Design and recognition of monocular visual artificial landmark based on arc angle information coding

Yiming Xu, Chengcheng Liu, Juping Gu, Juan Zhang, Liang Hua, Qiuxia Dai, Haifeng Gu, Zhenkun Xu, Yiming Xu, Juping Gu, Liang Hua
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Abstract

According to the requirements of monocular vision positioning of mobile robots in structured environment, a method of artificial landmark design, detection and recognition is proposed to adapt to the large field angle and invariance of rotation. An extensible artificial landmark based on arc-angle information coding is designed, the landmark detection and extraction are realized by structure contour detection, the extracted landmark image is corrected by Hough transform and inverse perspective transformation, After the image filtering and enhancement, the improved circle fitting algorithm is proposed to complete the ring detection and segmentation, and finally the arc angle is calculated by the vector method to identify the landmark and realize the decoding. The experimental results show that compared with the classical QR code method, when using the same imaging system, the landmark design and detection and recognition method proposed in this paper can realize the detection and recognition at longer distances and realize the accurate identification within the range of 0–60 degrees, and has strong anti-noise ability.
基于圆弧角信息编码的单目视觉人工地标设计与识别
根据结构化环境中移动机器人单目视觉定位的要求,提出了一种适应大视场角度和旋转不变性的人工地标设计、检测和识别方法。设计了一种基于圆弧角信息编码的可扩展人工地标,通过结构轮廓检测实现地标的检测与提取,提取的地标图像通过霍夫变换和反透视变换进行校正,在对图像进行滤波和增强后,提出改进的圆拟合算法完成环的检测与分割。最后用矢量法计算圆弧角,识别地标并实现解码。实验结果表明,与经典QR码方法相比,在使用相同成像系统的情况下,本文提出的地标设计与检测识别方法可以实现更远距离的检测识别,实现0-60度范围内的准确识别,并且具有较强的抗噪能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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