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Prof. Gongping Yang
at Shandong Univ
SPIE Involvement:
Editorial Board Member: Journal of Electronic Imaging | Author
Area of Expertise:
Pattern Recognition , Biometrics , Computer Vision
Websites:
Personal Website
Profile Summary
Dr. Gongping Yang received his Bachelor degree in Computer and Application, Master and Ph.D. degrees in Computer Software and Theory from Shandong University, Jinan, China, in 1992, 2001 and 2007, respectively. Since 2013, he has been a Professor in School of Software at Shandong University, Jinan, China. At present, he is a Senior member of CCF and CAAI, also serve as the Machine Learning Technical Committee of CAAI and Artificial Intelligence and Pattern Recognition Technical Committee of CCF. During the past several years, he has served as a program committee member/organization/program chair of several conferences and editorial board member of some academic journals.
Publications (4)
SPIE Journal Paper | 23 March 2024
Multilevel feature aggregation and enhancement network for remote sensing change detection
Wenkai Yan, Yikun Liu, Mingsong Li, Ruifan Zhang, Gongping Yang
JARS, Vol. 18, Issue 01, 016513, (March 2024) https://doi.org/10.1117/12.10.1117/1.JRS.18.016513
KEYWORDS: Remote sensing, Feature extraction, Feature fusion, Image fusion, Convolution, Data modeling, Semantics, Visualization, Education and training, Image enhancement
SPIE Journal Paper | 24 January 2014
Finger vein recognition based on the hyperinformation feature
Xiaoming Xi, Gongping Yang, Yilong Yin, Lu Yang
OE, Vol. 53, Issue 01, 013108, (January 2014) https://doi.org/10.1117/12.10.1117/1.OE.53.1.013108
KEYWORDS: Veins, Feature extraction, Databases, Principal component analysis, Optical engineering, Biometrics, Image segmentation, Stars, Image processing, Infrared cameras
SPIE Journal Paper | 11 June 2013
Sensor-oriented feature usability evaluation in fingerprint segmentation
OE, Vol. 52, Issue 06, 067201, (June 2013) https://doi.org/10.1117/12.10.1117/1.OE.52.6.067201
KEYWORDS: Sensors, Image segmentation, Databases, Feature extraction, Chromium, Optical engineering, Optical sensors, Error analysis, Image sensors, Electro optical sensors
SPIE Journal Paper | 18 February 2013
Finger vein image quality evaluation using support vector machines
Lu Yang, Gongping Yang, Yilong Yin, Rongyang Xiao
OE, Vol. 52, Issue 2, 027003, (February 2013) https://doi.org/10.1117/12.10.1117/1.OE.52.2.027003
KEYWORDS: Image quality, Databases, Veins, Feature extraction, Image classification, Image processing, Image filtering, Image enhancement, Optical engineering, Reliability
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