激光与光电子学进展, 2016, 53 (2): 021201, 网络出版: 2015-12-25  

面向三维测量的空间标志点高稳定实时匹配方法 下载: 903次

A Robust Matching Algorithm for Real-Time 3D Measurement Based on Spatial Marked Points
作者单位
南京航空航天大学机电学院, 江苏 南京 210016
摘要
为了提高多自由度扫描三维拼接的稳定性,提出一种用于实时三维测量拼接的标志点高速、高稳定匹配方法。该方法综合考虑标志点间的距离关系、标志点与其周围标志点间的空间分布关系,提出标志点空间能量概念,实现了当前标志点的唯一性描述,从而利用能量唯一最大的特性实现多视角间的特征点匹配和三维拼接,有效解决了传统方法普遍存在的匹配歧义性问题。实验统计数据表明,两视角间匹配时间平均小于2 ms,正确率接近100%,满足多视角实时三维测量的应用需求。
Abstract
A robust matching algorithm based on spatial marked points is proposed to improve the reliability of threedimensional (3D) scanning registration. This methodology defines the spatial energy to describe the uniqueness of the marked points, which is based on the distance and the spatial relationship between the marked points. Besides, the uniqueness of the energy can be applied to match the marked-points and stitch them together in different views. Compared with the traditional methodology, this algorithm can significantly avoid the ambiguity problem in the process of stitching. According to the experimental results, it only takes less than 2 ms to reach the accuracy of 100% when matching the marked-points in two views, which can realize the 3D data registration of multiple-view in the real time.

翁金平, 程筱胜, 崔海华, 杨柳, 范敬利. 面向三维测量的空间标志点高稳定实时匹配方法[J]. 激光与光电子学进展, 2016, 53(2): 021201. Weng Jinping, Cheng Xiaosheng, Cui Haihua, Yang Liu, Fan Jingli. A Robust Matching Algorithm for Real-Time 3D Measurement Based on Spatial Marked Points[J]. Laser & Optoelectronics Progress, 2016, 53(2): 021201.

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