Laser & Optoelectronics Progress, Volume. 59, Issue 14, 1415016(2022)

Recognition Method for Spray-Painted Workpieces Based on Mask R-CNN and Fast Point Feature Histogram Feature Pairing

Junhui Ge1, Jian Wang1, Yiping Peng1, Jiexuan Li1, Changyan Xiao1、**, and Yong Liu2、*
Author Affiliations
  • 1College of Electrical and Information Engineering, Hunan University, Changsha 410082, Hunan , China
  • 2Zhejiang Tongji Vocational College of Science and Technology, Hangzhou 311231, Zhejiang , China
  • show less
    References(31)

    [14] Guo Y L. Local feature description 3D modeling and object recognition in point-clouds[D](2015).

    [17] Charles R Q, Yi L, Su H et al. Pointnet++: deep hierarchical feature learning on point sets in a metric space[C], 5099-5108(2017).

    [19] Liu T, Gao S J, Nie W Z. Multitarget detection algorithm based on multimodal information fusion[J]. Laser & Optoelectronics Progress, 59, 0815002(2022).

    [21] Ye Y X, Wang J S, Wu F Y et al. Target recognition and localization, bounding box optimization of disinfection robot[J]. Laser & Optoelectronics Progress, 59, 0415008(2022).

    [25] Zhao M F, Cao L B, Song T et al. Independent method for selecting radius of FPFH neighborhood in 3D point cloud registration[J]. Laser & Optoelectronics Progress, 58, 0610002(2021).

    [31] Li Y X, Guo J M, Pan S Y et al. A point cloud registration algorithm based on ISS-SHOT features[J]. Bulletin of Surveying and Mapping, 21-26(2020).

    Tools

    Get Citation

    Copy Citation Text

    Junhui Ge, Jian Wang, Yiping Peng, Jiexuan Li, Changyan Xiao, Yong Liu. Recognition Method for Spray-Painted Workpieces Based on Mask R-CNN and Fast Point Feature Histogram Feature Pairing[J]. Laser & Optoelectronics Progress, 2022, 59(14): 1415016

    Download Citation

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

    Category: Machine Vision

    Received: Apr. 1, 2022

    Accepted: May. 25, 2022

    Published Online: Jul. 1, 2022

    The Author Email: Changyan Xiao (c.xiao@hnu.edu.cn), Yong Liu (Z20420110204@zjtongji.edu.cn)

    DOI:10.3788/LOP202259.1415016

    Topics