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.
© 2012 Chinese Optics Letters
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