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ORCIDHyeon Chang Lee
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2010 – 2019
- 2016
[j10]Dong-Wook Jung, Jong Man Lee, Su Yeong Gwon, Weiyuan Pan, Hyeon Chang Lee, Kang Ryoung Park, Hyun-Cheol Kim:
Compensation Method of Natural Head Movement for Gaze Tracking System Using an Ultrasonic Sensor for Distance Measurement. Sensors 16(1): 110 (2016)- 2015
- [j9]Jong Man Lee, Hyeon Chang Lee, Su Yeong Gwon, Dong-Wook Jung, Weiyuan Pan, Chul Woo Cho, Kang Ryoung Park, Hyun-Cheol Kim, Jihun Cha:
A New Gaze Estimation Method Considering External Light. Sensors 15(3): 5935-5981 (2015) - [j8]Ji Hoon Lee, Jong-Suk Choi, Eun Som Jeon, Yeong Gon Kim, Toan Thanh Le, Kwang Yong Shin, Hyeon Chang Lee, Kang Ryoung Park:
Robust Pedestrian Detection by Combining Visible and Thermal Infrared Cameras. Sensors 15(5): 10580-10615 (2015) - 2014
- [j7]Su Yeong Gwon, Chul Woo Cho, Hyeon Chang Lee, Won Oh Lee, Kang Ryoung Park:
Gaze Tracking System for User Wearing Glasses. Sensors 14(2): 2110-2134 (2014) - [j6]Hyung Gil Hong, Gi Pyo Nam, Hyeon Chang Lee, Kang Ryoung Park, Sung Min Kim:
New System for Tracking a Device for Diagnosing Scalp Skin. Sensors 14(4): 6516-6534 (2014) - 2013
- [j5]Dat Tien Nguyen, Young Ho Park, Kwang Yong Shin, Seung Yong Kwon, Hyeon Chang Lee, Kang Ryoung Park:
Fake finger-vein image detection based on Fourier and wavelet transforms. Digit. Signal Process. 23(5): 1401-1413 (2013) - [j4]Hyeon Chang Lee, Won Oh Lee, Chul Woo Cho, Su Yeong Gwon, Kang Ryoung Park, Heekyung Lee, Jihun Cha:
Remote Gaze Tracking System on a Large Display. Sensors 13(10): 13439-13463 (2013) - 2010
- [j3]Hyeon Chang Lee, Byung Jun Kang, Eui Chul Lee, Kang Ryoung Park:
Finger vein recognition using weighted local binary pattern code based on a support vector machine. J. Zhejiang Univ. Sci. C 11(7): 514-524 (2010) - [j2]Hyeon Chang Lee, Duc Thien Luong, Chul Woo Cho, Eui Chul Lee, Kang Ryoung Park:
Gaze tracking system at a distance for controlling IPTV. IEEE Trans. Consumer Electron. 56(4): 2577-2583 (2010)
2000 – 2009
- 2009
- [j1]Eui Chul Lee, Hyeon Chang Lee, Kang Ryoung Park:
Finger vein recognition using minutia-based alignment and local binary pattern-based feature extraction. Int. J. Imaging Syst. Technol. 19(3): 179-186 (2009)
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