摘要
本文的研究目标是重新设计一种用于提取特征点的特征图案以满足远距离视觉定位的需要,与二维码类似,本文中特征图案同样采用黑色块排列组成,但是其排列数量相对更少,黑色块之间具备连续性,从而极大降低对分辨率的要求,而对其进行识别是采用模板匹配算法,并在文中给出以相似率为80%进行识别界定,实验时采用对比实验方式,在同样的环境与拍摄距离的情况下,该特征图案的有效识别距离相比二维码提升225%,在30 cm×30 cm尺寸下,最远识别距离达到90 m,而在鲁棒性实验中对特征图案进行多种干扰处理并均能识别,显示出足够的抗干扰性,适用于应用在室外,所以本文所研究提出的特征图案能够基本满足远距离视觉定位的需要,非常适合应用在车辆视觉定位中。
The research goal of this paper is to redesign a feature pattern for extracting feature points to meet the needs of long-distance visual positioning. Similar to the two-dimensional code, the feature pattern in this paper is also composed of black blocks, but the number of arrangements is relatively small. the black blocks have continuity, which greatly reduces the resolution requirements, and the template matching algorithm is used to identify them, and the similarity rate is 80% to identify the definition in the text, and the comparison experiment is used in the experiment. In the same environment and shooting distance, the effective recognition distance of the characteristic pattern is 225% higher than that of the QR code. Under the size of 30*30 cm, the longest recognition distance reaches 90 m, and in the robustness experiment A variety of interference processing is carried out on the characteristic pattern and all of them can be identified, showing sufficient anti-interference ability, and suitable for outdoor applications. Therefore, the characteristic pattern proposed in this paper can basically meet the needs of long-distance visual positioning, and is very suitable for application in vehicles. Visual positioning.
作者
石奇
姜小峰
陆顺成
Shi Qi;Jiang Xiaofeng;Lu Shuncheng(School of Computer Science and Technology,Soochow University,Suzhou 215006,China)
出处
《电子测量技术》
北大核心
2022年第20期160-166,共7页
Electronic Measurement Technology
基金
国家自然科学基金(62176172)项目资助。
关键词
特征图案
特征点
视觉定位
模板匹配
二维码
feature pattern
feature point
visual positioning
template matching
QR code
