National Natural Science Foundation of China (No.61402274, No.61672333, No.61461025, No.61202314, No.41471280, No.61501286, No.U1504610);Industrial Science and Technology Research and Development Project of Shaanxi Province (No.2016GY-081);Key Science and Technology Innovation Team Project of Shaanxi Province (No.2014KTC-18);China Postdoctoral Science Foundation funded project (No.2014T70937);Fundamental Research Funds for the Central Universities of Shaanxi Normal University (No.GK201402040);Learning Science Interdisciplinary Training Program of Shaanxi Normal University
QIU Guo-yong, LIU Jing-na, LIU Zhong-hua, et al. Iteration Projection Reconstruction Method for 3D Non-Rigid Based on Minimal Eigenvalue[J]. Acta Electronica Sinica, 2017, 45(5): 1211-1217.
DOI:
QIU Guo-yong, LIU Jing-na, LIU Zhong-hua, et al. Iteration Projection Reconstruction Method for 3D Non-Rigid Based on Minimal Eigenvalue[J]. Acta Electronica Sinica, 2017, 45(5): 1211-1217. DOI: 10.3969/j.issn.0372-2112.2017.05.026.
Iteration Projection Reconstruction Method for 3D Non-Rigid Based on Minimal Eigenvalue
To obtain 3D non-rigid projective reconstruction from an image sequence
an iteration projection reconstruction method for 3D non-rigid based on minimal eigenvalue is presented.Based on the characteristic that all the image points and the depth factors constitute a low rank image matrix
the method replaces projection solution by eigenvalue and eigenvector solution.Then we can obtain the depth factors by iteration.Finally
the 3D non-rigid projective reconstruction is realized.The method can guarantee to converge to the global optimal solution.The experiments with both simulate and real data show that the proposed method has the advantages of fast convergence speed and small error.