A Fully Automatic 3D Reconstruction Method Based on Images

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 determin...

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Bibliographic Details
Main Authors: Jiang Ze-tao, Zheng Bi-na, Wu Min, Wu Wen-huan
Format: Conference Proceeding
Language:English
Subjects:
3D reconstruction
Cameras
Computer vision
Data mining
Delauny triangularization
epipolar geometry
Feature extraction
features matching
fundamental matrix
Image reconstruction
Large-scale systems
Layout
random sampling consensus (RANSAC)
Reconstruction algorithms
Rendering (computer graphics)
Robust stability
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Description
Summary: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.
DOI:10.1109/CSIE.2009.144