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Embedded 3D Vision Measurement System Based on the Line Structured Light
Wang Z(王照); Xuewei Cao; Haitao Song; Han Xiao; Wenhao He; Kui Yuan; Zhao Wang
2014
Conference Name11th World Congress on Intelligent Control and Automation (WCICA 2014)
Source Publicationthe 11th World Congress on Intelligent Control and Automation
Conference Date2014-6
Conference Place沈阳,中国
AbstractAbstract:
In this paper a real-time embedded 3D vision measurement system (a vision sensor) is realized, based on the line structured light, mainly for applications like large object reconstruction or robot obstacle avoidance. The system mainly contains a sensor and an image acquisition and processing board developed by our research team. An FPGA chip and a DSP chip are embedded in the card as the major calculation units, which make real-time computation possible. The sensor consists of a high-speed camera, a laser projector and an optical filter. The whole recognition algorithm is divided into three parts: the camera calibration, the light plane calibration and the final 3D information extraction. The first two parts are achieved with Matlab before the first use of the sensor. The last part is the process of extracting 3D information for objects. In order to achieve real-time extraction, FPGA and DSP are used to realize certain algorithms separately. Experiments show the time of processing one image using the system proposed in this paper is 9.2ms, and the reconstruction error is less than 2mm when the distance between the sensor and the object is about one meter, which is enough for large object reconstruction and robot obstacle avoidance.
Keyword3d Vision Measurement Embedded System Line Structured Light Vision Sensor
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11461
Collection智能制造技术与系统研究中心_智能机器人
Corresponding AuthorZhao Wang
Affiliation中国科学院自动化研究所
Recommended Citation
GB/T 7714
Wang Z,Xuewei Cao,Haitao Song,et al. Embedded 3D Vision Measurement System Based on the Line Structured Light[C],2014.
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