红外技术2024，Vol.46Issue(7)：831-837,7.
基于自适应几何约束ORB的红外双目测距方法
Infrared Binocular Ranging Method Based on Adaptive Geometrically Constrained ORB
摘要
Abstract
An ORB infrared binocular ranging method based on adaptive geometric constraints and the random sampling consistency method is proposed to address the issues of low computational efficiency,high mismatching rates,and insufficient accuracy in binocular vision measurements by traditional feature matching algorithms.First,key points are detected and described using the FAST and BRIEF algorithms,and the initial matching of feature points is performed using the fast library for approximate nearest neighbors(FLANN)algorithm.Then,based on the slope and distance of the initial matching pairs,appropriate thresholds are selected,and geometric constraints based on these parameters are constructed to eliminate incorrect matching pairs.Finally,a random sample consensus(RANSAC)method is used to remove anomalous points and complete the fine matching.The distance of the target object is calculated by combining the thermal camera calibration parameters.Experimental results show that the improved ORB algorithm yields higher quality feature points and greater measurement accuracy compared to traditional algorithms,with an average absolute error of distance measurements at 1.64%,demonstrating its practical value.关键词
ORB算法/热红外/双目测距/自适应阈值/几何约束Key words
oriented fast and rotated brief(ORB)/thermal infrared/binocular distance measurement/adaptive threshold/geometric constraints分类
计算机与自动化引用本文复制引用
李淮周,王帅军,王宏,曹祥红,白振鹏,李森..基于自适应几何约束ORB的红外双目测距方法[J].红外技术,2024,46(7):831-837,7.基金项目
河南省科技攻关项目(222102220071,212102210535,232102321021) （222102220071,212102210535,232102321021）
河南省高等学校重点科研项目(22A470014) （22A470014）
郑州轻工业大学博士科研基金项(2018BSJJ053). （2018BSJJ053）
