Automatic human body parameter generation method based on machine learning

    公开(公告)号:US20240046542A1

    公开(公告)日:2024-02-08

    申请号:US18490722

    申请日:2023-10-19

    IPC分类号: G06T13/40 G16H10/20 G06N20/20

    CPC分类号: G06T13/40 G16H10/20 G06N20/20

    摘要: A method of automatically generating human-body parameters using machine learning, including the following steps: initializing a converting program, inputs of which are accurate human-body parameters and outputs of which are general body-shape descriptions; inputting several groups of accurate human-body parameters into the converting program, so as to obtain various combinations of general body-shape descriptions, which are to be used as training sets for subsequent steps; carrying out training through machine learning by using the previously obtained training sets, to obtain a mapping relationship between the general body-shape descriptions and parameters of a 3D human body model; recording gender, height, and weight information from a user and the user's responses to a series of preset general descriptive questions about body shape, and using the previously obtained mapping relationship, to output accurate human-body parameters representing an actual human body of the user.