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
下载
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] Real-time visual sensing system achieving high-speed 3D particle tracking with nanometer resolution
    Cheng, Peng
    Jhiang, Sissy M.
    Menq, Chia-Hsiang
    APPLIED OPTICS, 2013, 52 (31) : 7530 - 7539