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机构地区:[1]陕西学前师范学院,西安710100 [2]西安电子科技大学,西安710071
出 处:《激光杂志》2017年第6期82-84,共3页Laser Journal
基 金:陕西省教育厅高等学校高层次人才项目(2154859458)
摘 要:针对传统图像匹配方法对光线、视角的变化敏感,约束条件单一,匹配效率低、误差率高等难题,提出了维激光扫描图像的快速实时匹配方法。首先构建激光扫描模型,搜寻尺度空间极值,提取图像特征点及其描述,并对候选特征点进行筛选;然后采用余弦相似度和距离匹配对图像进行快速实时匹配,获取图像间精确的匹配点对,利用积分图像进一步降低匹配误差,实现图像的快速实时匹配,最后实验结果表明,本文在外界噪声干扰、光照缺失等不利条件下,大幅度缩短匹配时间,有效降低了误匹配率,提高图像匹配的精度。The traditional image matching method is sensitive to the change of light and angle of view. The con- straint condition is single, the matching is inefficient, and the error rate is above the average. This paper presents a three-dimensional laser scanning image matching method based on real-time improvement. Firstly construct the 3D la- ser scanning model to search the scale space extrema, extract image feature points and description. And the candidate feature points is selected. Using cosine similarity and distance matching method to real-time matching the image and to get precise image. Using the integral image to further low matching error and realize fast real-time matching. The experi- ments show that the 3D laser scanning image matching method proposed, in the external noise interference and the lack of illumination conditions, to shorten the matching time, reduce to effectively the error rate and to improve the accuracy.
分 类 号:TN929[电子电信—通信与信息系统]
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