Visual 3D Reconstruction System Based on RGBD Camera
Guangcai Zhang, Yu Jiao, Wang Zhihao, Gao Xiuqian, He Jirong
- Year
- 2020
- Citations
- 5
Abstract
With the development of computer science and artificial intelligence, the industrial field is gradually becoming unmanned. In this paper, a 3D point cloud image is created with an RGBD camera, the scene is restored through dense 3D reconstruction, and then the color information in the 3D point cloud image is recognized to obtain the 3D coordinates of the area to be painted. Finally, the coordinates are sent to the painting robot to achieve the purpose of automatic painting. This article describes the visual 3D reconstruction part. Unlike the current painting system, this system can automatically obtain the position information without the need to fix the position of the object. In the end, the system can realize the dense reconstruction of 3D point clouds of objects, which provides a certain reference for industrial unmanned management.
Keywords
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