Research on a three-dimensional reconstruction method based on the feature matching algorithm of a scale-invariant feature transform

被引：9
|
作者：
Hu, Yingfeng [1 ]
机构：
[1] E China Jiaotong Univ, Sch Railway Tracks & Transportat, Nanchang 330013, Peoples R China
来源：
MATHEMATICAL AND COMPUTER MODELLING | 2011年 / 54卷 / 3-4期
关键词：
Feature matching; 3D reconstruction; Scale-invariant feature transform; Non-coplanar lines; Binocular stereo vision;
D O I：
10.1016/j.mcm.2010.11.016
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Currently, reverse engineering has attracted increasing attention in the non-destructive detection field, since it is a viable method to create a three-dimensional (3D) virtual model of an existing physical part. Feature points matching and 3D reconstruction are critical processes in reverse engineering of binocular stereo vision. In this paper, we present a 3D reconstruction method based on the feature matching algorithm of a scale-invariant feature transform (SIFT). First, we find the paired matching pixel points in the two corresponding digital images by using the SIFT matching algorithm. Second, the middle points on the common perpendicular of non-coplanar lines are exploited to estimate the 3D points. Finally, experimental results are presented to demonstrate the practicality of the proposed method. Published by Elsevier Ltd
引用
收藏
页码：919 / 923
页数：5
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