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Reseach Article

Image Stitching using Harris and RANSAC

by Rupali Chandratre, V. A Chakkarwar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 15
Year of Publication: 2014
Authors: Rupali Chandratre, V. A Chakkarwar
10.5120/15706-4567

Rupali Chandratre, V. A Chakkarwar . Image Stitching using Harris and RANSAC. International Journal of Computer Applications. 89, 15 ( March 2014), 14-19. DOI=10.5120/15706-4567

@article{ 10.5120/15706-4567,
author = { Rupali Chandratre, V. A Chakkarwar },
title = { Image Stitching using Harris and RANSAC },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 15 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 14-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number15/15706-4567/ },
doi = { 10.5120/15706-4567 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:09:19.105032+05:30
%A Rupali Chandratre
%A V. A Chakkarwar
%T Image Stitching using Harris and RANSAC
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 15
%P 14-19
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper the problem of fully automated panoramic image stitching for 2D image is introduced. In this work, stitching two images using invariant local fea¬tures is used. This algorithm recognises multiple panoramas in an unordered image dataset and uses Harris Corner Detection for detecting the key point i. e. features. RANSAC method is used to choose the closest match between the two images by separating inliers and outliers. For the Image stitching using the inliers, homography matrix is used which requires least 8 feature points . Once the homography matrix is calculated between the two images, a panoramic view by wrapping the two images is generated. To get the efficient homography matrix, the feature points which fall onto the corresponding epipolar lines are selected. In this rectilinear projections are used to project the resulting image. In rectilinear projections images are viewed on two dimensional planes. Harris Corner Detection method is more robust for detecting the corners in the images than other methods. Hence, Harris Corner Detection with RANSAC which gives efficient image stitching.

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Index Terms

Computer Science
Information Sciences

Keywords

Harris Corner detector Panoramic view Perspective transform rectilinear projection Feature points Key points