Abstract
When using the point cloud model to identify and locate the target, there are some problems, such as low recognition accuracy and slow positioning speed. In order to solve these problems, this paper proposes a fast target recognition and location method based on point cloud model and graph model, which combines the characteristics of graph model processing speed, algorithm efficiency and recognition accuracy. Through the analysis of the characteristics of the target graph model, the pixel coordinates and rotation angle of the target grabbing points are calculated. After the transformation matrix and mapping relationship, the spatial coordinates of the point cloud model are obtained. The efficiency and accuracy of the method are verified by the recognition and positioning experiments on the robot target grabbing platform.
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