Zobrazeno 1 - 10
of 459
pro vyhledávání: '"Hyo Jong Lee"'
Autor:
Yingmei Zhang, Hyo Jong Lee
Publikováno v:
IEEE Access, Vol 11, Pp 33666-33681 (2023)
Infrared and visible image fusion aims to obtain an image that can retain the prominent infrared target and the detailed texture information from the source images. Most scale filter-based decomposition methods mainly attempt to extract more detailed
Externí odkaz:
https://doaj.org/article/beb1b714317443f5808e38037534fc13
Publikováno v:
Applied Sciences, Vol 14, Iss 1, p 230 (2023)
This research proposes a deep learning method for classifying student behavior in classrooms that follow the professional learning community teaching approach. We collected data on five student activities: hand-raising, interacting, sitting, turning
Externí odkaz:
https://doaj.org/article/132ff405e8534685bad02003b76dffc4
Publikováno v:
Applied Sciences, Vol 13, Iss 11, p 6816 (2023)
Aerial images are important for monitoring land cover and land resource management. An aerial imaging source which keeps its position at a higher altitude, and which has a considerable duration of airtime, employs wireless communications for sending
Externí odkaz:
https://doaj.org/article/253aca12718a4f9c945ef0f1e01a061c
Autor:
Aung Si Min Htet, Hyo Jong Lee
Publikováno v:
Applied Sciences, Vol 13, Iss 11, p 6363 (2023)
Palm vein recognition has received some considerable attention regarding its use in biometric identification. Palm vein characteristics offer a superior level of security and reliability in personal identification compared to extrinsic methods such a
Externí odkaz:
https://doaj.org/article/1e0d6208ef1c472cb6c2336ff31d8a4e
Autor:
Yue Que, Hyo Jong Lee
Publikováno v:
IET Image Processing, Vol 15, Iss 1, Pp 115-126 (2021)
Abstract Digital imaging devices sometimes capture images with abnormal exposure because of the complex lighting conditions and limited dynamic range of luminance. In this work, a new residual dense U‐Net is proposed to predict the information that
Externí odkaz:
https://doaj.org/article/238861b61b6a40ff8d2ff6e8e9214e9a
Autor:
Thaileang Sung, Hyo Jong Lee
Publikováno v:
IEEE Access, Vol 9, Pp 152047-152056 (2021)
Removing snow particles from an image is a complicated task due to the particles’ shape, size, and color. The latest snow removal methods remove snow from a single image but retain some snow and salt-and-pepper particles. Some approaches, while try
Externí odkaz:
https://doaj.org/article/16014842dee649498f797e4a289e5338
Autor:
Chenmou Wu, Hyo Jong Lee
Publikováno v:
IEEE Access, Vol 9, Pp 159371-159381 (2021)
Automatic and efficient 3D object modeling has become critical in industrial applications. The advancement of deep convolutional neural networks (CNNs) has prompted researchers to use CNNs for learning 3D geometry information directly from images. Ho
Externí odkaz:
https://doaj.org/article/6becf7f19979409384e62989f4fe2d84
Autor:
Zongjing Cao, Hyo Jong Lee
Publikováno v:
IEEE Access, Vol 8, Pp 184644-184655 (2020)
In recent years, person re-identification based on deep learning approaches has made great progress and achieved good results. However, many of the latest network design methods, which usually deploy ResNet or SENet as the backbone network, were orig
Externí odkaz:
https://doaj.org/article/3d3f4eff296640169fec6a808c8c2824
Autor:
Yingmei Zhang, Hyo Jong Lee
Publikováno v:
Applied Sciences, Vol 13, Iss 5, p 2907 (2023)
With the industrial demand caused by multi-sensor image fusion, infrared and visible image fusion (IVIF) technology is flourishing. In recent years, scale decomposition methods have led the trend for feature extraction. Such methods, however, have lo
Externí odkaz:
https://doaj.org/article/a25c55c1309c4a6293cdb20303ac98e4
Publikováno v:
IEEE Access, Vol 7, Pp 105789-105799 (2019)
Face recognition is an important biometric due to its non-intrusive collection of data that can be applied to surveillance systems. However, the human pose is unconstrained under surveillance, and there is only one frontal face available in the galle
Externí odkaz:
https://doaj.org/article/fb78e0f93ac449ce89852ff078063694