Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Kyungkoo Jun"'
Autor:
Hojin Yoo, Kyungkoo Jun
Publikováno v:
Sensors, Vol 23, Iss 3, p 1177 (2023)
Deep models have been studied in point cloud classification for the applications of autonomous driving and robotics. One challenging issue is that the point cloud of the same object could be discrepantly captured depending on sensors. Such a differen
Externí odkaz:
https://doaj.org/article/d31c092746ab4f72ad3472d0d8b72acb
Autor:
Kyungkoo Jun
Publikováno v:
Sensors, Vol 22, Iss 17, p 6565 (2022)
Rectification of vehicle plate images helps to improve the accuracy of license-plate recognition (LPR). It is a perspective-transformation process to project images as if taken from the front geometrically. To obtain the projection matrix, we require
Externí odkaz:
https://doaj.org/article/a9198df3b27a48ba8e5d76c3080d7b70
Autor:
Hojin Yoo, Kyungkoo Jun
Publikováno v:
Information, Vol 11, Iss 4, p 221 (2020)
The orientation of plate images in license plate recognition is one of the factors that influence its accuracy. In particular, tilted plate images are harder to detect and recognize characters with than aligned ones. To this end, the rectification of
Externí odkaz:
https://doaj.org/article/bb5b033fe2a846c6837a72157a2a1ad3
Autor:
Dongjin Park, Kyungkoo Jun
Publikováno v:
Advances in Multimedia, Vol 2017 (2017)
Internet services that share vehicle black box videos need a way to obfuscate license plates in uploaded videos because of privacy issues. Thus, plate detection is one of the critical functions that such services rely on. Even though various types of
Externí odkaz:
https://doaj.org/article/1d023751f5e24d84ae9bc770d9dc2787
Autor:
Sooeon Lee, Seungheyon Lee, Yumin Choi, Jalel Ben-Othman, Lynda Mokdad, Kyungkoo Jun, Hyunbum Kim
Publikováno v:
IEEE Communications Magazine. :1-7
Autor:
Hojin Yoo, Kyungkoo Jun
Publikováno v:
Journal of KIISE. 49:126-136
Autor:
Kyungkoo Jun
Publikováno v:
Scientific Programming.
The license plate recognition performance can be improved by converting the license plate photographed from the side to the front view. To perform this transformation, four vertex corner positions of the license plate are required. Existing deep lear
Autor:
Hojin Yoo, Kyungkoo Jun
Publikováno v:
Multimedia Systems. 27:779-786
Skewness and obliqueness of vehicle plate images influence license plate recognition. The more tilted plate images are, the harder the recognition task is. To this end, if plate images are preprocessed to be aligned and rectified, the recognition per
Autor:
Kyungkoo Jun
Publikováno v:
International Journal of Sensors, Wireless Communications and Control. 9:16-31
Background & Objective: This paper proposes a Fourier transform inspired method to classify human activities from time series sensor data. Methods: Our method begins by decomposing 1D input signal into 2D patterns, which is motivated by the Fourier c
We propose and investigate the use of visibility graphs to model the feature map of a neural network. Initially devised for studies on complex networks, we employ this type of model for classification of texture images. An alternative viewpoint provi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::861f20ffe0eaa44d271339c6cbc94bd1