Patent ID: 11861860
Assignee: AMAZON TECHNOLOGIES, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method, comprising:
receiving a first two-dimensional (“2D”) body image of a human body from a 2D camera;
processing the first 2D body image to segment a first plurality of pixels of the first 2D body image that represent the human body from a second plurality of pixels of the first 2D body image that do not represent the human body to produce a first silhouette of the human body;
processing the first silhouette using a convolutional neural network to produce a plurality of body dimensions corresponding to the human body;
generating, based at least in part on the first silhouette or at least some of the plurality of body dimensions, a personalized three-dimensional (“3D”) body model of the human body;
comparing the personalized 3D body model with at least one of the human body represented in the 2D body image or the first silhouette to determine a difference between the personalized 3D body model and at least one of the human body represented in the 2D body image or the first silhouette;
refining, based at least in part on the difference, the first silhouette to produce a refined silhouette; and
processing the refined silhouette using the convolutional neural network to produce a refined plurality of body dimensions corresponding to the human body.