AN APPLICATION OF KINECT-BASED 3D SCANNING IN BIOMEDICAL ENGINEERING

被引:0
|
作者
Ciobanu, Octavian [1 ]
Ciobanu, Gabriela [2 ]
机构
[1] Grigore T Popa Univ Med & Pharm, Fac Med Bioengn, Iasi, Romania
[2] Gheorghe Asachi Tech Univ Iasi, Fac Chem Engn & Environm Protect, Iasi, Romania
关键词
3D scanning; Kinect; orthotic mask; bioengineering; application; BURNS;
D O I
10.21175/RadProc.2016.43
中图分类号
O59 [应用物理学];
学科分类号
摘要
This paper approaches the study on the use of a low-cost Kinect sensor for 3D scans and 3D reconstructions of human surfaces. The Kinect depth sensor used in this work is based on a webcam-style device and dedicated software. It uses a structured light technique in order to scan and reconstruct 3D surfaces. The target surface was the human head and the aim was to manufacture an orthotic mask for patients with traumatic burn injuries of the face. Method: The study was made in order to observe the applicability of the Kinect-based 3D scans in the case of anatomic surfaces with concavities. Anatomic surfaces of a human head were scanned and 3D-reconstructed using the Kinect sensor and the Skanect software. Following some 3D image processing, a customized acrylic face mask was fabricated from the 3D-reconstructed mesh of the head. Orthotic masks may be applied in the case of facial burns in order to provide a small pressure over the burns. Results: The study shows the applicability of the Kinect-based 3D scans in the case of anatomic surfaces with rounded concavities and especially in the case of patients with burn injuries of the face. This study is among the first approaches to the application of the scanning of burn injuries with a Kinect device.
引用
收藏
页码:183 / 186
页数:4
相关论文
共 50 条
  • [1] A DATASET OF KINECT-BASED 3D SCANS
    Doumanoglou, Alexandros
    Asteriadis, Stylianos
    Alexiadis, Dimitrios S.
    Zarpalas, Dimitrios
    Daras, Petros
    [J]. 2013 IEEE 11TH IVMSP WORKSHOP: 3D IMAGE/VIDEO TECHNOLOGIES AND APPLICATIONS (IVMSP 2013), 2013,
  • [2] 3D Puppetry: A Kinect-based Interface for 3D Animation
    Held, Robert T.
    Gupta, Ankit
    Curless, Brian
    Agrawala, Maneesh
    [J]. UIST'12: PROCEEDINGS OF THE 25TH ANNUAL ACM SYMPOSIUM ON USER INTERFACE SOFTWARE AND TECHNOLOGY, 2012, : 423 - 433
  • [3] Kinect-based 3D Video Conference System
    Zhang, Dongdong
    Yao, Ye
    Liu, Dian
    Chen, Yanyu
    Zang, Di
    [J]. 2013 IEEE GLOBAL HIGH TECH CONGRESS ON ELECTRONICS (GHTCE), 2013,
  • [4] Kinect-based 3D Indoor Environment Map Building
    Zhang, Yi
    Chen, Qi
    Zhong, Xiao-Lin
    Liao, Qiao-Zhen
    [J]. INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA 2016), 2016, : 613 - 618
  • [5] Application of Motion Correction using 3D Autoregressive Model in Kinect-based Telemedicine
    Kim, Baek Seob
    Kim, Yun Bae
    Kim, So-Jeong
    Shin, Dong-Hee
    [J]. INTERNATIONAL CONFERENCE ON COMMUNICATION AND MEDIA: AN INTERNATIONAL COMMUNICATION ASSOCIATION REGIONAL CONFERENCE (I-COME'16), 2017, 33
  • [6] A Kinect-Based System for 3D Reconstruction of Sewer Manholes
    Belles, Cristobal
    Pla, Filiberto
    [J]. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2015, 30 (11) : 906 - 917
  • [7] A Kinect-based 3D hand-gesture interface for 3D databases
    Herrera-Acuna, Raul
    Argyriou, Vasileios
    Velastin, Sergio A.
    [J]. JOURNAL ON MULTIMODAL USER INTERFACES, 2015, 9 (02) : 121 - 139
  • [8] A Kinect-based 3D hand-gesture interface for 3D databases
    Raul Herrera-Acuña
    Vasileios Argyriou
    Sergio A. Velastin
    [J]. Journal on Multimodal User Interfaces, 2015, 9 : 121 - 139
  • [9] Kinect-based 3D Assessment for Clubfoot Deformity: An Exploratory Study
    Ganesan, Balasankar
    Yip, Joanne
    Luximon, Ameersing
    Choukou, Mohamed-Amine
    Al-Jumaily, Adel
    [J]. AUGMENTED HUMAN 2020: PROCEEDINGS OF THE 11TH AUGMENTED HUMAN INTERNATIONAL CONFERENCE, 2020,
  • [10] 3D Kinect-Based Gaze Region Estimation in a Driving Simulator
    Gonzalez-Ortega, D.
    Gonzalez-Diaz, J.
    Diaz-Pernas, F. J.
    Martinez-Zarzuela, M.
    Anton-Rodriguez, M.
    [J]. UBIQUITOUS COMPUTING AND AMBIENT INTELLIGENCE, UCAMI 2017, 2017, 10586 : 789 - 795