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RGB-D 3D RGB-D Data and Deep Learning Based 3D Instance Segmentation Method and System

机译:RGB-D 3D RGB-D数据和基于深度学习的3D实例分段方法和系统

摘要

The embodiment relates to a 3D object region segmentation method and system using RGB-D data and deep learning. Specifically, these methods and systems utilize RGB-D cameras and recent deep learning technology to segment the object area in three dimensions to find the xyz and RGB values of the object. Specifically, it is characterized in that xyz and RGB color information of the object can be obtained by performing 3D object region segmentation of the object by RGB image and depth data of the object to be recognized and deep learning. Therefore, through this, the embodiment finally finds and expresses the 3D xyz data (ie, three-dimensional information) and RGB color information of the object while using the camera, in the case of robot vision monitoring such as automation, to display the object in three dimensions. recognize and distinguish
机译:该实施例涉及使用RGB-D数据和深度学习的3D对象区分割方法和系统。 具体而言,这些方法和系统利用RGB-D相机和最近的深度学习技术在三个维度中对象区域进行分割,以找到对象的XYZ和RGB值。 具体地,其特征在于,可以通过通过RGB图像和要识别的对象的深度数据和深度学习来实现对象的XYZ和RGB颜色信息。 因此,通过此,在使用相机的情况下,该实施例最后发现并表达对象的3D XYZ数据(即,三维信息)和RGB颜色信息,在机器人视觉监控(例如自动化)的情况下,以显示对象 三维。 认识并区分

著录项

  • 公开/公告号KR20210136502A

    专利类型

  • 公开/公告日2021-11-17

    原文格式PDF

  • 申请/专利权人 동명대학교산학협력단;

    申请/专利号KR20200054839

  • 发明设计人 안현식;

    申请日2020-05-08

  • 分类号G06T7/593;G06N3/04;G06N3/08;G06T7/136;G06T7/90;

  • 国家 KR

  • 入库时间 2022-08-24 22:30:36

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