FIELD: computer equipment.
SUBSTANCE: invention relates to the computer equipment. Method for synthesis of a two-dimensional human image, in which three-dimensional coordinates of positions of human body joints are received, given in a camera coordinate system, wherein three-dimensional coordinates of positions of body joints set a human pose and a viewpoint of a two-dimensional image; using a trained machine learning predictor is predicted, a stack of body parts assignment maps and a stack of body parts coordinates maps based on three dimensional coordinates of the body joints, wherein the body parts coordinates map stack sets the coordinates of the human body parts pixels, the body parts assignment stack sets the weights, each weight indicating the probability that a specific pixel belongs to a specific part of the human body, wherein the trained machine learning predictor is trained for a plurality of different human postures and different human viewing points; retrieving from memory a previously initialized stack of texture maps for human body parts; and reconstructing a two-dimensional human image as a weighted combination of pixel values using a stack of body parts assignments, a stack of coordinates maps of parts of the body and a stack of texture maps.
EFFECT: technical result consists in providing the possibility of obtaining two-dimensional images of the entire human body in different positions and from different points of view using artificial intelligence.
6 cl, 4 dwg
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Authors
Dates
2020-02-06—Published
2019-02-21—Filed