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

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 techniques 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 and deep learning of the object to be recognized. 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