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Computerised averaged facial

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By merging together the head shots of 39 shooters from mass shootings from the past 34 years, the legal site FederalCharges. The site tracked down the photos and then "averaged" the images with Psychomorph, a facial-averaging software to come up with a terrifying composite image. The average gunman — with white skin, dark hair and dark eyes — could be anyone at your school, office or grocery store. Image: federalcharges. If you take photos of killers from school shootings specifically, a different photograph of a man emerges. This guy is a younger white man, who looks more like a high school or college student in his late teens or early 20s.
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This interactive shows that a beautiful face is greater than the sum of its parts

Computerised averaged facial
Computerised averaged facial
Computerised averaged facial
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Face Research ⇒ Demos ⇒ Make An Average

Now, a group of researchers has created the most advanced technique yet for building 3D facial models on the computer. The system could improve personalized avatars in video games, facial recognition for security, and—of course—Snapchat filters. When computers process faces, they sometimes rely on a so-called 3D morphable model 3DMM. The model represents an average face, but also contains information on common patterns of deviation from that average. Given such correlations, a computer can then characterize your unique face not by storing every point in a 3D scan, but by listing just a couple hundred numbers describing your deviation from an average face, including parameters that roughly correspond to age, gender, and length of face. To account for all the ways faces can vary, a 3DMM needs to integrate information on many faces. Until now that has required scanning lots of people and then painstakingly labeling all of their features.
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Why the dating game is taken at face value

This was first noticed in , when Francis Galton , cousin of Charles Darwin , overlaid photographic composite images of the faces of vegetarians and criminals to see if there was a typical facial appearance for each. When doing this, he noticed that the composite images were more attractive compared to any of the individual images. Researchers have replicated the result under more controlled conditions and found that the computer generated, mathematical average of a series of faces is rated more favorably than individual faces. Evolutionarily, it makes logical sense that sexual creatures should be attracted to mates who possess predominantly common or average features. So true.
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The Durham University-led study of heterosexual participants also found that young men and women look for complete opposites when it comes to relationships with the other sex. Men generally prefer women who they perceive are open to short-term sexual relationships whilst women are usually interested in men who appear to have potential to be long-term relationship material. The scientists say the research, which was funded by the Medical Research Council and the Economic and Social Research Council, shows people can use their perceptions to make more informed partner selection depending on the type of relationship they are pursuing. The study is a significant step in further understanding the evolution of partner choice, according to the research team from Durham, St Andrews and Aberdeen Universities. Participants were asked to judge the attractiveness and attitudes to sex of the opposite sex from their facial photographs.
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3 comment    

20.11.2018 0:28:05 Dijar:

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27.11.2018 11:24:35 Nizuru:

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