Comprehensive Analysis of Feature Based Methods on Image Stitching Techniques

Authors(1) :-A. Rajarajeswari

In the field of computer vision the important research is image stitching. Image stitching is the process of combining multiple photographic images with overlapping fields of view to produce a segmented panorama image. Stitching process has three stages, namely Registration, Calibration, and Blending. In recent years many algorithms have been proposed widely to tackle image stitching problem. A discussion is made on all the recent approaches and review is done. In addition we also discuss the image stitching process for the understanding of the reader. Here some of the techniques used for image stitching process are given here. Finally, the current challenges of image stitching will be discussed.

Authors and Affiliations

A. Rajarajeswari
Assistant Professor, Department of Computer Applications, NGM College, Pollachi, Tamil Nadu, India

Direct method, feature based method, Image Registration, Image Calibration, Image Blending.

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Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 544-548
Manuscript Number : CSEIT183171
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

A. Rajarajeswari, "Comprehensive Analysis of Feature Based Methods on Image Stitching Techniques", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.544-548, January-February-2018.
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