Perception of age in adult Caucasian male faces: computer graphic manipulation of shape and colour information
1995; Royal Society; Volume: 259; Issue: 1355 Linguagem: Inglês
10.1098/rspb.1995.0021
ISSN1471-2954
Autores Tópico(s)Aesthetic Perception and Analysis
ResumoRestricted accessMoreSectionsView PDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinked InRedditEmail Cite this article Burt D. Michael and Perrett David I. 1995Perception of age in adult Caucasian male faces: computer graphic manipulation of shape and colour informationProc. R. Soc. Lond. B.259137–143http://doi.org/10.1098/rspb.1995.0021SectionRestricted accessArticlePerception of age in adult Caucasian male faces: computer graphic manipulation of shape and colour information D. Michael Burt Google Scholar Find this author on PubMed Search for more papers by this author and David I. Perrett Google Scholar Find this author on PubMed Search for more papers by this author D. Michael Burt Google Scholar Find this author on PubMed and David I. Perrett Google Scholar Find this author on PubMed Published:22 February 1995https://doi.org/10.1098/rspb.1995.0021AbstractThis study investigated visual cues to age by using facial composites which blend shape and colour information from multiple faces. Baseline measurements showed that perceived age of adult male faces is on average an accurate index of their chronological age over the age range 20-60 years. Composite images were made from multiple images of different faces by averaging face shape and then blending red, green and blue intensity (RGB colour) across comparable pixels. The perceived age of these composite or blended images depended on the age bracket of the component faces. Blended faces were, however, rated younger than their component faces, a trend that became more marked with increased component age. The techniques used provide an empirical definition of facial changes with age that are biologically consistent across a sample population. The perceived age of a blend of old faces was increased by exaggerating the RGB colour differences of each pixel relative to a blend of young faces. This effect on perceived age was not attributable to enhanced contrast or colour saturation. Age-related visual cues defined from the differences between blends of young and old faces were applied to individual faces. These transformations increased perceived age.FootnotesThis text was harvested from a scanned image of the original document using optical character recognition (OCR) software. As such, it may contain errors. Please contact the Royal Society if you find an error you would like to see corrected. Mathematical notations produced through Infty OCR. 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