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http://dx.doi.org/10.9708/jksci.2019.24.01.085

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

Won, Yu-Hyeon (Dept. of Computer Science and Engineering, Soongsil University)
Kim, Jin-Sung (Dept. of Computer Science and Engineering, Soongsil University)
Park, Byuong-Chan (Dept. of Computer Science and Engineering, Soongsil University)
Kim, Young-Mo (Dept. of Computer Science and Engineering, Soongsil University)
Kim, Seok-Yoon (Dept. of Computer Science and Engineering, Soongsil University)
Publication Information
Journal of the Korea Society of Computer and Information / v.24, no.1, 2019 , pp. 85-92 More about this Journal
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;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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