Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Chinese Journal of Lasers, Volume. 52, Issue 2, 0204004(2025)

Sub‐Pixel Level Self‐Supervised Convolutional Neural Network for Rapid Speckle Image Matching

Lin Li, Peng Wang*, Yue Li, Haotian Wang, Luhua Fu, and Changku Sun
Author Affiliations
  • State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin 300372, China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (20)
    Equations (0)
    References (26)
    Tools
    Paper Information
    Topics
    References(26)

    [1] Peng Q H, Zhao T Q, Liu C K et al. A robust feature matching method for wide-baseline lunar images[J]. Acta Optica Sinica, 43, 2410001(2023).

    [2] Wang R C, Wang K, Song W J et al. Aerial-ground collaborative continuous risk mapping for autonomous driving of unmanned ground vehicle in off-road environments[J]. IEEE Transactions on Aerospace and Electronic Systems, 59, 9026-9041(2023).

    [3] Li Y, Sun C K, Dong H et al. IMU-assisted uncertainty-weighted attitude estimation algorithm from noncorresponding points[J]. IEEE Sensors Journal, 24, 8281-8292(2024).

    [4] Su B, Tao F, Li K et al. Image alignment for synchrotron radiation based X-ray nano-CT[J]. Acta Physica Sinica, 70, 160704(2021).

    [5] Liu C, Gai S Y, Da F P. Sub-regional phase error compensation for structural light measurement[J]. Chinese Journal of Lasers, 45, 0604002(2018).

    [6] Li L, Wang P, Wang L R et al. DSCNet: lightweight and efficient self-supervised network via depthwise separable cross convolution blocks for speckle image matching[J]. Optics Express, 32, 10715-10731(2024).

    [7] Zhong J X, Yin W, Feng S J et al. Speckle projection profilometry with deep learning[J]. Infrared and Laser Engineering, 49, 20200011(2020).

    [8] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 60, 91-110(2004).

    [9] Bay H, Ess A, Tuytelaars T et al. Speeded-up robust features (SURF)[J]. Computer Vision and Image Understanding, 110, 346-359(2008).

    [10] Rublee E, Rabaud V, Konolige K et al. ORB: an efficient alternative to SIFT or SURF[C], 2564-2571(2011).

    [11] Li X X, Sun C K, Sun Y J et al. Multi-constrained speckle propagation matching method combined with descriptor information[J]. Laser & Optoelectronics Progress, 60, 0611003(2023).

    [12] Liu X J, Zhao H S, Zhan G M et al. Rapid and automatic 3D body measurement system based on a GPU-Steger line detector[J]. Applied Optics, 55, 5539-5547(2016).

    [13] Schaffer M, Grosse M, Harendt B et al. High-speed three-dimensional shape measurements of objects with laser speckles and acousto-optical deflection[J]. Optics Letters, 36, 3097-3099(2011).

    [14] Khan D, Shirazi M A, Kim M Y. Single shot laser speckle based 3D acquisition system for medical applications[J]. Optics and Lasers in Engineering, 105, 43-53(2018).

    [15] Yeh C H, Sung P Y, Kuo C H et al. Robust laser speckle recognition system for authenticity identification[J]. Optics Express, 20, 24382-24393(2012).

    [16] Yang F, Fu S H. Research on feature extraction and matching algorithm based on speckle structured light binocular vision system[J]. Proceedings of SPIE, 11338, 1133839Q(2019).

    [17] Yin W, Hu Y, Feng S J et al. Single-shot 3D shape measurement using an end-to-end stereo matching network for speckle projection profilometry[J]. Optics Express, 29, 13388-13407(2021).

    [18] Wang R K, Zhou P, Zhu J P. Accurate 3D reconstruction of single-frame speckle-encoded textureless surfaces based on densely connected stereo matching network[J]. Optics Express, 31, 14048-14067(2023).

    [19] Dong Y Z, Yang X, Wu H T et al. Lightweight and edge-preserving speckle matching network for precise single-shot 3D shape measurement[J]. Measurement, 210, 112549(2023).

    [20] DeTone D, Malisiewicz T, Rabinovich A. SuperPoint: self-supervised interest point detection and description[C], 337-33712(2018).

    [21] Sun J M, Shen Z H, Wang Y A et al. LoFTR: detector-free local feature matching with transformers[C], 8918-8927(2021).

    [22] Rocco I, Arandjelović R, Sivic J. Convolutional neural network architecture for geometric matching[C], 2553-2567(2017).

    [23] Dusmanu M, Rocco I, Pajdla T et al. D2-net: a trainable CNN for joint description and detection of local features[C], 8084-8093(2019).

    [24] Zhao X M, Wu X M, Miao J Y et al. ALIKE: accurate and lightweight keypoint detection and descriptor extraction[J]. IEEE Transactions on Multimedia, 25, 3101-3112(2023).

    [25] Tyszkiewicz M J, Fua P, Trulls E. DISK: learning local features with policy gradient[EB/OL]. https:∥arxiv.org/abs/2006.13566

    [26] Pautrat R, Suárez I, Yu Y F et al. GlueStick: robust image matching by sticking points and lines together[C], 9672-9682(2023).

    Tools

    Get Citation

    Copy Citation Text

    Lin Li, Peng Wang, Yue Li, Haotian Wang, Luhua Fu, Changku Sun. Sub‐Pixel Level Self‐Supervised Convolutional Neural Network for Rapid Speckle Image Matching[J]. Chinese Journal of Lasers, 2025, 52(2): 0204004

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Set citation alerts for article
    Save article for my favorites
    Paper Information

    Category: Measurement and metrology

    Received: Jun. 17, 2024

    Accepted: Aug. 1, 2024

    Published Online: Jan. 20, 2025

    The Author Email: Wang Peng (wang_peng@tju.edu.cn)

    DOI:10.3788/CJL240981

    CSTR:32183.14.CJL240981

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology