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Proceedings Paper

Object detection and recognition method based on binocular
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Paper Abstract

This paper proposes a method based on 3D version to recognize free-form objects in the complicated environment, which could be used in field of robot picking. The point cloud data is generated by binocular camera system. The depth map is employed to recover 3D point cloud of the scenario with the calibration method from the binocular camera. Segmentation algorithm is used to detect the object. Recognition is performed by using software libraries integrated with custom-developed segmentation algorithm and model database created by the same binocular camera system. Experiments are designed to verify the performance of the method by randomly placing different types of experimental objects in manipulator workspace. The preliminary results demonstrate the excellent ability of the system to perform object recognition and picking.

Paper Details

Date Published: 20 December 2019
PDF: 10 pages
Proc. SPIE 11209, Eleventh International Conference on Information Optics and Photonics (CIOP 2019), 112094X (20 December 2019); doi: 10.1117/12.2549966
Show Author Affiliations
Kaiyuan Zhu, Hohai Univ. (China)
Xiaobin Xu, Hohai Univ. (China)
Xining An, Hohai Univ. (China)
Benchao Wu, Hohai Univ. (China)
Xiaoyu Xu, Hohai Univ. (China)

Published in SPIE Proceedings Vol. 11209:
Eleventh International Conference on Information Optics and Photonics (CIOP 2019)
Hannan Wang, Editor(s)

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