International Journals

2024

  • [DOI] D. Seo and S. Park, “DSM Reconstruction from Uncalibrated Multi-View Satellite Stereo Images by RPC Estimation and Integration,” Remote Sensing, vol. 16, iss. 20, 2024.
    [Bibtex] 
    @Article{rs16203863,
AUTHOR = {Seo, Dong-Uk and Park, Soon-Yong},
TITLE = {DSM Reconstruction from Uncalibrated Multi-View Satellite Stereo Images by RPC Estimation and Integration},
JOURNAL = {Remote Sensing},
VOLUME = {16},
YEAR = {2024},
NUMBER = {20},
ARTICLE-NUMBER = {3863},
URL = {https://www.mdpi.com/2072-4292/16/20/3863},
ISSN = {2072-4292},
ABSTRACT = {In this paper, we propose a 3D Digital Surface Model (DSM) reconstruction method from uncalibrated Multi-view Satellite Stereo (MVSS) images, where Rational Polynomial Coefficient (RPC) sensor parameters are not available. While recent investigations have introduced several techniques to reconstruct high-precision and high-density DSMs from MVSS images, they inherently depend on the use of geo-corrected RPC sensor parameters. However, RPC parameters from satellite sensors are subject to being erroneous due to inaccurate sensor data. In addition, due to the increasing data availability from the internet, uncalibrated satellite images can be easily obtained without RPC parameters. This study proposes a novel method to reconstruct a 3D DSM from uncalibrated MVSS images by estimating and integrating RPC parameters. To do this, we first employ a structure from motion (SfM) and 3D homography-based geo-referencing method to reconstruct an initial DSM. Second, we sample 3D points from the initial DSM as references and reproject them to the 2D image space to determine 3D–2D correspondences. Using the correspondences, we directly calculate all RPC parameters. To overcome the memory shortage problem while running the large size of satellite images, we also propose an RPC integration method. Image space is partitioned to multiple tiles, and RPC estimation is performed independently in each tile. Then, all tiles’ RPCs are integrated into the final RPC to represent the geometry of the whole image space. Finally, the integrated RPC is used to run a true MVSS pipeline to obtain the 3D DSM. The experimental results show that the proposed method can achieve 1.455 m Mean Absolute Error (MAE) in the height map reconstruction from multi-view satellite benchmark datasets. We also show that the proposed method can be used to reconstruct a geo-referenced 3D DSM from uncalibrated and freely available Google Earth imagery.},
DOI = {10.3390/rs16203863}
}
  • [DOI] M. Manawadu and S. Park, “6DoF Object Pose and Focal Length Estimation from Single RGB Images in Uncontrolled Environments,” Sensors, vol. 24, iss. 17, 2024.
    [Bibtex] 
    @Article{s24175474,
AUTHOR = {Manawadu, Mayura and Park, Soon-Yong},
TITLE = {6DoF Object Pose and Focal Length Estimation from Single RGB Images in Uncontrolled Environments},
JOURNAL = {Sensors},
VOLUME = {24},
YEAR = {2024},
NUMBER = {17},
ARTICLE-NUMBER = {5474},
URL = {https://www.mdpi.com/1424-8220/24/17/5474},
PubMedID = {39275384},
ISSN = {1424-8220},
ABSTRACT = {Accurate 6DoF (degrees of freedom) pose and focal length estimation are important in extended reality (XR) applications, enabling precise object alignment and projection scaling, thereby enhancing user experiences. This study focuses on improving 6DoF pose estimation using single RGB images of unknown camera metadata. Estimating the 6DoF pose and focal length from an uncontrolled RGB image, obtained from the internet, is challenging because it often lacks crucial metadata. Existing methods such as FocalPose and Focalpose++ have made progress in this domain but still face challenges due to the projection scale ambiguity between the translation of an object along the z-axis (tz) and the camera’s focal length. To overcome this, we propose a two-stage strategy that decouples the projection scaling ambiguity in the estimation of z-axis translation and focal length. In the first stage, tz is set arbitrarily, and we predict all the other pose parameters and focal length relative to the fixed tz. In the second stage, we predict the true value of tz while scaling the focal length based on the tz update. The proposed two-stage method reduces projection scale ambiguity in RGB images and improves pose estimation accuracy. The iterative update rules constrained to the first stage and tailored loss functions including Huber loss in the second stage enhance the accuracy in both 6DoF pose and focal length estimation. Experimental results using benchmark datasets show significant improvements in terms of median rotation and translation errors, as well as better projection accuracy compared to the existing state-of-the-art methods. In an evaluation across the Pix3D datasets (chair, sofa, table, and bed), the proposed two-stage method improves projection accuracy by approximately 7.19%. Additionally, the incorporation of Huber loss resulted in a significant reduction in translation and focal length errors by 20.27% and 6.65%, respectively, in comparison to the Focalpose++ method.},
DOI = {10.3390/s24175474}
}
  • [DOI] S. Park and J. Lee, “TDO-SLAM: Traffic Sign and Dynamic Object based Visual SLAM,” IEEE Access, 2024.
    [Bibtex] 
    @article{park2024tdo,
title={TDO-SLAM: Traffic Sign and Dynamic Object based Visual SLAM},
author={Park, Soon-Yong and Lee, Junesuk},
journal={IEEE Access},
year={2024},
publisher={IEEE},
doi={10.1109/ACCESS.2024.3362675},
}

2023

  • [DOI] S. Park, C. Son, D. Seo, and S. Baek, “Fusion of monocular height maps for 3D urban scene reconstruction from uncalibrated satellite images,” Remote Sensing Letters, vol. 14, iss. 12, pp. 1260-1270, 2023.
    [Bibtex] 
    @article{park2023fusion,
title={Fusion of monocular height maps for 3D urban scene reconstruction from uncalibrated satellite images},
author={Park, Soon-Yong and Son, Chang-Min and Seo, DongUk and Baek, Seung-Hae},
journal={Remote Sensing Letters},
volume={14},
number={12},
pages={1260--1270},
year={2023},
publisher={Taylor \& Francis},
doi={10.1080/2150704X.2023.2283901},
}
  • [DOI] S. Park, U. Lee, and S. Baek, “Visual Odometry of a Low-Profile Pallet Robot Based on Ortho-Rectified Ground Plane Image from Fisheye Camera,” Applied Sciences, vol. 13, iss. 16, p. 9095, 2023.
    [Bibtex] 
    @article{park2023visual,
title={Visual Odometry of a Low-Profile Pallet Robot Based on Ortho-Rectified Ground Plane Image from Fisheye Camera},
author={Park, Soon-Yong and Lee, Ung-Gyo and Baek, Seung-Hae},
journal={Applied Sciences},
volume={13},
number={16},
pages={9095},
year={2023},
publisher={MDPI},
doi={10.3390/app13169095},
}
  • [DOI] S. Park, D. Seo, and M. Lee, “GEMVS: a novel approach for automatic 3D reconstruction from uncalibrated multi-view Google Earth images using multi-view stereo and projective to metric 3D homography transformation,” International Journal of Remote Sensing, vol. 44, iss. 9, pp. 3005-3030, 2023.
    [Bibtex] 
    @article{park2023gemvs,
title={GEMVS: a novel approach for automatic 3D reconstruction from uncalibrated multi-view Google Earth images using multi-view stereo and projective to metric 3D homography transformation},
author={Park, Soon-Yong and Seo, DongUk and Lee, Min-Jae},
journal={International Journal of Remote Sensing},
volume={44},
number={9},
pages={3005--3030},
year={2023},
publisher={Taylor \& Francis},
doi={10.1080/01431161.2023.2214275},
}
  • [DOI] S. Oh and S. Park, “Hue-saturation-depth Guided Image-based Lidar Upsampling Technique for Ultra-high-resolution and Omnidirectional 3D Scanning,” International Journal of Control, Automation and Systems, vol. 21, iss. 5, pp. 1610-1623, 2023.
    [Bibtex] 
    @article{oh2023hue,
title={Hue-saturation-depth Guided Image-based Lidar Upsampling Technique for Ultra-high-resolution and Omnidirectional 3D Scanning},
author={Oh, Sangha and Park, Soon-Yong},
journal={International Journal of Control, Automation and Systems},
volume={21},
number={5},
pages={1610--1623},
year={2023},
publisher={Springer},
doi={10.1007/s12555-022-0222-5},
}
  • [DOI] S. Park, C. Son, W. Jeong, and S. Park, “Relative Pose Estimation between Image Object and ShapeNet CAD Model for Automatic 4-DoF Annotation,” Applied Sciences, vol. 13, iss. 2, p. 693, 2023.
    [Bibtex] 
    @article{park2023relative,
title={ Relative Pose Estimation between Image Object and ShapeNet CAD Model for Automatic 4-DoF Annotation },
author={Park, Soon-Yong and Son, Chang-Min and Jeong, Won-Jae and Park, Sieun},
journal={Applied Sciences},
volume={13},
number={2},
pages={693},
year={2023},
publisher={Multidisciplinary Digital Publishing Institute},
doi={10.3390/app13020693}
}

2022

  • [DOI] M. -J. Lee and S. -Y. Park, “Forward and Backward Propagation of Stereo Matching Cost for Incremental Refinement of Multiview Disparity Maps,” IEEE Access, vol. 10, pp. 134074-134085, 2022.
    [Bibtex] 
    @article{Lee2022Stero,
title={ Forward and Backward Propagation of Stereo Matching Cost for Incremental Refinement of Multiview Disparity Maps},
author={M. -J. Lee and S. -Y. Park},
journal={IEEE Access},
publisher={IEEE},
year={2022},
volume={10},
pages={134074-134085},
doi={10.1109/ACCESS.2022.3230949},
}
  • J. Lee, J. Lee, and S. Park, “3D Pose Recognition System of Dump Truck for Autonomous Excavator,” applied sciences, vol. 12(7), 2022.
    [Bibtex] 
    @article{Lee2021SLAM,
title={ 3D Pose Recognition System of Dump Truck for Autonomous Excavator},
author={Lee, Ju-hwan and Lee, Junesuk and Park, Soon-Yong},
journal={applied sciences},
publisher={MDPI},
volume={12(7)},
year={2022},
}
  • M. Lee and S. Park, “Refinement of Inverse Depth Plane in Textureless and Occluded Regions in a Multiview Stereo Matching Scheme,” journal of sensor, vol. 22, 2022. (SCIE)
    [Bibtex] 
    @article{Lee2021Streo,
title={ Refinement of Inverse Depth Plane in Textureless and Occluded Regions in a Multiview Stereo Matching Scheme},
author={Lee,Min-jae and Park, Soon-Yong},
journal={journal of sensor},
publisher={Sensors},
volume={22},
year={2022},
type={SCIE},
}
  • S. Kim and S. Park, “Expandable Spherical Projection and Feature Concatenation Methods for Real-Time Road Object Detection Using Fisheye Image,” applied sciences, vol. 12, 2022.
    [Bibtex] 
    @article{Kim2021FisheyeProjAndFF,
title={Expandable Spherical Projection and Feature Concatenation Methods for Real-Time Road Object Detection Using Fisheye Image},
author={Kim, Songeun and Park, Soon-Yong},
journal={applied sciences},
publisher={MDPI},
volume={12},
year={2022},
}

2021

  • M. Lee, G. Um, J. Yun, W. Cheong, and S. Park, “Enhanced Soft 3D Reconstruction Method with an Iterative Matching Cost Update Using Object Surface Consensus,” Sensors, vol. 21, 2021. (SCIE)
    [Bibtex] 
    @article{Lee2021Streo,
title={ Enhanced Soft 3D Reconstruction Method with an Iterative Matching Cost Update Using Object Surface Consensus },
author={Lee,Min-jae and Um, Gi-Mun and Yun, Joungil and Cheong, Won-Sik and Park, Soon-Yong},
journal={Sensors},
publisher={Sensors},
volume={21},
year={2021},
type={SCIE},
}
  • J. Lee, G. Ahn, and S. Park, “Slag Removal Path Estimation by Slag Distribution Image and Multi-Task Deep Learning Network,” IEEE Access, vol. 9, 2021. (SCIE)
    [Bibtex] 
    @article{Lee2021Deep,
title={ Slag Removal Path Estimation by Slag Distribution Image and Multi-Task Deep Learning Network },
author={Lee, Junesuk and Ahn, Geon-Tae and Park, Soon-Yong},
journal={IEEE Access},
publisher={IEEE},
volume={9},
year={2021},
type={SCIE},
}
  • J. Lee and S. Park, “PLF-VINS: Real-Time Monocular Visual-Inertial SLAM With Point-Line Fusion and Parallel-Line Fusion,” IEEE Robotics and Automation Letters, vol. 6, 2021. (SCIE)
    [Bibtex] 
    @article{Lee2021SLAM,
title={ PLF-VINS: Real-Time Monocular Visual-Inertial SLAM With Point-Line Fusion and Parallel-Line Fusion},
author={Lee, Junesuk and Park, Soon-Yong},
journal={IEEE Robotics and Automation Letters},
publisher={IEEE},
volume={6},
year={2021},
type={SCIE},
}
  • J. Lee, M. Lee, and S. Park, “Complete 3D Foot Scanning System Using 360 Degree Rotational and Translational Laser Triangulation Sensors,” International Journal of Control, Automation and Systems, vol. 6, 2021. (SCIE)
    [Bibtex] 
    @article{Lee2021SLAM,
title={ Complete 3D Foot Scanning System Using 360 Degree Rotational and Translational Laser Triangulation Sensors},
author={Lee, Ju-hwan and Lee,Min-jae and Park, Soon-Yong},
journal={International Journal of Control, Automation and Systems},
publisher={ICROS},
volume={6},
year={2021},
type={SCIE},
}

2020

  • P. Rathnayaka and S. Park, “iGG-MBS: Iterative Guided-Gaussian Multi-Baseline Stereo Matching,” IEEE Access, vol. 19, 2020. (SCIE)
    [Bibtex] 
    @article{Pathum2020Stereo,
title={ iGG-MBS: Iterative Guided-Gaussian Multi-Baseline Stereo Matching},
author={Rathnayaka, Pathum and Park, Soon-Yong},
journal={IEEE Access},
publisher={IEEE},
volume={19},
year={2020},
type={SCIE},
}
  • J. Cho, S. Park, and S. Chien, “Hole-Filling of RealSense Depth Images Using a Color Edge Map,” IEEE Access, vol. 8, pp. 53901-53914, 2020. (SCIE)
    [Bibtex] 
    @article{Cho2020Depth,
title={ Hole-Filling of RealSense Depth Images Using a Color Edge Map},
author={Cho, Ji-Min and Park, Soon-Yong and Chien, Sung-Il},
journal={IEEE Access},
publisher={IEEE},
pages={53901 - 53914},
volume={8},
month={March},
year={2020},
type={SCIE},
}
  • J. Kim, G. Ahn, and S. Park, “Estimation of Slag Removal Path using CNN-based Path Probability of Ladle Image,” International Journal of Control, Automation and Systems, vol. 18, iss. 3, pp. 791-800, 2020. (SCIE)
    [Bibtex] 
    @article{Kim2020Deep,
title={ Estimation of Slag Removal Path using CNN-based Path Probability of Ladle Image},
author={Kim, Jeong-Soo and Ahn, Geon-Tae and Park, Soon-Yong},
journal={International Journal of Control, Automation and Systems},
publisher={IJCAS},
pages={791-800},
volume={18},
number = {3},
month={March},
year={2020},
type={SCIE},
}

2019

  • E. Kim and S. Park, “Extrinsic Calibration between Camera and LiDAR Sensors by Matching Multiple 3D Planes,” Sensors, vol. 20, pp. 52-68, 2019. (SCIE)
    [Bibtex] 
    @article{Kim2019Cali,
title={ Extrinsic Calibration between Camera and LiDAR Sensors by Matching Multiple 3D Planes },
author={Kim, Eung-Su and Park, Soon-Yong},
journal={Sensors},
publisher={Sensors},
volume={20},
pages={52-68},
year={2019},
month={December},
type={SCIE},
}
  • B. S. Rathnayaka Pathum and S. Park, “Stereo Vision-Based Gamma-Ray Imaging for 3D Scene Data Fusion,” IEEE Access, vol. 7, pp. 89604-89613, 2019. (SCIE)
    [Bibtex] 
    @article{Pathum2019Stereo,
title={Stereo Vision-Based Gamma-Ray Imaging for 3D Scene Data Fusion},
author={Rathnayaka, Pathum, Baek, Seung-Hae and Park, Soon-Yong},
journal={IEEE Access},
volume={7},
pages = {89604-89613},
year={2019},
type={SCIE},
}

2017

  • M. S. Kavitha, T. Kurita, S. Park, S. Chien, J. Bae, and B. Ahn, “Deep vector-based convolutional neural network approach for automatic recognition of colonies of induced pluripotent stem cells,” PLOS ONE, vol. 2017, 2017. (SCIE)
    [Bibtex] 
    @article{Kavitha2017Deep,
title={Deep vector-based convolutional neural network approach for automatic recognition of colonies of induced pluripotent stem cells},
author={Kavitha, Muthu Subash and Kurita, Takio and Park, Soon-Yong and Chien, Sung-Il and Bae, Jae-Sung and Ahn, Byeong-Cheol},
journal={PLOS ONE},
volume={2017},
year={2017},
type={SCIE},
}
  • [DOI] P. Rathnayaka, S. Baek, and S. Park, “An Efficient Calibration Method for a Stereo Camera System with Heterogeneous Lenses Using an Embedded Checkerboard Pattern,” Journal of Sensor, vol. 2017, 2017. (SCIE)
    [Bibtex] 
    @article{Pathum2017AnEfficient,
title={An Efficient Calibration Method for a Stereo Camera System with Heterogeneous Lenses Using an Embedded Checkerboard Pattern},
author={Rathnayaka, Pathum and Baek, Seung-Hae and Park, Soon-Yong},
journal={Journal of Sensor},
volume={2017},
year={2017},
doi={10.1155/2017/6742615},
type={SCIE},
url={http://doi.org/10.1155/2017/6742615}
}
  • [DOI] U. Wijenayake and S. Park, “Real-Time External Respiratory Motion Measuring Technique Using an RGB-D Camera and Principal Component Analysis,” Sensors, vol. 17, iss. 8, p. 1840, 2017. (SCIE)
    [Bibtex] 
    @Article{wijenayake2017real,
AUTHOR = {Wijenayake, Udaya and Park, Soon-Yong},
TITLE = {Real-Time External Respiratory Motion Measuring Technique Using an RGB-D Camera and Principal Component Analysis},
JOURNAL = {Sensors},
VOLUME = {17},
YEAR = {2017},
NUMBER = {8},
pages = {1840},
URL = {http://www.mdpi.com/1424-8220/17/8/1840},
ISSN = {1424-8220},
type={SCIE},
ABSTRACT = {Accurate tracking and modeling of internal and external respiratory motion in the thoracic and abdominal regions of a human body is a highly discussed topic in external beam radiotherapy treatment. Errors in target/normal tissue delineation and dose calculation and the increment of the healthy tissues being exposed to high radiation doses are some of the unsolicited problems caused due to inaccurate tracking of the respiratory motion. Many related works have been introduced for respiratory motion modeling, but a majority of them highly depend on radiography/fluoroscopy imaging, wearable markers or surgical node implanting techniques. We, in this article, propose a new respiratory motion tracking approach by exploiting the advantages of an RGB-D camera. First, we create a patient-specific respiratory motion model using principal component analysis (PCA) removing the spatial and temporal noise of the input depth data. Then, this model is utilized for real-time external respiratory motion measurement with high accuracy. Additionally, we introduce a marker-based depth frame registration technique to limit the measuring area into an anatomically consistent region that helps to handle the patient movements during the treatment. We achieved a 0.97 correlation comparing to a spirometer and 0.53 mm average error considering a laser line scanning result as the ground truth. As future work, we will use this accurate measurement of external respiratory motion to generate a correlated motion model that describes the movements of internal tumors.},
DOI = {10.3390/s17081840}
}

2016

  • [DOI] M. S. Kavitha, P. G. Kumar, S. Y. Park, K. H. Huh, M. S. Heo, K. Takio, A. Akira, S. Y. An, and S. I. Chien, “Automatic detection of osteoporosis based on hybrid genetic swarm fuzzy classifier approaches,” Dentomaxillofacial Radiology, vol. 45, 2016. (SCIE)
    [Bibtex] 
    @article{park2016detect,
title={Automatic detection of osteoporosis based on hybrid genetic swarm fuzzy classifier approaches},
author={Kavitha, Muthu Subash and Kumar, Pugalendhi Ganesh and Park, Soon Yong and Huh, Kyung Heo and Heo, Min Suk and Takio, Kurita and Akira, Asano and An, Seo Yong and Chien, Sung Il},
journal={Dentomaxillofacial Radiology},
volume={45},
year={2016},
doi={10.1259/dmfr.20160076},
type={SCIE},
url={http://dx.doi.org/10.1259/dmfr.20160076}
}
  • [DOI] S. Baek, P. Rathnayaka, and S. Park, “Calibration of a Stereo Radiation Detection Camera Using Planar Homography,” Journal of Sensors, vol. 2016, p. 348302, 2016. (SCIE)
    [Bibtex] 
    @article{baek2016calibration,
title={Calibration of a Stereo Radiation Detection Camera Using Planar Homography},
author={Baek, Seung-Hae and Rathnayaka, Pathum and Park, Soon-Yong},
journal={Journal of Sensors},
volume={2016},
pages={348302},
year={2016},
publisher={Hindawi Publishing Corporation},
type={SCIE},
doi={10.1155/2016/8928096},
url={http://dx.doi.org/10.1155/2016/8928096}
}

2015

  • [DOI] U. Wijenayake and S. Park, “Dual pseudorandom array technique for error correction and hole filling of color structured-light three-dimensional scanning,” Optical Engineering, vol. 54, iss. 4, p. 43109, 2015. (SCI)
    [Bibtex] 
    @article{wijenayake2015dual,
author = {Wijenayake, Udaya and Park, Soon-Yong},
title = {Dual pseudorandom array technique for error correction and hole filling of color structured-light three-dimensional scanning},
journal = {Optical Engineering},
volume = {54},
number = {4},
pages = {043109},
abstract = {Abstract.
The accurate and dense real-time acquisition of three-dimensional (3-D) data using a low-cost structured light system remains an ongoing topic in the computer vision community, as it is difficult to achieve all these features simultaneously. Among several techniques, the pseudorandom array technique is widely used in real-time 3-D scene capturing, as it tends to concentrate the entire coding scheme into a single pattern. However, existing pseudorandom array decoding methods cannot decode a given symbol in real time when missing neighbors exist. As a solution, we propose a dual pseudorandom array encoding and decoding method and a hole-filling method, which can improve the reconstruction accuracy and time. We experimentally compared our method with several others to verify that our method captures 3-D scenes quickly and densely.},
year = {2015},
isbn = {0091-3286},
doi = {10.1117/1.OE.54.4.043109},
URL = { http://dx.doi.org/10.1117/1.OE.54.4.043109},
type={SCI},
eprint = {}
}
  • [DOI] S. Choi and S. Park, “A new 2-point absolute pose estimation algorithm under planar motion,” Advanced Robotics, vol. 29, iss. 15, pp. 1005-1013, 2015. (SCIE)
    [Bibtex] 
    @article{choi2015new,
author = {Sung-In Choi and Soon-Yong Park},
title = {A new 2-point absolute pose estimation algorithm under planar motion},
journal = {Advanced Robotics},
volume = {29},
number = {15},
pages = {1005-1013},
year = {2015},
doi = {10.1080/01691864.2015.1024285},
URL = {http://dx.doi.org/10.1080/01691864.2015.1024285},
eprint = {http://dx.doi.org/10.1080/01691864.2015.1024285},
type = {SCIE}
}
  • [DOI] P. Rathnayaka, S. Baek, and S. Park, “Introducing a New Radiation Detection Device Calibration Method and Estimating 3D Distance to Radiation Sources,” in Information Science and Applications, K. J. Kim, Ed., Springer Berlin Heidelberg, 2015, vol. 339, pp. 335-342.
    [Bibtex] 
    @incollection{rathnayaka2015radiation,
year={2015},
isbn={978-3-662-46577-6},
booktitle={Information Science and Applications},
volume={339},
series={Lecture Notes in Electrical Engineering},
editor={Kim, Kuinam J.},
doi={10.1007/978-3-662-46578-3_39},
title={Introducing a New Radiation Detection Device Calibration Method and Estimating 3D Distance to Radiation Sources},
url={http://dx.doi.org/10.1007/978-3-662-46578-3_39},
publisher={Springer Berlin Heidelberg},
keywords={Radiation detection devices; radioactive sources; Homography translation relationship; 3D distance; device calibration},
author={Rathnayaka, Pathum and Baek, Seung-Hae and Park, Soon-Yong},
pages={335-342},
language={English}
}

2013

  • L. Zhang, S. Choi, and S. Park, “Polar-Cartesian Hybrid Transforms: A novel 2D range scan registration algorithm,” International Journal of Control, Automation and Systems, vol. 11, iss. 5, pp. 1001-1008, 2013. (SCIE)
    [Bibtex] 
    @article{zhang2013polar,
title={Polar-Cartesian Hybrid Transforms: A novel 2D range scan registration algorithm},
author={Zhang, Lei and Choi, Sung-In and Park, Soon-Yong},
journal={International Journal of Control, Automation and Systems},
volume={11},
number={5},
pages={1001--1008},
year={2013},
publisher={Springer},
type={SCIE}
}
  • K. H. Won, S. Park, and S. K. Jung, “Adaptive local color correction for stereoscopic three-dimensional displays,” Journal of Electronic Imaging, vol. 22, iss. 3, pp. 33026-33026, 2013. (SCIE)
    [Bibtex] 
    @article{won2013adaptive,
title={Adaptive local color correction for stereoscopic three-dimensional displays},
author={Won, Kwang Hee and Park, Soon-Yong and Jung, Soon Ki},
journal={Journal of Electronic Imaging},
volume={22},
number={3},
pages={033026--033026},
year={2013},
publisher={International Society for Optics and Photonics},
type={SCIE}
}

2011

  • Y. Hwang, N. Lee, S. Baek, S. Park, and J. Park, “3-D Visualization of X-ray Objects Using Stereo Line Sensor,” Journal of the Korean Physical Society, vol. 59, iss. 2, pp. 1422-1425, 2011. (SCI)
    [Bibtex] 
    @article{YounggwanHwang20113DVisualization,
title={3-D Visualization of X-ray Objects Using Stereo Line Sensor},
author={Hwang, Younggwan and Lee, Namho and Baek, Seung-Hae and Park, Soon-Yong and Park, Jong-Won},
journal={Journal of the Korean Physical Society},
volume={59},
number={2},
pages={1422--1425},
year={2011},
type={SCI}
}
  • S. Park, S. Choi, J. Moon, J. Kim, and Y. W. Park, “Localization of an unmanned ground vehicle based on hybrid 3D registration of 360 degree range data and DSM,” International Journal of Control, Automation and Systems, vol. 9, iss. 5, pp. 875-887, 2011. (SCIE)
    [Bibtex] 
    @article{park2011localization,
title={Localization of an unmanned ground vehicle based on hybrid 3D registration of 360 degree range data and DSM},
author={Park, Soon-Yong and Choi, Sung-In and Moon, Jaekyoung and Kim, Jun and Park, Yong Woon},
journal={International Journal of Control, Automation and Systems},
volume={9},
number={5},
pages={875--887},
year={2011},
publisher={Springer},
type={SCIE}
}
  • S. Park, S. Choi, J. Kim, and J. S. Chae, “Real-time 3D registration using GPU,” Machine Vision and Applications, vol. 22, iss. 5, pp. 837-850, 2011. (SCIE)
    [Bibtex] 
    @article{park2011real,
title={Real-time 3D registration using GPU},
author={Park, Soon-Yong and Choi, Sung-In and Kim, Jun and Chae, Jeong Sook},
journal={Machine Vision and Applications},
volume={22},
number={5},
pages={837--850},
year={2011},
publisher={Springer},
type={SCIE}
}
  • S. Park, J. Baek, and J. Moon, “Hand-held 3D scanning based on coarse and fine registration of multiple range images,” Machine Vision and Applications, vol. 22, iss. 3, pp. 563-579, 2011. (SCIE)
    [Bibtex] 
    @article{park2011hand,
title={Hand-held 3D scanning based on coarse and fine registration of multiple range images},
author={Park, Soon-Yong and Baek, Jaewon and Moon, Jaekyoung},
journal={Machine Vision and Applications},
volume={22},
number={3},
pages={563--579},
year={2011},
publisher={Springer},
type={SCIE}
}

2009

  • S. Park, J. Moon, and N. Lee, “Automatic vergence and focus control of a microstereoscopic camera,” Journal of Electronic Imaging, vol. 18, iss. 2, pp. 23006-23006, 2009. (SCIE)
    [Bibtex] 
    @article{park2009automatic,
title={Automatic vergence and focus control of a microstereoscopic camera},
author={Park, Soon-Yong and Moon, Jaekyoung and Lee, Namho},
journal={Journal of Electronic Imaging},
volume={18},
number={2},
pages={023006--023006},
year={2009},
publisher={International Society for Optics and Photonics},
type={SCIE}
}

2008

  • [DOI] K. Jeong, D. Kim, S. Park, and S. Lee, “Digital shallow depth-of-field adapter for photographs,” The Visual Computer, vol. 24, iss. 4, pp. 281-294, 2008. (SCIE)
    [Bibtex] 
    @article{jeong2008depth,
year={2008},
issn={0178-2789},
journal={The Visual Computer},
volume={24},
number={4},
doi={10.1007/s00371-007-0199-3},
title={Digital shallow depth-of-field adapter for photographs},
url={http://dx.doi.org/10.1007/s00371-007-0199-3},
publisher={Springer-Verlag},
keywords={Depth-of-field control; Depth estimation; Depth from defocus; Digital refocusing; Image detail control},
author={Jeong, Kyuman and Kim, Dongyeon and Park, Soon-Yong and Lee, Seungyong},
pages={281-294},
language={English},
type={SCIE}
}

2007

  • S. Park, “Effects of nonlinear camera response function in spatial domain depth-from-defocus,” Journal of Electronic Imaging, vol. 16, iss. 3, pp. 33021-33021, 2007. (SCIE)
    [Bibtex] 
    @article{park2007effects,
title={Effects of nonlinear camera response function in spatial domain depth-from-defocus},
author={Park, Soon-Yong},
journal={Journal of Electronic Imaging},
volume={16},
number={3},
pages={033021--033021},
year={2007},
publisher={International Society for Optics and Photonics},
type={SCIE}
}
  • J. Moon and S. Park, “Calibration of defocus blur for zoom lenses,” Optical Engineering, vol. 46, iss. 12, pp. 127005-127005, 2007. (SCI)
    [Bibtex] 
    @article{moon2007calibration,
title={Calibration of defocus blur for zoom lenses},
author={Moon, Jaekyoung and Park, Soon-Yong},
journal={Optical Engineering},
volume={46},
number={12},
pages={127005--127005},
year={2007},
publisher={International Society for Optics and Photonics},
type={SCI}
}

2006

  • S. Park, J. Moon, C. Park, and I. LEE, “Moving object removal based on global feature registration,” Lecture notes in computer science, pp. 275-286, 2006. (SCIE)
    [Bibtex] 
    @article{park2006moving,
title={Moving object removal based on global feature registration},
author={Park, Soon-Yong and Moon, Jaekyoung and Park, Chang-Joon and LEE, Inho},
journal={Lecture notes in computer science},
pages={275--286},
year={2006},
publisher={Springer},
type={SCIE}
}
  • S. Park, “An image-based calibration technique of spatial domain depth-from-defocus,” Pattern recognition letters, vol. 27, iss. 12, pp. 1318-1324, 2006. (SCIE)
    [Bibtex] 
    @article{park2006image,
title={An image-based calibration technique of spatial domain depth-from-defocus},
author={Park, Soon-Yong},
journal={Pattern recognition letters},
volume={27},
number={12},
pages={1318--1324},
year={2006},
publisher={Elsevier},
type={SCIE}
}
  • S. Park and J. Moon, “Image-Based Calibration of Spatial Domain Depth-from-Defocus and Application to Automatic Focus Tracking,” Lecture notes in computer science, pp. 754-763, 2006. (SCIE)
    [Bibtex] 
    @article{park2006image,
title={Image-Based Calibration of Spatial Domain Depth-from-Defocus and Application to Automatic Focus Tracking},
author={Park, Soon-Yong and Moon, Jaekyoung},
journal={Lecture notes in computer science},
pages={754--763},
year={2006},
publisher={Springer},
type={SCIE}
}

2005

  • S. Park and M. Subbarao, “A multiview 3D modeling system based on stereo vision techniques,” Machine Vision and Applications, vol. 16, iss. 3, pp. 148-156, 2005. (SCIE)
    [Bibtex] 
    @article{park2005multiview,
title={A multiview 3D modeling system based on stereo vision techniques},
author={Park, Soon-Yong and Subbarao, Murali},
journal={Machine Vision and Applications},
volume={16},
number={3},
pages={148--156},
year={2005},
publisher={Springer},
type={SCIE}
}

2004

  • S. Park, N. Lee, and S. Kim, “Stereoscopic imaging camera with simultaneous vergence and focus control,” Optical Engineering, vol. 43, iss. 12, pp. 3130-3137, 2004. (SCI)
    [Bibtex] 
    @article{park2004stereoscopic,
title={Stereoscopic imaging camera with simultaneous vergence and focus control},
author={Park, Soon-Yong and Lee, Namho and Kim, Seungho},
journal={Optical Engineering},
volume={43},
number={12},
pages={3130--3137},
year={2004},
publisher={International Society for Optics and Photonics},
type={SCI}
}
  • S. Park and M. Subbarao, “Automatic 3D model reconstruction based on novel pose estimation and integration techniques,” Image and Vision Computing, vol. 22, iss. 8, pp. 623-635, 2004. (SCI)
    [Bibtex] 
    @article{park2004automatic,
title={Automatic 3D model reconstruction based on novel pose estimation and integration techniques},
author={Park, Soon-Yong and Subbarao, Murali},
journal={Image and Vision Computing},
volume={22},
number={8},
pages={623--635},
year={2004},
publisher={Elsevier},
type={SCI}
}

2003

  • S. Park and M. Subbarao, “An accurate and fast point-to-plane registration technique,” Pattern Recognition Letters, vol. 24, iss. 16, pp. 2967-2976, 2003. (SCIE)
    [Bibtex] 
    @article{park2003accurate,
title={An accurate and fast point-to-plane registration technique},
author={Park, Soon-Yong and Subbarao, Murali},
journal={Pattern Recognition Letters},
volume={24},
number={16},
pages={2967--2976},
year={2003},
publisher={Elsevier},
type={SCIE}
}

1998

  • S. Park, Y. Lee, and S. Chien, “Linear relation for vergence control of parallel stereo camera,” Electronics Letters, vol. 34, iss. 3, pp. 255-255, 1998. (SCIE)
    [Bibtex] 
    @article{park1998linear,
title={Linear relation for vergence control of parallel stereo camera},
author={Park, Soon-Yong and Lee, Yong-Bum and Chien, Sung-Il},
journal={Electronics Letters},
volume={34},
number={3},
pages={255--255},
year={1998},
publisher={IET},
type={SCIE}
}