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 pairwise registration and errors induced by laser devices. The feasibility and usability of the algorithm are confirmed through related experiments.
Wuyang Shui Mingquan Zhou
School of Information Science and Technology, Beijing Normal University, Beijing, 100875, China
国际会议
上海
英文
601-606
2010-10-20（万方平台首次上网日期，不代表论文的发表时间）