OpenCV image stitching analysis

Computer vision software has been widely used in the area of Photography creating an amazing effect. One of the tools that has been developed and widely used in the digital camera is the panoramic image, where multiple images are “stitched” together. In this project, the analysis was carried out o...

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Main Author: Kok, Chuan Yong
Other Authors: Lee Bu Sung, Francis
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/73901
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-739012023-03-03T20:45:43Z OpenCV image stitching analysis Kok, Chuan Yong Lee Bu Sung, Francis School of Computer Science and Engineering DRNTU::Engineering Computer vision software has been widely used in the area of Photography creating an amazing effect. One of the tools that has been developed and widely used in the digital camera is the panoramic image, where multiple images are “stitched” together. In this project, the analysis was carried out on the open source library OpenCV and two of its feature detectors ORB and AKAZE. Three programs were built or updated from the old version of OpenCV to the newer version to carry out the experiments. One is the ABS-DIFF program which calculated the absolute difference between two images. The program is used to measure the difference between the original image and the “stitch” image. The second draw matches program was also developed to highlight the “matched” points when we stitch two images together. This program helps us to understand the stitching software better as it shows the matching points of the reference and target image side by side. The third program is an image stitcher which was modified and updated from an old version to verify the stitching process and runtime. A number of experiments were carried out to compare ORB and AKAZE. It is concluded that ORB has a better performance in terms of computation time requirement and AKAZE has better performance in the cumulative absolute difference value. Bachelor of Engineering (Computer Science) 2018-04-19T03:02:32Z 2018-04-19T03:02:32Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/73901 en Nanyang Technological University 37 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Kok, Chuan Yong
OpenCV image stitching analysis
description Computer vision software has been widely used in the area of Photography creating an amazing effect. One of the tools that has been developed and widely used in the digital camera is the panoramic image, where multiple images are “stitched” together. In this project, the analysis was carried out on the open source library OpenCV and two of its feature detectors ORB and AKAZE. Three programs were built or updated from the old version of OpenCV to the newer version to carry out the experiments. One is the ABS-DIFF program which calculated the absolute difference between two images. The program is used to measure the difference between the original image and the “stitch” image. The second draw matches program was also developed to highlight the “matched” points when we stitch two images together. This program helps us to understand the stitching software better as it shows the matching points of the reference and target image side by side. The third program is an image stitcher which was modified and updated from an old version to verify the stitching process and runtime. A number of experiments were carried out to compare ORB and AKAZE. It is concluded that ORB has a better performance in terms of computation time requirement and AKAZE has better performance in the cumulative absolute difference value.
author2 Lee Bu Sung, Francis
author_facet Lee Bu Sung, Francis
Kok, Chuan Yong
format Final Year Project
author Kok, Chuan Yong
author_sort Kok, Chuan Yong
title OpenCV image stitching analysis
title_short OpenCV image stitching analysis
title_full OpenCV image stitching analysis
title_fullStr OpenCV image stitching analysis
title_full_unstemmed OpenCV image stitching analysis
title_sort opencv image stitching analysis
publishDate 2018
url http://hdl.handle.net/10356/73901
_version_ 1759853619111264256