摘要
散斑结构光因只需投射一幅图像即可获取三维信息,成为近年来的研究热点.但利用散斑结构光进行三维信息获取时,存在散斑特征点匹配数量少、误匹配率高的问题,为此研究了散斑特征点提取与匹配算法.在分析散斑点区域灰度分布规律的基础上,提出一种基于灰度值比较的散斑特征点提取方法,通过比较窗口上相关像素灰度值进行粗提取,定义特征点响应函数消除冗余检测.匹配方面,建立散斑特征点描述子,提出一种基于描述子信息的多约束扩散匹配方法,首先通过多约束条件获得匹配度较高的种子点,生成种子点队列,其次利用队列中种子点的描述子信息,对描述子中未匹配的散斑特征点进行扩散匹配.实验结果表明,与其他方法相比,所提算法将匹配数量提高了 35%以上,误匹配率降低到0.12%.
Speckle structured light has become a research hotspot in recent years owing to its ability to obtain threedimensional(3D)information by projecting only one image.However,when using speckle structured light to obtain 3D information,problems such as low number of matching speckle feature points and high mismatching rate are encountered.Therefore,the speckle featurepoint extraction and matching algorithm is herein studied.Based on the analysis of the graydistribution rule of speckle region,a method for extracting speckle feature points based on grayvalue comparison is proposed.By comparing the gray value of relevant pixels on the window,coarse extraction is performed,and the response function of the feature point is defined to eliminate redundant detection.In terms of matching,speckle featurepoint descriptors are established,and a multiconstrained propagation matching method based on descriptor information is proposed.First,the seed points with high matching degree were obtained through multiconstrained conditions,and the seed points were generated into a queue.Next,the unmatched speckle feature points in the descriptor were propagation matched using the descriptor information of the seed points.Experimental results show that the proposed algorithm increases the number of matches by more than 35%and reduces the mismatching rate to 0.12%compared to other algorithms.
作者
李晓侠
孙长库
孙玉晶
王鹏
付鲁华
Li Xiaoxia;Sun Changku;Sun Yujing;Wang Peng;Fu Luhua(State Key Laboratory of Precision Measuring Technology and Instruments,Tianjin University,Tianjin 300072,China;Science and Technology on ElectroOptic Control Laboratory,Luoyang Institute of ElectroOptic Equipment,Aviation Industry Corporation of China,Ltd.,Luoyang 471009,Henan,China)
出处
《激光与光电子学进展》
CSCD
北大核心
2023年第6期182-189,共8页
Laser & Optoelectronics Progress
基金
中航工业洛阳电光设备研究所光电控制技术重点实验室和航空科学基金联合资助项目(201951048001)。
关键词
激光散斑
特征点描述子
散斑结构光
双目视觉
立体匹配
laser speckle
feature point descriptor
speckle structured light
binocular vision
stereo matching
