A fast method for image mosaic based on SURF

Author

Fei Lei ; Wenxue Wang

Author_Institution

Electron. Inf. & Control Eng. Coll., Beijing Univ. of Technol., Beijing, China

fYear

2014

fDate

9-11 June 2014

Firstpage

79

Lastpage

82

Abstract

This article presents a fast method for image mosaic based on SURF. The method includes three principal steps: Firstly, the feature points are extracted using SURF operator and the feature points are matched using BBF algorithm; Secondly, image registration is completed by estimating the converting relationship between images with the RANSAC and least squares method; Finally, seamless image fusion is obtained by using Gradating in-and-out amalgamation algorithm, which can reduce the effects of seams and illumination variations. The experimental results demonstrate that this method has superior quality of stitching.

Keywords

feature extraction; image fusion; image matching; image registration; image segmentation; least squares approximations; BBF algorithm; RANSAC; SURF operator; feature point extraction; gradating in-and-out amalgamation algorithm; image mosaic; image registration; least squares method; seamless image fusion; stitching quality; Convolution; Educational institutions; Feature extraction; Image fusion; Image registration; Robustness; Vectors; BBF; Gradating in-and-out; RANSAC; SURF; image mosaic;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4799-4316-6

Type

conf

DOI

10.1109/ICIEA.2014.6931135

Filename

6931135