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In Kwon Lee

Yonsei University · Computer Science

About the Lab

Professor In Kwon Lee's research lab specializes in computational geometry, animation synthesis, and motion modeling, with a focus on creating realistic and stylized digital characters and surfaces from real-world data. The lab develops innovative algorithms for reconstructing pipe and canal surfaces from point clouds, enabling applications in 3D modeling and medical imaging. It also pioneers techniques for transforming motion capture data into cartoon-like, exaggerated animations using trajectory-based exaggeration and mass-spring simulations, achieving real-time performance. Additionally, the lab explores facial caricature generation through 3D face modeling and 2D exaggeration, blending computer graphics with artistic expression.

3D reconstructionstylized animationmotion exaggerationface modelingpoint cloud processing

Research Overview

Papers
199
Total Citations
2,204
Papers (5y)
34
Primary Field
Computer Science

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
34total
2022
2023
2024
2025
2026
Citations per year (5y)
132total
20222023202420252026

Selected Papers

15
1
Article|296 citations·2000
Curve reconstruction from unorganized points
In‐Kwon Lee
SJR Q2Computer Aided Geometric Design
Computational MechanicsEngineering
2
Article|104 citations·1996
Planar curve offset based on circle approximation
In‐Kwon Lee, Myung Soo Kim, Gershon Elber
SJR Q1Computer-Aided Design
Computational MechanicsEngineering
3
Article|102 citations·1998
Polynomial/Rational Approximation of Minkowski Sum Boundary Curves
In‐Kwon Lee, Myung-Soo Kim, Gershon Elber
Graphical Models and Image Processing
Computational MechanicsEngineering
4
Article|66 citations·2010
Temporally coherent video matting
Sun‐Young Lee, Jong‐Chul Yoon, In‐Kwon Lee
SJR Q2Graphical Models
Computer Vision and Pattern RecognitionComputer Science
5
Article|65 citations·2015
Chaotic image encryption using pseudo-random masks and pixel mapping
Xiaowei Li, Chengqing Li, In‐Kwon Lee
SJR Q1Signal Processing
Computer Vision and Pattern RecognitionComputer Science
6
Article|52 citations·2014
Modified computational integral imaging-based double image encryption using fractional Fourier transform
Wei Li, In‐Kwon Lee
SJR Q1Optics and Lasers in Engineering
Media TechnologyEngineering
7
Article|34 citations·2002
Bid-Rigging in Auctions for Korean Public-Works Contracts and Potential Damage
In‐Kwon Lee, Kyungdong Hahn
SJR Q1Review of Industrial Organization
Economics and EconometricsEconomics, Econometrics and Finance
8
Article|26 citations·2008
Automated music video generation using multi-level feature-based segmentation
Jong‐Chul Yoon, In‐Kwon Lee, Siwoo Byun
SJR Q1Multimedia Tools and Applications
Signal ProcessingComputer Science
9
Article|24 citations·2007
Enriching a motion database by analogous combination of partial human motions
Won-Seob Jang, Won‐Kyu Lee, In‐Kwon Lee, Jehee Lee
SJR Q2The Visual Computer
Control and Systems EngineeringEngineering
10
Article|18 citations·2008
Determination of camera parameters for character motions using motion area
Ji-Yong Kwon, In‐Kwon Lee
SJR Q2The Visual Computer
Computer Vision and Pattern RecognitionComputer Science
11
Article|18 citations·2016
Encrypting 2D/3D image using improved lensless integral imaging in Fresnel domain
Wei Li, Qiong-Hua Wang, Seok-Tae Kim, In‐Kwon Lee
SJR Q2Optics Communications
Computer Vision and Pattern RecognitionComputer Science
12
Article|16 citations·2004
Shrinking: another method for surface reconstruction
In‐Kwon Lee, Ku‐Jin Kim

We present a method to reconstruct a pipe or a canal surface from a point cloud (a set of unorganized points). A pipe surface is defined by a spine curve and a constant radius of a swept sphere, while a variable radius may be used to define a canal surface. In this paper, by using the shrinking and moving least-squares methods, we reduce a point cloud to a thin curve-like point set which will be approximated to the spine curve of a pipe or canal surface. The distance between a point in the thin

Computational MechanicsEngineering
13
Article|14 citations·2008
Exaggerating Character Motions Using Sub‐Joint Hierarchy
Ji‐yong Kwon, In‐Kwon Lee
SJR Q1Computer Graphics Forum

Abstract Motion capture cannot generate cartoon‐style animation directly. We emulate the rubber‐like exaggerations common in traditional character animation as a means of converting motion capture data into cartoon‐like movement. We achieve this using trajectory‐based motion exaggeration while allowing the violation of link‐length constraints. We extend this technique to obtain smooth, rubber‐like motion by dividing the original links into shorter sub‐links and computing the positions of joints

Control and Systems EngineeringEngineering
14
Article|12 citations·2015
Robustness enhancement for image hiding algorithm in cellular automata domain
Xiaowei Li, Seok-Tae Kim, In‐Kwon Lee
SJR Q2Optics Communications
Computer Vision and Pattern RecognitionComputer Science
15
Article|10 citations·2014
3D image copyright protection based on cellular automata transform and direct smart pixel mapping
Wei Li, Seok-Tae Kim, In‐Kwon Lee
SJR Q2Optics Communications
Computer Vision and Pattern RecognitionComputer Science

Research Areas

Computer Vision and Pattern RecognitionComputational MechanicsHuman-Computer InteractionControl and Systems EngineeringSignal ProcessingComputer Graphics and Computer-Aided Design

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