High-speed simultaneous measurement of depth and normal for real-time 3D reconstruction

被引:3
|
作者
Miyashita, Leo [1 ]
Kimura, Yohta [1 ]
Tabata, Satoshi [1 ]
Ishikawa, Masatoshi [1 ]
机构
[1] Univ Tokyo, Tokyo, Japan
关键词
Infrared; dichroic; depth; normal; stereo; photometric; GPU; PHOTOMETRIC STEREO; QR;
D O I
10.1117/12.2595398
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
3D shape measurement technology is expected to be applied in a wide range of research fields. In particular, systems and methods for high-speed 3D shape measurements are needed when a target object is moving or deforming. Besides, in most 3D shape measurement systems, 3D geometry is reconstructed only from depth information and lacks high-frequency surface details. On the other hand, a 3D reconstruction based on surface normal can recover the high-frequency component but involves errors in the low-frequency component due to integration. In other words, depth and normal are complementary in 3D shape measurement. In this paper, we propose a new optical system setup for high-speed simultaneous measurement of depth and normal with an active stereo method and a photometric stereo method. The proposed method realizes the 3D shape measurement at 400 fps with absolute positional information and detailed surface information.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] High-speed real-time simulation
    Crosbie, Roy E.
    AMS 2007: FIRST ASIA INTERNATIONAL CONFERENCE ON MODELLING & SIMULATION ASIA MODELLING SYMPOSIUM, PROCEEDINGS, 2007, : 7 - 12
  • [22] High dynamic range real-time 3D shape measurement
    Jiang, Chufan
    Bell, Tyler
    Zhang, Song
    OPTICS EXPRESS, 2016, 24 (07): : 7337 - 7346
  • [23] A HIGH-SPEED AND CONTINUOUS 3D MEASUREMENT SYSTEM
    ARAKI, K
    SHIMIZU, M
    NODA, T
    CHIBA, Y
    TSUDA, Y
    IKEGAYA, K
    SANNOMIYA, K
    GOMI, M
    MACHINE VISION AND APPLICATIONS, 1995, 8 (02) : 79 - 84
  • [24] A High-speed 3D Image Measurement Method
    Sun, Ke
    Yao, Yundi
    Lu, Cunwei
    PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 16TH '11), 2011, : 314 - 317
  • [25] StereoScan: Dense 3d Reconstruction in Real-time
    Geiger, Andreas
    Ziegler, Julius
    Stiller, Christoph
    2011 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2011, : 963 - 968
  • [26] DenseMatch: a dataset for real-time 3D reconstruction
    Lombardi, Marco
    Savardi, Mattia
    Signoroni, Alberto
    DATA IN BRIEF, 2021, 39
  • [27] Real-Time Active Multiview 3D Reconstruction
    Ide, Kai
    Sikora, Thomas
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON COMPUTER VISION IN REMOTE SENSING, 2012, : 203 - 208
  • [28] Real-time 3D cone beam reconstruction
    Stsepankou, D
    Kornmesser, K
    Hesser, J
    Männer, R
    2004 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD, VOLS 1-7, 2004, : 3648 - 3652
  • [29] Real-time active 3D shape reconstruction for 3D video
    Wu, X
    Matsuyama, T
    ISPA 2003: PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS, PTS 1 AND 2, 2003, : 186 - 191
  • [30] Distributed High-Speed Videogrammetry for Real-Time 3D Displacement Monitoring of Large Structure on Shaking Table
    Shi, Haibo
    Chen, Peng
    Liu, Xianglei
    Hong, Zhonghua
    Ye, Zhen
    Gao, Yi
    Liu, Ziqi
    Tong, Xiaohua
    REMOTE SENSING, 2024, 16 (23)