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基于标志点的多视三维数据自动拼接方法
引用本文:梁云波,邓文怡,娄小平,吕乃光.基于标志点的多视三维数据自动拼接方法[J].北京机械工业学院学报,2010,25(1):30-33.
作者姓名:梁云波  邓文怡  娄小平  吕乃光
作者单位:北京信息科技大学,光电信息与通信工程学院,北京,100192 
基金项目:北京市市属市管高等学校人才强教计划资助 
摘    要:为了实现多视三维数据的自动拼接,提出了一种数据拼接方法。利用标志点的空间特征不变性,通过引入距离矩阵和匹配信息表,根据匹配标志点之间的约束关系,实现了标志点的匹配,同时利用相邻区域测量数据之间的关系,基本消除了匹配歧义问题。运用奇异值分解法求解旋转矩阵R和平移向量T,实现测量数据拼接。多视拼接实例表明,本算法具有较强的鲁棒性,能够实现对多视数据的快速,自动拼接,具有很好的实用价值。

关 键 词:三维测量  多视拼接  匹配

Automatic registration method of multi-view 3D data based on marked points
Affiliation:LIANG Yun-bo, DENG Wen-yi, LOU Xiao-ping, Lti Nai-guang ( School of Photoelectric Information and Telecommunication, Beijing Information Science and Technology University, Beijing 100192, China)
Abstract:To register multi-view 3D data automatically,a method is proposed in this paper. It uses mutual restrains of matching points to get the counterpoints of marked points based on the invariability of spatial character. Through introducing distance matrix and matching information table, the whole work is simplified. Matching ambiguity is basically eliminated by the restrictions of neighboring measurement regions. Then the rotation matrix R and the translation vector T are found through the singular value decomposition (SVD) algorithm. Finally a registration example is presented. The result shows the algorithm has strong robustness and can realize automatic and fast registration of multi-view data.
Keywords:3 D measuring  registration of multi-view  matching
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