Title :
Hierarchical Reconstruction on Image Sequences under Occluded Condition
Author :
Lei Xiaochun ; Chen Shen ; Liu Xiaowen ; Li Ruxiong
Author_Institution :
Sch. of Comput. & Control, Guilin Univ. of Electron. & Technol., Guilin, China
Abstract :
Hierarchical reconstruction on image sequences is a hot issue recently. When occlusion exists, the result of reconstruction will be affected. This paper proposes an algorithm to solve the occlusion issue on image sequences. The conjugate gradient method is used to estimate the projective depth. Then the initial model is built to judge the outlier. Meanwhile the final result is built with effective value. The method is proved to be feasible according to the experiment result.
Keywords :
conjugate gradient methods; image reconstruction; image sequences; conjugate gradient method; hierarchical reconstruction; image sequences; occluded condition; projective depth estimation; Cameras; Ceramics; Equations; Error correction; Genetics; Gradient methods; Image reconstruction; Image sequences; Maximum likelihood estimation; Sparse matrices; Hierarchical reconstruction; image sequence; projective reconstruction;
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
DOI :
10.1109/WGEC.2009.157
