우 다 야

member_udayaimg 우 다 야
박사 과정
경북대학교 IT대학 컴퓨터학부 공대9호관 403호
대구 북구 대학로 80 경북대학교
Tel: +82-53-940-8598
Fax: +82-53-957-4846
Email: udaya@vision.knu.ac.kr
member_education
  • 2006.06 ~ 2010.07 : 공학사, 스리랑카 콜롬보대학 컴퓨터학과
  • 2011.03 ~ 2013.02 : 공학석사, 경북대학교 IT대학 컴퓨터학부
  • 2013.03 ~ 현재 : 공학박사, 경북대학교 IT대학 컴퓨터학부
member_research
  • 3D reconstruction and applications using Structured Light
  • Real-time motion estimation
  • Visual coded marker detection & recognition
  • 3D registration & its applications
  • Digital image processing
  • Respiratory motion estimation using coded markers and commercial depth sensors
  • Photogrammetric coded marker detection & recognition
  • Dual pseudorandom arrays for an error correcting 3D scanning
해외 저널

  • [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}
    }
  • [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 = {}
    }

해외 컨퍼런스

  • U. Wijenayake and S. Park, “PCA Based Analysis of External Respiratory Motion Using an RGB-D Camera,” in 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Benevento, Italy, 2016.
    [Bibtex]
    @INPROCEEDINGS{wijenayake2016pca,
    AUTHOR="Udaya Wijenayake and Soon-Yong Park",
    TITLE="{PCA} Based Analysis of External Respiratory Motion Using an {RGB-D} Camera",
    BOOKTITLE="2016 IEEE International Symposium on Medical Measurements and Applications
    (MeMeA)",
    ADDRESS="Benevento, Italy",
    DAYS=14,
    MONTH=may,
    YEAR=2016,
    KEYWORDS="Respiratory motion, PCA, RGB-D camera",
    ABSTRACT="Human respiration induces considerable external and internal motion in the
    thoracic and abdominal regions. Tracking and modeling of this motion is an
    important task for accurate treatment planning and dose calculation during
    external beam radiotherapy. Inaccurate motion tracking can cause severe
    issues such as errors in target/normal tissue delineation and increment in
    the volume of healthy tissues exposed to high doses. Different methods have
    been introduced to model the respiratory motion, but most of them use
    wearable markers or surgical node implanting techniques, which are
    inconvenient to patients. In this paper, we experiment the feasibility of
    using an RGB-D camera along with Principal Component Analysis (PCA) to
    track and model the subject-specific external respiratory motion.
    Marker-based depth frame registration technique is also introduced to limit
    the measuring area into an anatomically consistent region during the
    treatment. We evaluate the accuracy of the proposed method using a
    Spirometer and a laser line scanner."
    }
  • U. Wijenayake, E. Kim, and S. Park, “Patient Specific External Respiratory Motion Modeling Using Depth Sensors,” in International conference on Green and Human Information Technology (ICGHIT 2015), 2015, pp. 284-285.
    [Bibtex]
    @inproceedings{wijenayake2015patient,
    title={Patient Specific External Respiratory Motion Modeling Using Depth Sensors},
    author={Wijenayake, Udaya and Kim, Eung-Su and Park, Soon-Yong},
    booktitle={International conference on Green and Human Information Technology (ICGHIT 2015)},
    pages={284--285},
    year={2015},
    }
  • [PDF] U. Wijenayake and S. Park, “Respiratory motion estimation using visual coded markers for radiotherapy,” in Proceedings of the 29th Annual ACM Symposium on Applied Computing, 2014, pp. 1751-1752.
    [Bibtex]
    @inproceedings{wijenayake2014respiratory,
    title={Respiratory motion estimation using visual coded markers for radiotherapy},
    author={Wijenayake, Udaya and Park, Soon-Yong},
    booktitle={Proceedings of the 29th Annual ACM Symposium on Applied Computing},
    pages={1751--1752},
    year={2014},
    organization={ACM}
    }
  • [DOI] S. Choi, U. Wijenayake, and S. Park, “Efficient extrinsic calibration of a laser range finder and camera using multiple edge registration,” in Electronics, Information and Communications (ICEIC), 2014 International Conference on, 2014, pp. 1-2.
    [Bibtex]
    @INPROCEEDINGS{choi2014efficient,
    author={Choi, Sung-In and Wijenayake, Udaya and Park, Soon-Yong},
    booktitle={Electronics, Information and Communications (ICEIC), 2014 International Conference on},
    title={Efficient extrinsic calibration of a laser range finder and camera using multiple edge registration},
    year={2014},
    month={Jan},
    pages={1-2},
    keywords={Calibration;Cameras;Equations;Image edge detection;Lasers;Mathematical model;Three-dimensional displays;LRF;camera;extrinsic calibration},
    doi={10.1109/ELINFOCOM.2014.6914455},}
  • [PDF] [DOI] U. Wijenayake, S. Choi, and S. Park, “Automatic detection and decoding of photogrammetric coded targets,” in Electronics, Information and Communications (ICEIC), 2014 International Conference on, 2014, pp. 1-2.
    [Bibtex]
    @INPROCEEDINGS{udaya2014automatic,
    author={Wijenayake, Udaya and Choi, Sung-In and Park, Soon-Yong},
    booktitle={Electronics, Information and Communications (ICEIC), 2014 International Conference on},
    title={Automatic detection and decoding of photogrammetric coded targets},
    year={2014},
    month={Jan},
    pages={1-2},
    keywords={Cameras;Computed tomography;Decoding;Educational institutions;Industries;Object detection;Three-dimensional displays;Coded targets;Decoding;Photogrammetry},
    doi={10.1109/ELINFOCOM.2014.6914413},}
  • S. Choi, U. Wijenayake, and S. Park, “Head pose tracking using GPU based real-time 3D registration,” in RO-MAN, 2013 IEEE, 2013, pp. 114-119.
    [Bibtex]
    @inproceedings{choi2013head,
    title={Head pose tracking using GPU based real-time 3D registration},
    author={Choi, Sung-In and Wijenayake, Udaya and Park, Soon-Yong},
    booktitle={RO-MAN, 2013 IEEE},
    pages={114--119},
    year={2013},
    organization={IEEE}
    }
  • U. Wijenayake, S. Baek, and S. Park, “An Error Correcting 3D Scanning Technique Using Dual Pseudorandom Arrays,” in 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2012 Second International Conference on, 2012, pp. 517-523.
    [Bibtex]
    @inproceedings{wijenayake2012error,
    title={An Error Correcting 3D Scanning Technique Using Dual Pseudorandom Arrays},
    author={Wijenayake, Udaya and Baek, Seung-Hae and Park, Soon-Yong},
    booktitle={3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2012 Second International Conference on},
    pages={517--523},
    year={2012},
    organization={IEEE}
    }
  • U. Wijenayake, S. Choi, and S. Park, “Combination of color and binary pattern codification for an error correcting m-array technique,” in Computer and Robot Vision (CRV), 2012 Ninth Conference on, 2012, pp. 139-146.
    [Bibtex]
    @inproceedings{wijenayake2012combination,
    title={Combination of color and binary pattern codification for an error correcting m-array technique},
    author={Wijenayake, Udaya and Choi, Sung-In and Park, Soon-Yong},
    booktitle={Computer and Robot Vision (CRV), 2012 Ninth Conference on},
    pages={139--146},
    year={2012},
    organization={IEEE}
    }

국내 저널

  • [DOI] E. Kim, K. Kim, U. Wijenayake, and S. Park, “3차원 비전 기술을 이용한 라벨부착 소형 물체의 정밀 자세 측정,” Journal of Institute of Control, Robotics and Systems, vol. 22, iss. 10, pp. 839-846, 2016.
    [Bibtex]
    @domestic_journal{kim2016vision,
    author={Eung-Su Kim and Kye-Kyung Kim and Udaya Wijenayake and Soon-Yong Park},
    title={3차원 비전 기술을 이용한 라벨부착 소형 물체의 정밀 자세 측정},
    booltitle={Vol.22 No.10},
    journal={Journal of Institute of Control, Robotics and Systems},
    volume={22},
    number={10},
    publisher={Institute of Control, Robotics and Systems},
    year={2016},
    pages={839-846},
    doi={http://www.dbpia.co.kr/Article/NODE07017270}
    }
  • [PDF] [DOI] U. Wijenayake, S. Choi, and S. Park, “Stereo Vision-Based 3D Pose Estimation of Product Labels for Bin Picking,” Journal of Institute of Control, Robotics and Systems, vol. 22, iss. 1, pp. 8-16, 2016.
    [Bibtex]
    @domestic_journal{udaya2016bin,
    author={Wijenayake, Udaya and Choi, Sung-In and Park, Soon-Yong},
    title={Stereo Vision-Based 3D Pose Estimation of Product Labels for Bin Picking},
    booltitle={Vol.22 No.1},
    journal={Journal of Institute of Control, Robotics and Systems},
    volume={22},
    number={1},
    publisher={Institute of Control, Robotics and Systems},
    year={2016},
    pages={8-16},
    doi={http://www.dbpia.co.kr/Article/NODE06575261}
    }
  • [PDF] U. Wijenayake and S. Park, “Patient Respiratory Motion Tracking Using Visual Coded Markers,” 전자공학회논문지, vol. 51, iss. 12, pp. 111-122, 2014.
    [Bibtex]
    @domestic_journal{wijenayake2014patient,
    title={Patient Respiratory Motion Tracking Using Visual Coded Markers},
    author={Wijenayake, Udaya and Park, Soon-Yong},
    journal={전자공학회논문지},
    volume={51},
    number={12},
    pages={111--122},
    year={2014},
    }

국내 컨퍼런스

  • U. Wijenayake, P. Rathnayaka, and S. Park, “Accurate 3D Pose Estimation of Visual Coded Markers,” IEIE, 2017.
    [Bibtex]
    @domestic_conference{wijenayake2017accurateMarker,
    title={Accurate 3D Pose Estimation of Visual Coded Markers},
    author={Wijenayake, Udaya and Rathnayaka, Pathum and Park, Soon-Yong},
    journal={IEIE},
    year={2017},
    }
  • U. Wijenayake, E. Kim, and S. Park, “Stereo Vision Based 3D Pose Estimation of Product Labels,” ICROS, 2016.
    [Bibtex]
    @domestic_conference{wijenayake2016stereo,
    title={Stereo Vision Based 3D Pose Estimation of Product Labels},
    author={Wijenayake, Udaya and Kim, Eung-Su and Park, Soon-Yong},
    journal={ICROS},
    year={2016},
    }
  • [PDF] U. Wijenayake, S. Choi, and S. Park, “Accurate Label Detection Technique for 3D Vision Based Robotic Bin Picking,” KRoC, 2015.
    [Bibtex]
    @domestic_conference{wijenayake2015accurate,
    title={Accurate Label Detection Technique for 3D Vision Based Robotic Bin Picking},
    author={Wijenayake, Udaya and Choi, Sung-In and Park, Soon-Yong},
    journal={KRoC},
    year={2015},
    }
  • [PDF] U. Wijenayake and S. Park, “Patient Specific External Respiratory Motion Modeling Using Depth Sensors,” IPIU, 2015.
    [Bibtex]
    @domestic_conference{wijenayake2015patientipiu,
    title={Patient Specific External Respiratory Motion Modeling Using Depth Sensors},
    author={Wijenayake, Udaya and Park, Soon-Yong},
    journal={IPIU},
    year={2015},
    }
  • S. Choi, S. Baek, U. Wijenayake, and S. Park, “마커 및 특징점 융합 기반 근거리 정밀 사진계측 시스템,” IPIU, 2014.
    [Bibtex]
    @domestic_conference{choi2014marker,
    title={마커 및 특징점 융합 기반 근거리 정밀 사진계측 시스템},
    author={Choi, Sung-In and Baek, Seung-Hae and Wijenayake, Udaya and Park, Soon-Yong},
    journal={IPIU},
    year={2014},
    }
  • U. Wijenayake and S. Park, “Robust Visual Coded Marker Tracking Technique for Respiratory Motion Estimation,” IPIU, 2014.
    [Bibtex]
    @domestic_conference{wijenayake2014robust,
    title={Robust Visual Coded Marker Tracking Technique for Respiratory Motion Estimation},
    author={Wijenayake, Udaya and Park, Soon-Yong},
    journal={IPIU},
    year={2014},
    }
  • S. Choi, U. Wijenayake, and S. Park, “GPU 기반 실시간 3차원 정합을 이용한 얼굴자세추적,” KRoC, 2013.
    [Bibtex]
    @domestic_conference{choi2013gpu,
    title={GPU 기반 실시간 3차원 정합을 이용한 얼굴자세추적},
    author={Choi, Sung-In and Wijenayake, Udaya and Park, Soon-Yong},
    journal={KRoC},
    year={2013},
    }
  • [PDF] U. Wijenayake, S. Baek, and S. Park, “A Fast and Dense 3D Scanning Technique Using Dual Pseudorandom Arrays and A Hole-filling Method,” IPIU, 2013.
    [Bibtex]
    @domestic_conference{wijenayake2013fast,
    title={A Fast and Dense 3D Scanning Technique Using Dual Pseudorandom Arrays and A Hole-filling Method},
    author={Wijenayake, Udaya and Baek, Seung-Hae and Park, Soon-Yong},
    journal={IPIU},
    year={2013},
    }
  • [PDF] S. Baek, U. Wijenayake, and S. Park, “이진 M-array 패턴영상의 고밀도 디코딩,” KRoC, 2012.
    [Bibtex]
    @domestic_conference{baek2012binary,
    title={이진 M-array 패턴영상의 고밀도 디코딩},
    author={Baek, Seung-Hae and Wijenayake, Udaya and Park, Soon-Yong},
    journal={KRoC},
    year={2012},
    }
  • [PDF] U. Wijenayake and S. Park, “An M-array Technique for Generating Random Binary Pattern Based on a Connectivity Constraint,” IPIU, 2012.
    [Bibtex]
    @domestic_conference{wijenayake2012marray,
    title={An M-array Technique for Generating Random Binary Pattern Based on a Connectivity Constraint},
    author={Wijenayake, Udaya and Park, Soon-Yong},
    journal={IPIU},
    year={2012},
    }