《点云配准方法》PPT课件.ppt

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1、A Brief Introduction Of Point Cloud Registration Method,杨哲 173282,2,Point Cloud Registration Method,Point Cloud Registration With Target Control,3,4,Quaternion Method,2,1,Iterative Closest Point(ICP)Algorithm,4,Outline,Two point cloud sets of A and B,are conformations of the same points in different

2、 coordinate systems,Rigid transformation:,Objective function:,1.Point Cloud Registration With Target Control,4,面,（a）Leica standard rotation plane target,（b）Mensi plane target,Figure 1 Different kinds of plane target,（d）Mensi plane target,（c）FARO standard plane target,5,1.Point Cloud Registration Wit

3、h Target Control,6 spatial similarity transformation parameters3 angle elements:3 translation elements:,Adjustment model:,Or,6,1.Point Cloud Registration With Target Control,Rotation matrix:,7,1.Point Cloud Registration With Target Control,The expansion of Taylors formula:,Error Equation:,8,G,1.Poin

4、t Cloud Registration With Target Control,Derivative value:,Suppose that:,9,1.Point Cloud Registration With Target Control,Error equation matrix:,Gravity-centralize:,10,1.Point Cloud Registration With Target Control,N pairs of corresponding points:,Order:,11,1.Point Cloud Registration With Target Con

5、trol,Error equation:,1.Point Cloud Registration With Target Control,12,New approximate value:,Iteration:,Finally,we get the values of parameter:,2.Iterative Closest Point(ICP)Algorithm,13,Basic thought:Firstly,from a point set,a bar curve,or a surface to find the closest point that corresponds to on

6、e point,and then uses this result to find two corresponding point sets.Finally,we find out the corresponding point set and the corresponding transformation matrix.,Basic steps:Step1:Search for the nearest pointsStep2:Solve transformation relationsStep3:Application transformationStep4:Repeated iterat

7、ion,3 Quaternion Method,What is Quaternion?,14,Unit quaternions,Rotation matrix R,3.Quaternion Method,Definite translation vector:,15,Complete registration station:,Assume that:,Minimum objective function:,The centroid of the set of basic points:,3.Quaternion Method,16,Orthogonal covariance matrix of point set:,Antisymmetric matrixs cyclic components:,Construct a symmetric matrix:,3.Quaternion Method,17,Translation matrix:,The unit eigenvector corresponding to the maximum eigenvalue of matrix:,Conclusions,Thank you！,18,