Title :
Projective Reconstruction from Line-Correspondence Based on Image Sequence
Author :
Lei Xiaochun ; Liu Xiaowen ; Li Ruxiong ; Chenshen
Author_Institution :
Sch. of Comput. & Control, Guilin Univ. of Electron. & Technol., Guilin, China
Abstract :
The 3D projective reconstruction based on image sequences uses line-correspondence and then constructs line measurement matrix. This paper adopts genetic algorithm for estimating projective depth and performs SVD (singular value decomposition) on measure matrix to retrieve the result of projective reconstruction. According to the result of an experiment on a group of image sequences, this method is feasible.
Keywords :
genetic algorithms; image reconstruction; image sequences; singular value decomposition; genetic algorithm; image sequence; line measurement matrix; line-correspondence; projective depth estimation; projective reconstruction; singular value decomposition; Area measurement; Cameras; Ceramics; Electric variables measurement; Genetic algorithms; Image reconstruction; Image segmentation; Image sequences; Matrix decomposition; Mechanical variables measurement; image sequences; line-correspondence; 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.2009.167
