Image augmentation for analytics

A method comprising:

• obtaining a first image depicting a face of a user;
• determining, based on the first image and using a prediction model, a UV face position map including a two-dimensional (2D) representation of a three-dimensional (3D) structure of the face;
• generating, based on the UV face position map, a 3D model of the face;
• generating an extended 3D model of the face by extending the 3D model of the face to include one or more regions beyond a boundary of the 3D model of the face, the one or more regions comprising a forehead region;
• and
• generating, based on the extended 3D model of the face, a second image depicting the face in a rotated position relative to a position of the face in the first image.

A non-transitory computer-readable medium having stored thereon instructions which, when executed by one or more processors, cause the one or more processors to:

• obtain a first image depicting a face of a user;
• determine, based on the first image and using a prediction model, a UV face position map including a two-dimensional (2D) representation of a three-dimensional (3D) structure of the face;
• generate, based on the UV face position map, a 3D model of the face;
• generate an extended 3D model of the face by extending the 3D model of the face to include one or more regions beyond a boundary of the 3D model of the face, the one or more regions comprising a forehead region;
• and
• generate, based on the extended 3D model of the face, a second image depicting the face in a rotated position relative to a position of the face in the first image.