An Algorithm for Image Match Propagation

Author

Liu, Rong ; He, Liang ; Lu, Kaiyun

Author_Institution

Dept. of Surveying, East China Inst. of Technol. Fuzhou, Fuzhou, China

fYear

2012

Firstpage

759

Lastpage

762

Abstract

Stereo matching is an important part of 3D reconstruction. This paper proposes an improved match propagation algorithm. Firstly, the feature points are extracted and matched by SIFT algorithm then they are used as seed points for the image match propagation in neighborhood. Secondly, these dense correspondences are re-sampled to quasi-dense correspondences. Finally, the mismatched points and outliers are eliminated by epipolar constraint. Experiments show that this improved algorithm can be applied in the similar structure of images with great change of depth.

Keywords

feature extraction; image matching; image reconstruction; stereo image processing; transforms; 3D reconstruction; SIFT algorithm; epipolar constraint; feature point extraction; feature point matching; mismatched point elimination; outlier elimination; quasidense correspondences; scale-invariant feature transform; seed points; stereo image match propagation algorithm; Computer vision; Feature extraction; Image reconstruction; Reliability; Stereo image processing; Three dimensional displays; SIFT algorithm; epipolar constraint; propagation; quasi-dense matching;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4673-1450-3

Type

conf

DOI

10.1109/ICICEE.2012.203

Filename

6322492