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Posture estimation learning system, posture estimation learning method, and data creation program for machine learning

机译:姿势估算学习系统,姿势估计学习方法和机器学习数据创建程序

摘要

PROBLEM TO BE SOLVED: To provide a posture estimation learning system capable of efficiently creating machine learning data using data in a virtual space and executing posture estimation of a living body. A posture estimation data creation device 10A of a posture estimation learning system 1 includes an imaging unit 2 and a machine learning data creation unit 3 that creates machine learning data using a three-dimensional model of a living body. The posture estimation device 10B estimates the posture of the living body in the input image based on the machine learning unit 5 that learns the posture estimation of the living body based on the machine learning data and the posture estimation learning model 6 obtained by the machine learning. The posture estimation unit 7 is provided. The machine learning data creation unit 3 uses the three-dimensional skeleton data obtained by imaging the three-dimensional model by the imaging unit 2, the two-dimensional skeleton data obtained by projecting the three-dimensional skeleton data onto the two-dimensional coordinates, and the captured image. 3. Chroma key background image data Q in which the 3D model part and the background part are separated is created, and these are used for creating machine learning data. [Selection diagram] Fig. 1
机译:要解决的问题:提供一种能够在虚拟空间中使用数据的数据有效地创建机器学习数据的姿势估计学习系统,并执行活体的姿势估计。姿势估计学习系统1的姿势估计数据创建设备10a包括成像单元2和机器学习数据创建单元3,其使用活体的三维模型创建机器学习数据。姿势估计装置10B基于机器学习单元5估计基于机器学习单元的机器学习单元5基于机器学习数据和机器学习获得的姿势估计学习模型6的机器学习单元5在输入图像中估计活体的姿势。 。提供姿势估计单元7。该机器学习数据创建单元3使用通过成像单元2对三维模型进行成像而获得的三维骨架数据,通过将三维骨架数据投影到二维坐标上而获得的二维骨架数据,和捕获的图像。 3.创建了Chroma键背景图像数据Q,其中共同分离3D模型部分和背景部分,这些部分用于创建机器学习数据。 [选择图]图1

著录项

  • 公开/公告号JP6868875B1

    专利类型

  • 公开/公告日2021-05-12

    原文格式PDF

  • 申请/专利权人 株式会社アイエンター;

    申请/专利号JP20200199646

  • 发明设计人 黒田 英慈;林 将寛;

    申请日2020-12-01

  • 分类号G06T7;G06T7/70;

  • 国家 JP

  • 入库时间 2022-08-24 18:38:58

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