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.
© 2012 Chinese Optics Letters
(100.0100) Image processing : Image processing
(120.0120) Instrumentation, measurement, and metrology : Instrumentation, measurement, and metrology
(120.2650) Instrumentation, measurement, and metrology : Fringe analysis
(150.0150) Machine vision : Machine vision
Haihua Cui, Wenhe Liao, Ning Dai, and Xiaosheng Cheng, "Registration and integration algorithm in structured light three-dimensional scanning based on scale-invariant feature matching of multi-source images," Chin. Opt. Lett. 10, 091001-091001 (2012)