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Registration and integration algorithm in structured light three-dimensional scanning based on scale-invariant feature matching of multi-source images

Registration and integration algorithm in structured light three-dimensional scanning based on scale-invariant feature matching of multi-source images

作     者:崔海华 療文和 戴宁 程筱胜 

作者机构:Key Laboratory of Digital Medical Equipment TechnologyNanjing University of Aeronautic and Astronautic 

出 版 物:《Chinese Optics Letters》 (中国光学快报(英文版))

年 卷 期:2012年第10卷第9期

页      面:25-29页

核心收录:

学科分类:08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基  金:supported by the National "863" Program of China (No. 2009BAI81B02) the Doctoral Foundation of the Ministry of Education (No.20070287055) 

主  题:Algorithms Computerized tomography Image matching Three dimensional computer graphics 

摘      要:Based on the homography between a multi-source image and three-dimensional (3D) measurement points, this letter proposes a novel 3D registration and integration method based on scale-invariant feature matching. The matching relationships of two-dimensional (2D) texture gray images and two-and-a-half- dimensional (2.5D) range images are constructed using the scale-invariant feature transform algorithms. Then, at least three non-collinear 3D measurement points corresponding to image feature points are used to achieve a registration relationship accurately. According to the index of overlapping images and the local 3D border search method, multi-view registration data are rapidly and accurately integrated. Exper- imental results on real models demonstrate that the algorithm is robust and effective.

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