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344 results on '"Lee, Sangyoun"'

107. Face Recognition Based on Near-Infrared Light Using Mobile Phone

Author

Han, Song-yi, Park, Hyun-Ae, Cho, Dal-ho, Park, Kang Ryoung, Lee, Sangyoun, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Rangan, C. Pandu, editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Beliczynski, Bartlomiej, editor, Dzielinski, Andrzej, editor, Iwanowski, Marcin, editor, and Ribeiro, Bernardete, editor

Published
2007
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108. Automatic Pose-Normalized 3D Face Modeling and Recognition Systems

Author

Yu, Sunjin, Choi, Kwontaeg, Lee, Sangyoun, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Chang, Long-Wen, editor, and Lie, Wen-Nung, editor

Published
2006
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109. Robust Design of Face Recognition Systems

Author

Yu, Sunjin, Lee, Hyobin, Kim, Jaihie, Lee, Sangyoun, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Gavrilova, Marina L., editor, Gervasi, Osvaldo, editor, Kumar, Vipin, editor, Tan, C. J. Kenneth, editor, Taniar, David, editor, Laganá, Antonio, editor, Mun, Youngsong, editor, and Choo, Hyunseung, editor

Published
2006
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110. Robust 3D Face Data Acquisition Using a Sequential Color-Coded Pattern and Stereo Camera System

Author

Kim, Ildo, Kim, Sangki, Yu, Sunjin, Lee, Sangyoun, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Gavrilova, Marina L., editor, Gervasi, Osvaldo, editor, Kumar, Vipin, editor, Tan, C. J. Kenneth, editor, Taniar, David, editor, Laganá, Antonio, editor, Mun, Youngsong, editor, and Choo, Hyunseung, editor

Published
2006
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111. Invertible Watermarking Algorithm with Detecting Locations of Malicious Manipulation for Biometric Image Authentication

Author

Lim, Jaehyuck, Lee, Hyobin, Lee, Sangyoun, Kim, Jaihie, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Zhang, David, editor, and Jain, Anil K., editor

Published
2005
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112. Rapid 3D Face Data Acquisition Using a Color-Coded Pattern and a Stereo Camera System

Author

Kim, Byoungwoo, Yu, Sunjin, Lee, Sangyoun, Kim, Jaihie, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Zhang, David, editor, and Jain, Anil K., editor

Published
2005
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113. 3D Face Recognition Based on Facial Shape Indexes with Dynamic Programming

Author

Song, Hwanjong, Yang, Ukil, Lee, Sangyoun, Sohn, Kwanghoon, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Zhang, David, editor, and Jain, Anil K., editor

Published
2005
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117. Hierarchical Shot Clustering for Video Summarization

Author

Choi, YoungSik, Kim, Sun Jeong, Lee, Sangyoun, Goos, Gerhard, editor, Hartmanis, Juris, editor, van Leeuwen, Jan, editor, Sloot, Peter M. A., editor, Hoekstra, Alfons G., editor, Tan, C. J. Kenneth, editor, and Dongarra, Jack J., editor

Published
2002
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141. Alignment-free cancelable fingerprint templates based on local minutiae information

Author

Lee, Chulhan, Choi, Jeung-Yoon, Toh, Kar-Ann, Lee, Sangyoun, and Kim, Jaihie

Subjects
Biometric technology, Fingerprints -- Analysis, Biometry -- Analysis, Biometry -- Safety and security measures
Abstract

To replace compromised biometric templates, cancelable biometrics has recently been introduced. The concept is to transform a biometric signal or feature into a new one for enrollment and matching. For making cancelable fingerprint templates, previous approaches used either the relative position of a minutia to a core point or the absolute position of a minutia in a given fingerprint image. Thus, a query fingerprint is required to be accurately aligned to the enrolled fingerprint in order to obtain identically transformed minutiae. In this paper, we propose a new method for making cancelable fingerprint templates that do not require alignment. For each minutia, a rotation and translation invariant value is computed from the orientation information of neighboring local regions around the minutia. The invariant value is used as the input to two changing functions that output two values for the translational and rotational movements of the original minutia, respectively, in the cancelable template. When a template is compromised, it is replaced by a new one generated by different changing functions. Our approach preserves the original geometric relationships (translation and rotation) between the enrolled and query templates after they are transformed. Therefore, the transformed templates can be used to verify a person without requiring alignment of the input fingerprint images. In our experiments, we evaluated the proposed method in terms of two criteria: performance and changeability. When evaluating the performance, we examined how verification accuracy varied as the transformed templates were used for matching. When evaluating the changeability, we measured the dissimilarities between the original and transformed templates, and between two differently transformed templates, which were obtained from the same original fingerprint. The experimental results show that the two criteria mutually affect each other and can be controlled by varying the control parameters of the changing functions. Index Terms--Alignment, cancelable biometrics, fingerprint, privacy concerns, security.

Published
2007

147. Three-dimensional sensor-based face recognition

Author

Song, Hwanjong, Lee, Sangyoun, Kim, Jaihie, and Sohn, Kwanghoon

Subjects
Optics -- Research, Biometry -- Research, Biometric technology, Astronomy, Physics
Abstract

We describe a face recognition system based on two different three-dimensional (3D) sensors. We use 3D sensors to overcome the pose-variation problems that cannot be effectively solved in two-dimensional images. We acquire input data based on a structured-light system and compare it with 3D faces that are obtained from a 3D laser scanner. Owing to differences in structure between the input data and the 3D faces, we can generate the range images of the probe and stored images. For estimating the head pose of input data, we propose a novel error-compensated singular-value decomposition that geometrically estimates the rotation angle. Face recognition rates obtained with principal component analysis on various range images of 35 people in different poses show promising results.

Published
2005

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