Implementation of 3D Object Reconstruction using a Pair of Kinect Cameras

被引:0
|
作者
Shin, Dong-Won [1 ]
Ho, Yo-Sung [1 ]
机构
[1] Gwangju Inst Sci & Technol, Sch Informat & Commun, Gwangju, South Korea
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, we propose a process of 3D object reconstruction using a pair of Kinect cameras. After we refine raw depth images from two Kinect cameras using a joint bilateral filter, we find intrinsic and extrinsic parameters by camera calibration. Then, we apply 3D warping to obtain a point cloud model in the 3D space and acquire a smooth surface model of the 3D object. In order to accelerate a processing speed, we employ a CUDA framework for GPU parallel processing. We reconstruct depth data in the integrated 3D space and obtain a 3D object model at 5 fps.
引用
收藏
页数:4
相关论文
共 50 条
  • [31] 3D Reconstruction with Mirrors and RGB-D Cameras
    Akay, Abdullah
    Akgul, Yusuf Sinan
    PROCEEDINGS OF THE 2014 9TH INTERNATIONAL CONFERENCE ON COMPUTER VISION, THEORY AND APPLICATIONS (VISAPP 2014), VOL 3, 2014, : 325 - 334
  • [32] 3D Object Reconstruction Using Full Pixel Matching
    Yaguchi, Yuichi
    Iseki, Kenta
    Viet, Nguyen Tien
    Oka, Ryuichi
    COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PROCEEDINGS, 2009, 5702 : 873 - 880
  • [33] Dense Reconstruction Using 3D Object Shape Priors
    Dame, Amaury
    Prisacariu, Victor A.
    Ren, Carl Y.
    Reid, Ian
    2013 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2013, : 1288 - 1295
  • [34] 3D Object Reconstruction using Stationary RGB Camera
    Junior, Jose G. dos S.
    Lima, Gustavo C. R.
    Pinto, Adam H. M.
    Lima, Joao Paulo S. do M.
    Teichrieb, Veronica
    Quintino, Jonysberg P.
    da Silva, Fabio Q. B.
    Santos, Andre L. M.
    Pinho, Helder
    PROCEEDINGS OF THE 17TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISAPP), VOL 5, 2022, : 793 - 800
  • [35] A PSO Approach In The 3D Object Reconstruction Using Supershapes
    Remmach, Hassnae
    Sadgal, Mohamed
    Elfazziki, Aziz
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON NETWORKING, INFORMATION SYSTEMS & SECURITY (NISS19), 2019,
  • [36] Panoramic 3D Reconstruction with Three Catadioptric Cameras
    Schoenbein, Miriam
    Rapp, Holger
    Lauer, Martin
    INTELLIGENT AUTONOMOUS SYSTEMS 12, VOL 1, 2013, 193 : 345 - 353
  • [37] Photorealistic 3D reconstruction from handheld cameras
    Tomás Rodríguez
    Peter Sturm
    Pau Gargallo
    Nicolas Guilbert
    Anders Heyden
    Fernando Jauregizar
    J. M. Menéndez
    J. I. Ronda
    Machine Vision and Applications, 2005, 16 : 246 - 257
  • [38] 3D Face Reconstruction Using Images from Cameras with Varying Parameters
    Mostafa Merras
    Soulaiman El Hazzat
    Abderrahim Saaidi
    Khalid Satori
    Abderrazak Gadhi Nazih
    International Journal of Automation and Computing, 2017, 14 (06) : 661 - 671
  • [39] 3D bubble reconstruction using multiple cameras and space carving method
    Fu, Yucheng
    Liu, Yang
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2018, 29 (07)
  • [40] Automatic 3D reconstruction and verification of an individual crop using Kinect V3
    Chen H.
    Liu S.
    Wang L.
    Wang C.
    Xiang X.
    Zhao Y.
    Lan Y.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2022, 38 (16): : 215 - 223