An Efficient Feature Point Extraction Method for 360˚ Realistic Media Utilizing High Resolution Characteristics (360도 실감형 미디어에서의 고해상도에 대한 특징을 활용한 특징점 추출 방법)

Yu-Hyeon Won (원유현); JIN SUNG KIM (김진성); Byuong-Chan Park (박병찬); Youngmo Kim (김영모); Seok-Yoon Kim (김석윤)

doi:10.9708/jksci.2019.24.01.085

An Efficient Feature Point Extraction Method for 360˚ Realistic Media Utilizing High Resolution Characteristics

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2019, 24(1), pp.85-92
DOI : 10.9708/jksci.2019.24.01.085
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : December 3, 2018
Accepted : January 8, 2019
Published : January 31, 2019

Yu-Hyeon Won ¹, JIN SUNG KIM ¹, Byuong-Chan Park ¹, Youngmo Kim ¹, Seok-Yoon Kim ¹

¹숭실대학교

Accredited

ABSTRACT

In this paper, we propose a efficient feature point extraction method that can solve the problem of performance degradation by introducing a preprocessing process when extracting feature points by utilizing the characteristics of 360-degree realistic media. 360-degree realistic media is composed of images produced by two or more cameras and this image combining process is accomplished by extracting feature points at the edges of each image and combining them into one image if they cover the same area. In this production process, however, the stitching process where images are combined into one piece can lead to the distortion of non-seamlessness. Since the realistic media of 4K-class image has higher resolution than that of a general image, the feature point extraction and matching process takes much more time than general media cases.

KEYWORDS

VR(Virtual Reality), AR(Augmented Reality), Feature Point Extraction, Realistic, Video, OMAF, MPEG-I

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* References for papers published after 2023 are currently being built.

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[thesis] Byung Woo Chung / 2013 / A Fast and Efficient Haar-Like Feature Selection Algorithm for Object Detection / Masters / Sogang University

[thesis] Jong Seong Kim / 2004 / A Study on the Auto-Threshold Value Decision Method of Region Merging for Minimization of Over-segmentation in Image / Masters / Cheongju University

[thesis] Soo Woong Jung / 2012 / A study on the efficient face retrieval system using SURF-based feature extraction / Masters / Chung-Ang University

[journal] 허훈 / 2013 / FPGA based Implementation of FAST and BRIEF algorithm for Object Recognition / 전기전자학회논문지 / 한국전기전자학회 17(2) : 202~207

[web] / Dark-programer / http://darkpgmr.tistory.com

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

An Efficient Feature Point Extraction Method for 360˚ Realistic Media Utilizing High Resolution Characteristics

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Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

An Efficient Feature Point Extraction Method for 360˚ Realistic Media Utilizing High Resolution Characteristics

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.