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Spherical Panorama Image Generation Method using Homography and Tracking Algorithm
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호모그래피와 추적 알고리즘을 이용한 구면 파노라마 영상 생성 방법

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Type
Academic journal
Author
Anar Munkhjargal (숭실대학교) Hyung-Il Choi (숭실대학교)
Journal
The Korea Contents Society JOURNAL OF THE KOREA CONTENTS ASSOCIATION Vol.17 No.3 KCI Accredited Journals
Published
2017.3
Pages
42 - 52 (11page)

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Spherical Panorama Image Generation Method using Homography and Tracking Algorithm
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Research history (2)

2017

Spherical Panorama Image Generation Method using Homography and Tracking Algorithm
Ana ,  Munkhja ,  gal JOURNAL OF THE KOREA CONTENTS ASSOCIATION 2017.03 Academic journal
Spherical Panorama Image Generation using Adaptive Tracking Algorithm and Homography
아나르 미디어학과 2017.01 Thesis
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Abstract· Keywords

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Panorama image is a single image obtained by combining images taken at several viewpoints through matching of corresponding points. Existing panoramic image generation methods that find the corresponding points are extracting local invariant feature points in each image to create descriptors and using descriptor matching algorithm. In the case of video sequence, frames may be a lot, so therefore it may costs significant amount of time to generate a panoramic image by the existing method and it may has done unnecessary calculations. In this paper, we propose a method to quickly create a single panoramic image from a video sequence. By assuming that there is no significant changes between frames of the video such as in locally, we use the FAST algorithm that has good repeatability and high-speed calculation to extract feature points and the Lucas-Kanade algorithm as each feature point to track for find the corresponding points in surrounding neighborhood instead of existing descriptor matching algorithms. When homographies are calculated for all images, homography is changed around the center image of video sequence to warp images and obtain a planar panoramic image. Finally, the spherical panoramic image is obtained by performing inverse transformation of the spherical coordinate system. The proposed method was confirmed through the experiments generating panorama image efficiently and more faster than the existing methods.
#Panorama #Spherical Coordinate System #Lucas-Kanade #파노라마 #구면 좌표계 #루카스-카나데 #특징점 추적 #호모그래피

Contents

요약
Abstract
I. 서론
II. 본론
III. 실험결과 및 성능 평가
IV. 결론
참고문헌

References (15)

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[보고서] - R. Szeliski / 2004 / Image alignment and stitching: A tutorial google schola [학술대회논문] - A. Bartoli / 2002 / From video sequences to motion panoramas / IEEE Workshop on Motion and VideoComputing google schola [학술대회논문] - Y. Li / 2003 / Robust panorama from mpeg video / IEEE International Conference on Multimedia and Expo 2003 (ICME ’03) : 81 ~ 84 google schola [학술대회논문] - D. Steedly / 2005 / Efficiently Registering Video into Panoramic Mosaics / Tenth IEEE International Conference on Computer Vision(ICCV'05)IEEE 1 : 1300 ~ 1307 google schola [학술지(정기간행물)] - M. Brown / 2007 / Automatic panoramic image stitching using invariant features / International Journal of Computer Vision 74 : 59 ~ 73 google schola

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UCI(KEPA) : I410-ECN-0101-2017-310-002399173