequence that misaligns the face image and then realigns it across a sequence of frames.…”
Section: Discussionmentioning
confidence: 99%