Estimating personal information from facial features

A method performed by one or more processors, the method comprising:

• a) preparing one or more model data, comprising:
• analyzing one or more images and detecting one or more faces in said images;
• determining at least six facial features related to each said detected face, wherein said facial features represent approximate locations of salient points within or surrounding said face;
• determining at least six facial properties from said facial features, wherein said facial properties are defined as scale-invariant ratios derived from said facial features;
• obtaining one or more personal information associated with said face;
• creating one or more model data from said facial properties and said personal information, wherein said facial properties are associated with said personal information;
• b) preparing one or more estimation models, comprising:
• accessing one or more said model data;
• analyzing said model data by using one or more data analysis methods, wherein said data analysis methods comprise analysis, classification or learning of correlation of one or more said facial properties and one or more said personal information in said model data;
• creating one or more estimation models derived from said data analysis;
• and
• c) producing one or more estimates of personal information, comprising:
• analyzing one or more images and detecting one or more faces in said images;
• determining at least six facial features related to each detected face, wherein said facial features correspond to the facial features used in the preparation of said model data;
• determining at least six facial properties from said facial features, wherein said facial properties correspond to the facial properties used in the preparation of said model data;
• accessing one or more said estimation models;
• analyzing said facial properties by using one or more said estimation models;
• producing one or more estimates of one or more personal information;

A system comprising one or more processors configured to perform operations comprising:

• a) preparing one or more model data, comprising:
• analyzing one or more images and detecting one or more faces in said images;
• determining at least six facial features related to each said detected face, wherein said facial features represent approximate locations of salient points within or surrounding said face;
• determining at least six facial properties from said facial features, wherein said facial properties are defined as scale-invariant ratios derived from said facial features;
• obtaining one or more personal information associated with said face;
• creating one or more model data from said facial properties and said personal information, wherein said facial properties are associated with said personal information;
• b) preparing one or more estimation models, comprising:
• accessing one or more said model data;
• analyzing said model data by using one or more data analysis methods, wherein said data analysis methods comprise analysis, classification or learning of correlation of one or more said facial properties and one or more said personal information in said model data;
• creating one or more estimation models derived from said data analysis;
• and
• c) producing one or more estimates of personal information, comprising:
• analyzing one or more images and detecting one or more faces in said images;
• determining at least six facial features related to each detected face, wherein said facial features correspond to the facial features used in the preparation of said model data;
• determining at least six facial properties from said facial features, wherein said facial properties correspond to the facial properties used in the preparation of said model data;
• accessing one or more said estimation models;
• analyzing said facial properties by using one or more said estimation models;
• producing one or more estimates of one or more personal information;