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检索条件"机构=Image Processing and Intelligent System Laboratory Graduate School of Advanced Imaging Science"
81 条 记 录,以下是71-80 订阅
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Multi-Modal Human Verification Using Face and Speech
Multi-Modal Human Verification Using Face and Speech
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IEEE International Conference on Computer Vision systems (ICVS)
作者: Changhan Park Joonki Paik Taewoong Choi Soonhyob Kim Youngouk Kim J. Namkung Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea Multimedia Signal Processing Laboratory Kwangwoon University Seoul South Korea Precision Machinery Center Korea Electronics and Technology Institute Puchon Gyeonggi South Korea Intelligent Image Communication Laboratory Department of Computer Engineering Kwangwoon University Seoul South Korea
In this paper, we propose a personal verification method using both face and speech to improve the rate of single biometric verification. False acceptance rate (FAR) and false rejection rate (FRR) have been a fundamen... 详细信息
来源: 评论
Multimodal priority verification of face and speech using momentum back-propagation neural network
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3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks
作者: Park, Changhan Ki, Myungseok Namkung, Jaechan Paik, Joonki Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Huksuk-dong Tongjak-Ku Seoul 156-756 Korea Republic of Broadcasting Media Research Group Digital Broadcasting Research Division ETRI 161 Gajeong-dong Yuseong-Gu Daejeon 305-700 Korea Republic of Intelligent Image Communication Laboratory Department of Computer Engineering Kwangwoon University 447-1 Wolge-dong Nowon-Gu Seoul 139-701 Korea Republic of
In this paper, we propose a priority verification method for multimodal biometric features by using a momentum back-propagation artificial neural network (MBP-ANN). We also propose a personal verification method using... 详细信息
来源: 评论
Multi-modal human verification using face and speech
Multi-modal human verification using face and speech
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Fourth IEEE International Conference on Computer Vision systems, ICVS'06
作者: Park, Changhan Choi, Taewoong Kim, Youngouk Kim, Soonhyob Namkung, Jaechan Paik, Joonki Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Huksuk-dong Tongjak-Ku Seoul 156-756 Korea Republic of Multimedia Signal Processing Laboratory Department of Computer Engineering Kwangwoon University 447-1 Wolge-dong Nowon-Gu Seoul 139-701 Korea Republic of Intelligent Image Communication Laboratory Department of Computer Engineering Kwangwoon University 447-1 Wolge-dong Nowon-Gu Seoul 139-701 Korea Republic of Precision Machinery Center Korea Electronics Technology Institute 401-402 B/D 193 Yakdae-dong Wonmi-Gu Puchon Kyunggido 420-140 Korea Republic of
In this paper, we propose a personal verification method using both face and speech to improve the rate of single biometric verification. False acceptance rate (FAR) and false rejection rate (FRR) have been a fundamen... 详细信息
来源: 评论
High SNR flexible top hat monopole probe for 1.5 T MRI
High SNR flexible top hat monopole probe for 1.5 T MRI
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作者: Mohammadzadeh, M. Shahabadi, M. Soltanian-Zadeh, H. Tavakoli, A. Rafiei, B. Javidnia, D. Oghabian, M.A. Department of Physics Amir-Kabir University of Technology Tehran Iran School of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Health System Detroit MI United States Department of Electrical Engineering Amir-Kabir University of Technology Tehran Iran Medical Imaging Center Imam Khomeyni Hospital Tehran Iran Research Center for Science and Technology in Medicine Tehran University of Medical Sciences Tehran Iran
In this paper, design principles and application of a thin and flexible intravascular top hat monopole probe with increased signal-to-noise ratio (SNR) and improved longitudinal and radial coverage are described and c... 详细信息
来源: 评论
Optical flow-based tracking of deformable objects using a non-prior training active feature model  5th
Optical flow-based tracking of deformable objects using a no...
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5th Pacific Rim Conference on Multimedia, PCM 2004
作者: Kim, Sangjin Kang, Jinyoung Shin, Jeongho Lee, Seongwon Paik, Joonki Kang, Sangkyu Abidi, Besma Abidi, Mongi Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Huksuk-Dong Tongjak-Ku Seoul156-756 Korea Republic of Imaging Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering The University of Tennessee KnoxvilleTN37996-2100 United States
This paper presents a feature point tracking algorithm using optical flow under the non-prior training active feature model (NPT-AFM) framework. The proposed algorithm mainly focuses on analysis of deformable objects,... 详细信息
来源: 评论
Plane identification and segmentation from uncalibrated stereo based on evolutionary approach
Plane identification and segmentation from uncalibrated ster...
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IEEE International Symposium on intelligent Signal processing and Communication systems (ISPACS)
作者: Junghoon Jung Taekyung Kim Ohyun Kwon Joonki Paik Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea
Planes are widely used in various vision tasks due to their abundance especially in man-made environments. Assuming an uncalibrated stereo image acquisition system, we propose a new plane identification and segmentati... 详细信息
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Wavelet transform-based hierarchical active shape model for object tracking
Wavelet transform-based hierarchical active shape model for ...
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IEEE International Symposium on intelligent Signal processing and Communication systems (ISPACS)
作者: Hyunjong Ki Jeonho Shin Joonki Paik Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea
This paper proposes a hierarchical approach to the active shape model (ASM) using a wavelet transform. Local structure model fitting in the ASM plays an important role in model-based pose and shape analysis. The propo... 详细信息
来源: 评论
Enhanced active shape model using evolutionary computation and its extension to RGB color space
Enhanced active shape model using evolutionary computation a...
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IEEE International Symposium on intelligent Signal processing and Communication systems (ISPACS)
作者: V. Maik Hyunjong Ki Sangjin Kim Jeongho Shin Seongwon Lee L. Paik Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea
This paper deals with an application of evolutionary computation to active shape model (ASM) for locating and analyzing objects an image. The ASM algorithm has proved to be a successful method for segmentation of obje... 详细信息
来源: 评论
Automatic face region tracking for highly accurate face recognition in unconstrained environments
Automatic face region tracking for highly accurate face reco...
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IEEE Conference on advanced Video and Signal Based Surveillance (AVSS)
作者: Y.-O. Kim J. Paik Jingu Heo A. Koschan B. Abidi M. Abidi Korea Electronics and Technology Institute Puchon Gyeonggi South Korea Image Processing Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea Imaging Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Tennessee Knoxville USA
We present a combined real-time face region tracking and highly accurate face recognition technique for an intelligent surveillance system. High-resolution face images are very important to achieving accurate identifi... 详细信息
来源: 评论
Dense range image smoothing using adaptive regularization
Dense range image smoothing using adaptive regularization
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IEEE International Conference on image processing
作者: Yiyong Sun Joon-Ki Paik J.R. Price M.A. Abidi Department of Electrical and Computer Engineering Imaging Robotics and Intelligent Systems Laboratory University of Tennessee Knoxville USA Department of Image Engineering Graduate School of Advanced Imaging Science Chung-Ang University Seoul South Korea
We propose an adaptive regularization algorithm for smoothing dense range images using a novel, first order stabilizing function. The stabilizer we suggest is based upon minimizing the reconstructed surface area and i... 详细信息
来源: 评论