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