Robust structure from motion approach based on multi cameras

被引:0
|
作者
Wang, Yuxi [1 ,2 ]
Liu, Yue [1 ,2 ]
机构
[1] School of optoelectronics, Beijing Institute of technology, Beijing,100081, China
[2] Beijing Engineering Research Center for Mixed Reality and Advanced Display Technology, Beijing,100081, China
关键词
Incomplete measurements - Low-rank matrices - Matrix factorizations - Measurement matrix - Robust principal component analysis - Structure from motion - Three-dimensional reconstruction - Three-dimensional structure;
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学科分类号
摘要
Considering the effects of large-scale noises on measurement matrix, this paper proposes a robust framework to realize structure from motion based on multi-cameras. By introducing a mathematical model for recovering the low rank matrix, the problem of incomplete measurement matrix solution caused by missing data and large-scale noises is converted into that of a convex optimization, which can be solved using robust principal component analysis(RPCA) method; and the matrix factorization theory is used to achieve the structure from motion with multi-cameras. Experiment results show that the proposed framework can effectively solve the problem of structure from motion with multi-cameras caused by the existence of large scale noises, and accurately reconstruct the three-dimensional structure. ©, 2015, Science Press. All right reserved.
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页码:230 / 238
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