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2020 – today
- 2024
[j9]Jaehyun So, Youngjoon Han:
3D face alignment through fusion of head pose information and features. Image Vis. Comput. 151: 105253 (2024)- 2023
- [j8]Jaehyun So
, Youngjoon Han:
Heatmap-Guided Selective Feature Attention for Robust Cascaded Face Alignment. Sensors 23(10): 4731 (2023) - [i1]Jaehyun So, Youngjoon Han:
3D Face Alignment Through Fusion of Head Pose Information and Features. CoRR abs/2308.13327 (2023)
2010 – 2019
- 2016
- [j7]Qing Lin, Youngjoon Han:
A Dual-Field Sensing Scheme for a Guidance System for the Blind. Sensors 16(5): 667 (2016) - 2014
- [j6]Xiaowei An, Jaedo Kim, Youngjoon Han:
Optimal colour-based mean shift algorithm for tracking objects. IET Comput. Vis. 8(3): 235-244 (2014) - [j5]Qing Lin, Youngjoon Han:
A Context-Aware-Based Audio Guidance System for Blind People Using a Multimodal Profile Model. Sensors 14(10): 18670-18700 (2014) - 2013
- [c15]Jiayong Deng, Youngjoon Han:
A real-time system of lane detection and tracking based on optimized RANSAC B-spline fitting. RACS 2013: 157-164 - 2010
- [c14]Seungtae Lee, Youngjoon Han, Hernsoo Hahn:
Disparity Estimation Method Based on Reliability Space Using Color Edge. FGIT-SIP/MulGraB 2010: 35-42 - [c13]Chan-Ho Lee, Jong-Kyu Oh, Sang-Hun Lee, Sung-Hyun Jung, Jong-Sung Hur, Sangbum Park, Youngjoon Han, Hernsoo Hahn:
Development of a Robot Vision System for Measuring 3D Pose of Large Object using Virtual Plane Algorithm. ISR/ROBOTIK 2010: 1-6
2000 – 2009
- 2008
- [j4]Kwang-Soo Hahn, Sungcheol Jung, Youngjoon Han, Hernsoo Hahn:
A new algorithm for ellipse detection by curve segments. Pattern Recognit. Lett. 29(13): 1836-1841 (2008) - [c12]Seungsuk Ha, Youngjoon Han, Hernsoo Hahn:
Natural gait generation of biped robot based on captured human motion image. MFI 2008: 522-525 - [c11]Jaehyoung Yu, Youngjoon Han, Hernsoo Hahn:
An Efficient Extraction of On-Road Object and Lane Information Using Representation Method. SITIS 2008: 327-332 - 2007
- [c10]Kwang-Soo Hahn, Youngjoon Han, Hernsoo Hahn:
Extraction of Partially Occluded Elliptical Objects by Modified Randomized Hough Transform. KI 2007: 323-336 - [c9]Kwanghyun Kim, Youngjoon Han, Hernsoo Hahn:
Contrast Enhancement Scheme Integrating Global and Local Contrast Equalization Approaches. SITIS 2007: 493-500 - 2006
- [c8]Hernsoo Hahn, Youngjoon Han:
Detection and Localization of the Top Object in the Stack of Objects. ISVC (2) 2006: 116-125 - [c7]Hernsoo Hahn, Youngjoon Han:
Recognition of 3D Object Using Attributed Relation Graph of Silhouette's Extended Convex Hull. ISVC (2) 2006: 126-135 - 2005
- [j3]Youngjoon Han, Hernsoo Hahn:
Visual tracking of a moving target using active contour based SSD algorithm. Robotics Auton. Syst. 53(3-4): 265-281 (2005) - [c6]Younjeong Lee, Hernsoo Hahn, Youngjoon Han, Joohun Lee:
Robust Speaker Identification Based on t-Distribution Mixture Model. Australian Conference on Artificial Intelligence 2005: 896-899 - [c5]Kyunghwan Baek, Byoungki Kim, Sangbum Park, Youngjoon Han, Hernsoo Hahn:
Multiple Face Tracking Using Kalman Estimator Based Color SSD Algorithm. Australian Conference on Artificial Intelligence 2005: 1229-1232 - [c4]Youngjoon Han, Hernsoo Hahn:
A New Snake Model Robust on Overlap and Bias Problems in Tracking a Moving Target. CAIP 2005: 636-643 - 2004
- [c3]Boohyung Lee, Youngjoon Han, Hwanik Chung, Hernsoo Hahn:
Understanding of hand motion in sentence level using HMM. Human Vision and Electronic Imaging 2004: 434-443 - [c2]Youngjoon Han, Hawik Chung, Hernsoo Hahn:
Fast Fractal Image Encoder Using Non-overlapped Block Classification and Simplified Isometry Testing Scheme. PCM (3) 2004: 207-214 - 2001
- [j2]Youngjoon Han, Moonyong Han, Hyungtae Cha, Mincheol Hong, Hernsoo Hahn:
Tracking of a moving object using ultrasonic sensors based on a virtual ultrasonic image. Robotics Auton. Syst. 36(1): 11-19 (2001) - 2000
- [j1]Youngjoon Han, Hernsoo Hahn:
Localization and classification of target surfaces using two pairs of ultrasonic sensors. Robotics Auton. Syst. 33(1): 31-41 (2000)
1990 – 1999
- 1999
- [c1]Youngjoon Han, Hernsoo Hahn:
Localization and Classification of Target Surfaces Using Two Pairs of Ultrasonic Sensors. ICRA 1999: 637-643
Coauthor Index
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