Bet365 lotto review The official website of the National Science Research Center of France released a message on September 22,,From the research center、France's Paris Higher Normal University、A cognitive scientific research team composed of researchers from the French Institute of Health and Medical Research and Paris Politburo,Use a facial information analysis processing algorithm,Analysis of some of the character expressions in European painting works in the 14th-21th century。Research Discovery,Expressing over time,The sense of trust and sympathy for the character's expression in the painting continues to increase。
Researchers said,Through various studies in the past,Historians have recognized,People have more and more trust others。But still lacks the literature and materials related to quantitative records of this phenomenon。For this,The research team designed a facial analysis algorithm,To evaluate the trust or sympathy of people's facial Bet365 lotto review expressions。When designing algorithms,Researchers refer to the age in the relevant academic literature、Gender、Factors such as facial features and other factors on human expressions,Especially these features on the impact of expressions on trust。At the beginning of the experiment,They also use some human face photos that have been evaluated by other research teams to verify this algorithm。
The research team analyzed the 1962 portrait of portrait paintings drawn by 1962 in the Portrait Art Museum of the British National Portrait Art Museum.,Expressing over time,The trust between Bet365 lotto review people is getting higher and higher。They also analyzed 4106 works found from the "Online Art Museum" database,It also has the same conclusion,These works come from 19 European countries,Created between 1360 and 1918。
Researchers think,The growth trend of trust in portrait expressions is consistent with the growth trend of GDP per capita GDP。The development of the economy and the improvement of living standards are the main reasons for the characters in the painting to reflect the increasing social trust。
(Yao Xiaodan/Compilation)
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