Multi-view point clouds registration and stitching based on SIFT feature
In order to solve multi-view point clouds registration in large non-feature marked scenes, a new registration and stitching method was proposed based on 2D SIFI (Scale-invariant feature transform) features. Firstly, we used texture mapping method to generate 2D effective texture image, and then extracted and match SIFT features, obtained accurate key points and registration relationship between the effective texture images. Secondly, we reflected the SIFT key points and registration relationship to the 3D point clouds data, obtained key points and registration relationship of multi-view point clouds, we can achieve multi-view point clouds stitching. Our algorithm used texture mapping method to generate 2D effective texture image, it can eliminate interference of the holes and ineffective points, and can eliminate unnecessary mistake matching. Our algorithm used correct extracted matching point pairs to stitch, avoiding stepwise iterated of ICP algorithm, so our algorithm is simple to calculate, and its matching precision and matching efficiency are improved to some extent. We carried experiments on two-view point clouds in two large indoor; the experiment results verified the validity of our algorithm.
Multi-view point clouds registration multi-view point clouds stitching SIFT key point texture mapping
Jun Chu Chun-mei Nie
Institute of Computer Vision, Nanchang Hang kong University Nanchang, Jiangxi 330063, China
国际会议
上海
英文
274-278
2011-03-11（万方平台首次上网日期，不代表论文的发表时间）