Analysis Of Sift And Surf Algorithms For Image Mosaicing On Embedded Platform

In computer vision, image mosaicing or stitching is a common active research area. Image stitching process is a process of compositing images which contain similar scene into a larger image. The union of these input images is called panoramic image. Image stitching techniques are classified into two...

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Main Author:	Ooi , Chong Wei
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TK7800-8360 Electronics
Online Access:	http://eprints.usm.my/41497/1/Ooi_Chong_Wei_24_Pages.pdf
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id	my-usm-ep.41497
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spelling	my-usm-ep.414972018-08-24T02:18:35Z Analysis Of Sift And Surf Algorithms For Image Mosaicing On Embedded Platform 2015 Ooi , Chong Wei TK7800-8360 Electronics In computer vision, image mosaicing or stitching is a common active research area. Image stitching process is a process of compositing images which contain similar scene into a larger image. The union of these input images is called panoramic image. Image stitching techniques are classified into two types. First technique is direct technique whereas another is known as feature-based technique. Significant pros of feature-based method are in terms of robustness and speed. As a result, panoramic image is created faster and contains quality improved. In this paper, a real time on board image mosaicing system based on SURF feature based techniques is proposed. Performance comparison between SURF and SIFT is made. To obtain matching point between images, Flann Based Matcher is used. Next homography estimation is performed by using RANSAC algorithm. Perspective transform is applied to obtain a transformation for mapping a two dimensional quadrilateral into another. Lastly, images are warped and composited into single scene. Experimental results shows that SURF and SIFT are robust algorithm performing stable key point detection. These techniques are invariant to scale and rotation. SURF technique has better performance with respect to speed. Implementation and experimental are done in Raspberry Pi board with built-in 512MB RAM and 700MHz processor. 2015 Thesis http://eprints.usm.my/41497/ http://eprints.usm.my/41497/1/Ooi_Chong_Wei_24_Pages.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Elektrik dan Elektronik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	TK7800-8360 Electronics
spellingShingle	TK7800-8360 Electronics Ooi , Chong Wei Analysis Of Sift And Surf Algorithms For Image Mosaicing On Embedded Platform
description	In computer vision, image mosaicing or stitching is a common active research area. Image stitching process is a process of compositing images which contain similar scene into a larger image. The union of these input images is called panoramic image. Image stitching techniques are classified into two types. First technique is direct technique whereas another is known as feature-based technique. Significant pros of feature-based method are in terms of robustness and speed. As a result, panoramic image is created faster and contains quality improved. In this paper, a real time on board image mosaicing system based on SURF feature based techniques is proposed. Performance comparison between SURF and SIFT is made. To obtain matching point between images, Flann Based Matcher is used. Next homography estimation is performed by using RANSAC algorithm. Perspective transform is applied to obtain a transformation for mapping a two dimensional quadrilateral into another. Lastly, images are warped and composited into single scene. Experimental results shows that SURF and SIFT are robust algorithm performing stable key point detection. These techniques are invariant to scale and rotation. SURF technique has better performance with respect to speed. Implementation and experimental are done in Raspberry Pi board with built-in 512MB RAM and 700MHz processor.
format	Thesis
qualification_level	Master's degree
author	Ooi , Chong Wei
author_facet	Ooi , Chong Wei
author_sort	Ooi , Chong Wei
title	Analysis Of Sift And Surf Algorithms For Image Mosaicing On Embedded Platform
title_short	Analysis Of Sift And Surf Algorithms For Image Mosaicing On Embedded Platform
title_full	Analysis Of Sift And Surf Algorithms For Image Mosaicing On Embedded Platform
title_fullStr	Analysis Of Sift And Surf Algorithms For Image Mosaicing On Embedded Platform
title_full_unstemmed	Analysis Of Sift And Surf Algorithms For Image Mosaicing On Embedded Platform
title_sort	analysis of sift and surf algorithms for image mosaicing on embedded platform
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuruteraan Elektrik dan Elektronik
publishDate	2015
url	http://eprints.usm.my/41497/1/Ooi_Chong_Wei_24_Pages.pdf
_version_	1747820922555858944

Analysis Of Sift And Surf Algorithms For Image Mosaicing On Embedded Platform

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