Chinese Optics Letters, 2012, 10 (9): 091001, Published Online: May. 16, 2012
Registration and integration algorithm in structured light three-dimensional scanning based on scale-invariant feature matching of multi-source images Download: 824次
100.0100 Image processing 120.0120 Instrumentation, measurement, and metrology 120.2650 Fringe analysis 150.0150 Machine vision
Abstract
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. Experimental results on real models demonstrate that the algorithm is robust and effective.
Haihua Cui, Wenhe Liao, Ning Dai, Xiaosheng Cheng. Registration and integration algorithm in structured light three-dimensional scanning based on scale-invariant feature matching of multi-source images[J]. Chinese Optics Letters, 2012, 10(9): 091001.