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检索条件"机构=Intelligent Systems and Image Processing Laboratory"
210 条 记 录,以下是51-60 订阅
排序:
Active shape model-based gait recognition using infrared images
Active shape model-based gait recognition using infrared ima...
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作者: Kim, Daehee Lee, Seungwon Paik, Joonki Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Heuksuk-Dong Dongjak-Ku Seoul 156-756 Korea Republic of
We present a gait recognition system using infra-red (IR) images. Since an IR camera is not affected by the intensity of illumination, it is able to provide constant recognition performance regardless of the amount of... 详细信息
来源: 评论
Fog images Generation About Unmanned Surface Vessels with Improved Generative Adversarial Network  42
Fog Images Generation About Unmanned Surface Vessels with Im...
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42nd Chinese Control Conference, CCC 2023
作者: Tang, Yifeng Huang, Zhihui Tang, Chuancong Luo, Chuanshang Xu, Yifan Liu, Bin Zhang, Hai-Tao School of Artificial Intelligence and Automation The Engineering Research Center of Autonomous Intelligent Unmanned Systems The Key Laboratory of Image Processing and Intelligent Control Wuhan430074 China The State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan430074 China
This paper proposes a fog weather data augmentation method for the unmanned surface vessels (USVs) via improved Generative Adversarial Network(GAN) model. First, a generator scheme for GAN is proposed with the guided ... 详细信息
来源: 评论
A new time series classification approach
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SIGNAL processing 1996年 第2期54卷 191-199页
作者: Plataniotis, KN Androutsos, D Venetsanopoulos, AN Lainiotis, DG Department of Electrical and Computer Engineering Digital Signal & Image Processing Laboratory University of Toronto 10 King's College Rd. Toronto Ontario M5S 3G4 Canada Intelligent Systems Technology 3207 S. Hwy. A1A Melbourne Beach FL-32951 USA
A new, robust and computationally attractive approach to the problem of time series classification is discussed in this paper. Both the Bayesian as well as a new adaptive classification scheme for source selection are... 详细信息
来源: 评论
A fully digital auto-focusing system using a priori point spread function dataset
A fully digital auto-focusing system using a priori point sp...
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IEEE International Conference on Consumer Electronics (ICCE)
作者: Younguk Park Jaehwan Jeon Jinhee Lee Joonki Paik Image Processing and Intelligent Systems Laboratory Chung-Ang University Seoul South Korea
This paper presents a fully digital auto-focusing (FDAF) system using a priori obtained point spread function (PSF) dataset. The proposed FDAF algorithm aims at low-cost, affordable consumer's imaging electronics ... 详细信息
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Edge based adaptive Kalman filtering for real-time video stabilization
Edge based adaptive Kalman filtering for real-time video sta...
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IEEE International Conference on Consumer Electronics (ICCE)
作者: Ohyun Kwon Jeongho Shin Joonki Paik Image Processing and Intelligent Systems Laboratory Department of Image Engineering Chung-Ang University Seoul South Korea
image stabilization, particularly during zoom-in is an important feature in consumer cameras. Existing methods to stabilize an image often make an incorrect motion vector by an improper choice of motion estimation or ... 详细信息
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Sigmoidal Function Based Optimal Weighted Vector Directional Filters
Sigmoidal Function Based Optimal Weighted Vector Directional...
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Final Program and Proceedings of the PICS Conference: The Digital Photography Conference
作者: Lukac, Rastislav Stachowicz, Marian S. Slovak Image Processing Center Jarkova 343 049 25 Dobsina Slovakia Laboratory for Intelligent Systems Department of Electrical Engineering University of Minnesota Duluth 10 University Drive Duluth MN 55812 United States
In this paper, we provide a new directional optimization of a recently developed class of weighted vector directional filters (WVDFs) that represent a powerful tool for removing impulsive noise, bit errors and color a... 详细信息
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Automatic blurry pictures deletion tool for digital cameras
Automatic blurry pictures deletion tool for digital cameras
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5th International Conference on Visual Information Engineering, VIE 2008
作者: Tsomko, E. Hyoung, Joong Kim Paik, Joonki Yeo, In-Kwon Department of Information Management and Security CIST Korea University Korea Republic of Image Processing and Intelligent Systems Laboratory Chung-Ang University Korea Republic of Department of Statistics Sookmyung Women's University Korea Republic of
In this paper we present a new simple and efficient method for real-time automatic detecting and deleting blurry pictures while they are stored in digital cameras. Many digital cameras are equipped with auto-focusing ... 详细信息
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Weighted image defogging method using statistical RGB channel feature extraction
Weighted image defogging method using statistical RGB channe...
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International SoC Design Conference, ISOCC
作者: Inhye Yoon Jaehwan Jeon Jinhee Lee Joonki Paik Department of Image Processing and Intelligent Systems Laboratory Chung-Ang University Seoul South Korea
In this paper, we present a weighted adaptive image defogging method by extracting features in the RGB color channels. We adaptively detect an atmospheric light through undesired fog in the dark channel prior obtained... 详细信息
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Robust flocking for non-identical second-order nonlinear multi-agent systems
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Autonomous intelligent systems 2021年 第1期1卷 81-90页
作者: Xiuxian Li Housheng Su Li Li Department of Control Science and Engineering College of Electronics and Information Engineeringand Shanghai Research Institute for Intelligent Autonomous SystemsTongji UniversityShanghai 200092China Institute for Advanced Study Tongji UniversityShanghai 200092China School of Automation Image Processing and Intelligent Control Key Laboratory of Education Ministry of ChinaHuazhong University of Science and TechnologyLuoyu Road 1037Wuhan 430074China
This paper investigates the robust flocking problem for second-order nonlinear systems with a leader and external *** contrast with most of second-order systems in the literature,the intrinsic dynamics here are nonlin... 详细信息
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Optimization Techniques in Computer Vision  1
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丛书名: Advances in Computer Vision and Pattern Recognition
2016年
作者: Mongi A. Abidi Andrei V. Gribok Joonki Paik
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