A Scale Stretch Method Based on ICP for 3D Data Registration
作者： Shihui Ying , Jigen Peng , Shaoyi Du , Hong Qiao
DOI: 10.1109/TASE.2009.2021337
关键词:
摘要: In this paper, we are concerned with the registration of two 3D data sets large-scale stretches and noises. First, by incorporating a scale factor into standard iterative closest point (ICP) algorithm, formulate constraint optimization problem over 7D nonlinear space. Then, apply singular value decomposition (SVD) approach to iteratively solving such problem. Finally, establish new ICP named Scale-ICP for isotropic stretches. order achieve global convergence proposed propose way select initial registrations. To demonstrate performance efficiency give several comparative experiments between algorithm algorithm.
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