DocumentCode :
495222
Title :
A Fully Automatic 3D Reconstruction Method Based on Images
Author :
Ze-tao, Jiang ; Bi-na, Zheng ; Min, Wu ; Wen-huan, Wu
Author_Institution :
Comput. Sch., Nanchang HangKong Univ., Nanchang, China
Volume :
5
fYear :
2009
fDate :
March 31 2009-April 2 2009
Firstpage :
327
Lastpage :
331
Abstract :
A fully automatic 3D reconstruction method based on images without manual modeling is presented in this paper. The method extracts 3D information from 2D images directly. Firstly, the feature points must be extracted from the images and then we match these corresponding points. Secondly, to determine the coordinates of 3D points, we should calculate the fundamental matrix, along with the extrinsic and intrinsic parameters of camera, which is to get the essential matrix. Consequently, we can implement the 3D reconstruction of the real scene after establishing the 3D model by Delauny triangulation and texture mapping and rendering in the late stage. Experiments with real images show that the method can reduce the reconstruction time of large-scale virtual scene greatly. It is characterized as efficiency, high stability and robustness.
Keywords :
feature extraction; image matching; image reconstruction; image texture; matrix algebra; mesh generation; rendering (computer graphics); solid modelling; 2D image; Delauny triangulation; automatic 3D reconstruction method; feature extraction; fundamental matrix; image point match; image rendering; texture mapping; Cameras; Computer vision; Data mining; Feature extraction; Image reconstruction; Large-scale systems; Layout; Reconstruction algorithms; Rendering (computer graphics); Robust stability; 3D reconstruction; Delauny triangularization; epipolar geometry; features matching; fundamental matrix; random sampling consensus (RANSAC);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
Type :
conf
DOI :
10.1109/CSIE.2009.144
Filename :
5170551
Link To Document :
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