TY - GEN
T1 - Projective reconstruction with missing data combining 2D reprojection error and subspace method
AU - Luan, Guang Yu
AU - Ye, Dong
AU - Che, Ren Sheng
PY - 2009
Y1 - 2009
N2 - Factorization algorithms widely used in projective reconstruction handle all of images uniformly without preferential treatment for any image. However, they require that all the points are visible in all views. Due to reasons, such as occlusion, the demand can not be satisfied. For the factorization method to be better applicable, we propose a new factorization-based algorithm combining 2D reprojection error and subspace method for projective reconstruction with missing data, which estimates projective shape, projection matrices, projective depths and missing data iteratively. Estimation problems of projective shape and projection matrices are formulated in terms of the minimization of 2D reprojection error. The subspace method is used to estimate projective depths. Experimental results using both synthetic data and real images are provided to illustrate the performance of the proposed method.
AB - Factorization algorithms widely used in projective reconstruction handle all of images uniformly without preferential treatment for any image. However, they require that all the points are visible in all views. Due to reasons, such as occlusion, the demand can not be satisfied. For the factorization method to be better applicable, we propose a new factorization-based algorithm combining 2D reprojection error and subspace method for projective reconstruction with missing data, which estimates projective shape, projection matrices, projective depths and missing data iteratively. Estimation problems of projective shape and projection matrices are formulated in terms of the minimization of 2D reprojection error. The subspace method is used to estimate projective depths. Experimental results using both synthetic data and real images are provided to illustrate the performance of the proposed method.
KW - 2D reprojection error
KW - Missing data
KW - Projective reconstruction
KW - Subspace
UR - https://www.scopus.com/pages/publications/77949645962
U2 - 10.1109/ICIECS.2009.5364877
DO - 10.1109/ICIECS.2009.5364877
M3 - 会议稿件
AN - SCOPUS:77949645962
SN - 9781424449941
T3 - Proceedings - 2009 International Conference on Information Engineering and Computer Science, ICIECS 2009
BT - Proceedings - 2009 International Conference on Information Engineering and Computer Science, ICIECS 2009
T2 - 2009 International Conference on Information Engineering and Computer Science, ICIECS 2009
Y2 - 19 December 2009 through 20 December 2009
ER -