Skip to main content

Hyunjaesang Hwang

Yonsei University · 情報科学

研究室紹介

Professor Hyunjaesang Hwang's research lab specializes in advanced 3D shape measurement and digital fringe projection techniques, focusing on high-speed, high-accuracy, and absolute 3D profilometry using structured light systems. The lab develops innovative computational frameworks that integrate geometric constraints, phase unwrapping algorithms, and real-time synchronization of high-speed projectors and cameras to enable precise 3D reconstruction in dynamic and complex environments. Key research directions include autofocusing with tunable lenses, noise-resilient multi-frequency phase-shifting algorithms, and the application of dual-telecentric optics for microscopic 3D measurement. The lab also pioneers novel methods for absolute phase unwrapping and sub-pixel accuracy through geometric modeling and temporal phase unwrapping strategies.

3D profilometrystructured lightphase unwrappinghigh-speed imagingtunable lens

Research Overview

Papers
65
Total Citations
674
Papers (5y)
45
Primary Field
情報科学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
45total
2021
2023
2024
2025
2026
Citations per year (5y)
42total
20212023202420252026

Selected Papers

15
1
Article|241 citations·2016
Pixel-wise absolute phase unwrapping using geometric constraints of structured light system
Yatong An, Jae‐Sang Hyun, Song Zhang
SJR Q1Optics ExpressOA

This paper presents a method to unwrap phase pixel by pixel by solely using geometric constraints of the structured light system without requiring additional image acquisition or another camera. Specifically, an artificial absolute phase map, Φmin, at a given virtual depth plane z = zmin, is created from geometric constraints of the calibrated structured light system; the wrapped phase is pixel-by-pixel unwrapped by referring to Φmin. Since Φmin is defined in the projector space, the unwrapped p

Computer Vision and Pattern RecognitionComputer Science
2
Article|118 citations·2016
Enhanced two-frequency phase-shifting method
Jae‐Sang Hyun, Song Zhang
SJR Q2Applied Optics

One of the major challenges of employing a two-frequency (or two-wavelength) phase-shifting algorithm for absolute three-dimensional shape measurement is its sensitivity to noise. Therefore, three- or more-frequency phase-shifting algorithms are often used in lieu of a two-frequency phase-shifting algorithm for applications where the noise is severe. This paper proposes a method to use geometric constraints of digital fringe projection system to substantially reduce the noise impact by allowing

Computer Vision and Pattern RecognitionComputer Science
3
Article|88 citations·2018
High-speed and high-accuracy 3D surface measurement using a mechanical projector
Jae‐Sang Hyun, George T.‐C. Chiu, Song Zhang
SJR Q1Optics ExpressOA

This paper presents a method to achieve high-speed and high-accuracy 3D surface measurement using a custom-designed mechanical projector and two high-speed cameras. We developed a computational framework that can achieve absolute shape measurement in sub-pixel accuracy through: 1) capturing precisely phase-shifted fringe patterns by synchronizing the cameras with the projector; 2) generating a rough disparity map between two cameras by employing a standard stereo-vision method using texture imag

Computer Vision and Pattern RecognitionComputer Science
4
Article|70 citations·2016
Superfast 3D absolute shape measurement using five binary patterns
Jae‐Sang Hyun, Song Zhang
SJR Q1Optics and Lasers in EngineeringOA
Computer Vision and Pattern RecognitionComputer Science
5
Article|28 citations·2019
Autofocusing method for high-resolution three-dimensional profilometry
Xiaowei Hu, Guijin Wang, Jae‐Sang Hyun, Yu‐Jin Zhang, Huazhong Yang, Song Zhang
SJR Q1Optics Letters

State-of-the-art high-accuracy three-dimensional (3D) profilometry systems typically use a lens with a fixed focal length, making it difficult for them to measure scenes with large depth variations, especially dynamically changing ones. To address this need, this Letter proposes a novel, to the best of our knowledge, autofocusing method for high-resolution 3D profilometry with a digital fringe projection technique by (1) developing a novel continuous geometric parameter model for systems using e

Media TechnologyEngineering
6
Article|19 citations·2017
High-speed high-accuracy three-dimensional shape measurement using digital binary defocusing method versus sinusoidal method
Jae‐Sang Hyun, Beiwen Li, Song Zhang
SJR Q3Optical Engineering

This paper presents our research findings on high-speed high-accuracy three-dimensional shape measurement using digital light processing (DLP) technologies. In particular, we compare two different sinusoidal fringe generation techniques using the DLP projection devices: direct projection of computer-generated 8-bit sinusoidal patterns (a.k.a., the sinusoidal method), and the creation of sinusoidal patterns by defocusing binary patterns (a.k.a., the binary defocusing method). This paper mainly ex

Computer Vision and Pattern RecognitionComputer Science
7
Article|14 citations·2019
Uniaxial three-dimensional phase-shifting profilometry using a dual-telecentric structured light system in micro-scale devices
Min Zhong, Jin Cui, Jae‐Sang Hyun, Liang Pan, Peng Duan, Song Zhang
SJR Q2Measurement Science and TechnologyOA

Abstract This paper presents a novel method for uniaxial microscopic three-dimensional (3D) profilometry using a structured light system with dual-telecentric lenses in micro-scale devices. Specifically, a telecentric lens can produce an orthographic view of an object and provide the exact size of objects in the x and y directions. An electronically focus-tunable lens attached to the projector rapidly and precisely changes the focal plane of the projected structured patterns, a camera captures t

Computer Vision and Pattern RecognitionComputer Science
8
Article|13 citations·2020
High-speed three-dimensional absolute shape measurement with three projected binary patterns
Jae‐Sang Hyun, Song Zhang
SJR Q3Optical Engineering

Reducing the number of structured patterns for three-dimensional (3-D) reconstruction is of great importance for high-speed 3-D shape measurement. We present a method that reconstructs absolute 3-D shape using three projected binary patterns: one direct current (DC), one low-frequency, and one high-frequency fringe pattern. The procedures are (1) take the difference between the sinusoidal fringe patterns and the DC pattern; (2) apply Hilbert transform to the difference images to generate two pha

Computer Vision and Pattern RecognitionComputer Science
9
Article|12 citations·2020
Portable high‐resolution automated 3D imaging for footwear and tire impression capture
Yi‐Hong Liao, Jae‐Sang Hyun, Michael Feller, Tyler Bell, Ian Bortins, James W. Wolfe, David V. Baldwin, Song Zhang
SJR Q2Journal of Forensic SciencesOA

The forensic science community raised the need for improved evidence recognition, collection, and visualization analytical instrumentation for field and laboratory use. While the 3D optical techniques for imaging static objects have been extensively studied, there is still a major gap between current knowledge and collecting high-quality footwear and tire impression evidence. Among optical means for 3D imaging, digital fringe projection (DFP) techniques reconstruct 3D shape from phase informatio

Computer Vision and Pattern RecognitionComputer Science
10
Article|10 citations·2020
Multilevel symmetric pattern design and optimization for high-speed and high-accuracy 3D shape measurement
Yajun Wang, Jae‐Sang Hyun, Song Zhang, Bin Luo, Ziping Liu, Chufan Jiang, Bo Tao
SJR Q1Optics & Laser Technology
Computer Vision and Pattern RecognitionComputer Science
11
Article|9 citations·2024
Single-shot calibration method based on Fourier transform profilometry
Jin-Hyuk Seok, Yatong An, Jae‐Sang Hyun
SJR Q1Optics Letters

This Letter introduces a novel, to the best of our knowledge, calibration method for structured light systems that simplifies the calibration process and reduces time consumption. We combine vertical and horizontal fringe patterns into a single composite pattern and retrieve the bidirectional phase based on Fourier transform profilometry (FTP). The entire calibration process becomes faster and more simplified by capturing only a single-shot pattern. Experimental results demonstrate that the prop

Computer Vision and Pattern RecognitionComputer Science
12
Article|9 citations·2024
Novel approach for fast structured light framework using deep learning
Won-Hoe Kim, Bongjoong Kim, Hyung‐gun Chi, Jae‐Sang Hyun
SJR Q1Image and Vision Computing
Computer Vision and Pattern RecognitionComputer Science
13
Article|8 citations·2020
Influence of projector pixel shape on ultrahigh-resolution 3D shape measurement
Jae‐Sang Hyun, Song Zhang
SJR Q1Optics ExpressOA

The state-of-art three-dimensional (3D) shape measurement with digital fringe projection (DFP) techniques assume that the influence of projector pixel shape is negligible. However, our research reveals that when the camera pixel size is much smaller than the projector pixel size in object space (e.g., 1/5), the shape of projector pixel can play a critical role on ultimate measurement quality. This paper evaluates the performance of two shapes of projector pixels: rectangular and diamond shaped.

Computer Vision and Pattern RecognitionComputer Science
14
Article|8 citations·2024
Motion-Induced Error Reduction for Motorized Digital Fringe Projection System
Su Chang Jeon, Hyo Geon Lee, Jae Sung Lee, Bo Min Kang, Byeung Woo Jeon, Jun Young Yoon, Jae‐Sang Hyun
SJR Q1IEEE Transactions on Instrumentation and Measurement

In phase-shifting profilometry (PSP), errors can be introduced by any motion during the acquisition of fringe patterns, as it assumes both the object and the measurement system are stationary. To address this issue, we propose a pixel-wise motion-induced error reduction method when the measurement system is in motion due to a motorized system. Our proposed method introduces a novel motion-attentive phase-shifting algorithm and leverages the motor’s encoder and the pinhole model of the camera and

Control and Systems EngineeringEngineering
15
Article|4 citations·2017
High-speed 3D surface measurement with mechanical projector
Jae‐Sang Hyun, Song Zhang
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

This paper presents a method to overcome the light spectral range limitation of using digital-light-processing (DLP) projector for 3D shape measurement by developing a mechanical projector. The mechanical projector enables much broader spectral range of light than that the DLP projector allows. The rapidly spinning disk with binary structures can generate desired sinusoidal patterns at a frequency of 10 kHz or higher with a single DC motor. By precisely synchronizing the camera with the projecto

Computer Vision and Pattern RecognitionComputer Science

Research Areas

Computer Vision and Pattern RecognitionElectrical and Electronic EngineeringMedia TechnologyInstrumentationRadiology, Nuclear Medicine and ImagingControl and Systems Engineering

Hyunjaesang Hwangの研究をNubintでさらに深く

この研究室の論文をアプリで開き、AIと共に読み、要約し、引用しましょう。