ellauri147.html on line 859: In 2005, as an example of using image morphing methods to study the effects of averageness, imaging researcher Pierre Tourigny created a composite of about 30
ellauri147.html on line 860: faces to find out the current standard of good looks on the Internet. On the Hot or Not web site, people rate others' attractiveness on a scale of 1 to 10. An average score based on hundreds or even thousands of individual ratings takes only a few days to emerge. To make this hot or not palette of morphed images, photos from the site were sorted by rank and used SquirlzMorph to create multi-morph composites from them. Unlike projects like Face of Tomorrow, where the subjects are posed for the purpose, the portraits are blurry because the source images are of low resolution with differences in variables such as posture, hair styles and glasses, so that in this instance images could use only 36 control points for the morphs. A similar study was done with Miss Universe contestants, as shown in the averageness article, as well as one for age, as shown in the youthfulness article.
ellauri147.html on line 862: In physical attractiveness studies, averageness describes the physical beauty that results from averaging the facial features of people of the same gender and approximately the same age. The majority of averageness studies have focused on photographic overlay studies of human faces, in which images are morphed together. The term "average" is used strictly to denote the technical definition of the mathematical mean. An averaged face is not unremarkable, but is, in fact, quite good looking. Nor is it typical in the sense of common or frequently occurring in the population, though it appears familiar, and is typical in the sense that it is a good example of a face that is representative of the category of faces.
ellauri147.html on line 864: A possible evolutionary explanation for averageness is koinophilia, in which sexually-reproducing animals seek mates with primarily average features, because extreme and uncommon features are likely to indicate disadvantageous mutations.
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