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A corner detection algorithm combining SUSAN and Harris is used to detect the left and right camera calibration templates. The two-dimensional coordinate points of the object are determined by the image stereo matching module, and the three-dimensional discrete coordinate points of the object space can be obtained according to the transformation relationship between the image coordinates and the actual object coordinates. Then draw the three-dimensional model of the object through the three-dimensional drawing software. Experimental data shows that the logic resources and memory resources occupied by image preprocessing account for 30.4% and 27.4% of the entire system, respectively. The results show that the system can calibrate the internal and external parameters of the camera. In this way, the camera calibration result will be more accurate and the range will be wider. At the same time, it can effectively make up for the shortcomings of traditional modeling techniques to ensure the measurement accuracy of the detection system.<\/jats:p>","DOI":"10.3233\/jifs-189438","type":"journal-article","created":{"date-parts":[[2020,11,6]],"date-time":"2020-11-06T11:46:16Z","timestamp":1604663176000},"page":"5985-5994","source":"Crossref","is-referenced-by-count":2,"title":["Symbol recognition system based on 3D stereo vision"],"prefix":"10.1177","volume":"40","author":[{"given":"Linlin","family":"Wang","sequence":"first","affiliation":[{"name":"School of Art, Guangxi University of Foreign Languages, Nanning, Guangxi, China"},{"name":"Department of Design, Graduate School of Keimyung University, Daegu, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-189438_ref1","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1016\/j.neucom.2020.01.022","article-title":"Hybrid-driven finite-time H\u221e 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