An approach for model reconstruction based on multi-view scans registration

In this paper, a novel approach to achieve model reconstruction based on global features is proposed on the ground of our research on multi-view scans registration. The algorithm combines the rigid registration and non-rigid registration. Principle component analysis (PCA) is adopted to achieve the rough pair-wise registration. Then, we do some research on the features selection and feature correspondence and propose an improved method to achieve fine pair-wise registration based on Iterative Closest Points (ICP). Finally, an effective global features non-rigid registration is proposed based on thin-plate splines (TPS), which overcomes both the accumulation errors generated in the process of pair-wise registration and errors induced by laser devices. The feasibility and usability of the algorithm are confirmed through related experiments.