Real-time reconstruction of wave field in laboratory based on binocular stereo vision

被引:0
|
作者
Li, De-Yu [1 ]
Xiao, Long-Fei [1 ,2 ]
Wei, Han-Di [1 ,2 ]
机构
[1] State Key Laboratory and Ocean Engineering, Shanghai Jiao Tong University, Shanghai,200240, China
[2] SJTU Yazhou Bay Institute of Deepsea Sci-Tech, Sanya,572024, China
来源
关键词
Binocular vision - Binoculars - Image matching - Image reconstruction - Image segmentation - Image texture - Ocean structures - Stereo vision;
D O I
10.3969/j.issn.1007-7294.2024.10.001
中图分类号
学科分类号
摘要
The accurate measurement of wave evolution is fundamental for the hydrodynamic studies of marine structures. An image-based method was proposed to measure waves in the laboratory based on binocular stereo vision. The light foam particles were used as trackers to mark wave surface for obtaining the wave images with sufficient textures. The images were rectified based on epipolar constraint, and threshold segmentation was used to avoid the interference of uneven light and bottom reflection. A stereo matching algorithm with GPU acceleration was used to achieve the real-time matching of wave images, obtaining the point cloud and mesh of the wave surface. Through the reconstruction of the image sequences, the wave time series, wave heights and periods were extracted. They were then compared with the measurements by wave probes, showing great agreements. The results indicate that the proposed method can accurately measure the 3D wave field in the laboratory, capturing the instantaneous evolution of wave and providing real-time monitoring. © 2024 China Ship Scientific Research Center. All rights reserved.
引用
收藏
页码:1463 / 1471
相关论文
共 50 条
  • [11] Toward Accurate and Real-Time Binocular Vision: A Lightweight Stereo Matching Network for RGB Stereo Images
    Wu, Zhong
    Zhu, Hong
    He, Lili
    Shi, Jing
    IEEE SENSORS JOURNAL, 2024, 24 (03) : 3540 - 3553
  • [12] An Object Reconstruction Method Based on Binocular Stereo Vision
    Liu, Yu
    Li, Chao
    Gong, Jixiang
    INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2017, PT II, 2017, 10463 : 486 - 495
  • [13] A Real-Time Stereo Vision Based Obstacle Detection
    Baha, Nadia
    Tolba, Mouslim
    EMERGING TRENDS AND ADVANCED TECHNOLOGIES FOR COMPUTATIONAL INTELLIGENCE, 2016, 647 : 347 - 364
  • [14] A real-time FPGA based architecture for stereo vision
    Arias-Estrada, M
    Xicotencatl, JM
    REAL-TIME IMAGING V, 2001, 4303 : 59 - 66
  • [15] A Real-time Ranging Method Based on Parallel Binocular Vision
    Xu, Huantai
    Liu, Xia
    Zhu, Chengfei
    Li, Shuxiao
    Chang, Hongxing
    2017 10TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL. 1, 2017, : 183 - 187
  • [16] Real-time color stereo vision system for a mobile robot based on field multiplexing
    Matsumoto, Y
    Shibata, T
    Sakai, K
    Inaba, M
    Inoue, H
    1997 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION - PROCEEDINGS, VOLS 1-4, 1997, : 1934 - 1939
  • [17] Real-Time FPGA-Based Binocular Stereo Vision System with Semi-Global Matching Algorithm
    Chen, Zhuoyu
    Dong, Pingchen
    Li, Zhuoao
    Yao, Ruoheng
    Ma, Yunhao
    Fang, Xiwei
    Deng, Huanshihong
    Zhang, Wenyue
    Chen, Lei
    An, Fengwei
    34TH IEEE INTERNATIONAL SYSTEM ON CHIP CONFERENCE (SOCC), 2021, : 158 - 163
  • [18] Surface Reconstruction of Stamping Parts Based on Binocular Stereo Vision
    Xiang, Huiyu
    Han, Baoan
    Huang, Jiajun
    Li, Zhe
    AUTOMATIC CONTROL AND MECHATRONIC ENGINEERING II, 2013, 415 : 314 - 317
  • [19] Improvements in real-time correlation-based stereo vision
    Hirschmüller, H
    IEEE WORKSHOP ON STEREO AND MULTI-BASELINE VISION, PROCEEDINGS, 2001, : 141 - 148
  • [20] Field calibration of binocular stereo vision based on fast reconstruction of 3D control field
    Zhang, Haijun
    Liu, Changjie
    Fu, Luhua
    Guo, Yin
    2015 INTERNATIONAL CONFERENCE ON OPTICAL INSTRUMENTS AND TECHNOLOGY: OPTOELECTRONIC MEASUREMENT TECHNOLOGY AND SYSTEMS, 2015, 9623