• Laser & Optoelectronics Progress
  • Vol. 59, Issue 22, 2215006 (2022)
Gaojie Wang1,*, Xiangyang Hao1, and Shufeng Miao2
Author Affiliations
  • 1Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, Henan, China
  • 2Wuhan Kedao Geographical Information Engineering Co., Ltd., Wuhan 430081, Hubei, China
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    DOI: 10.3788/LOP202259.2215006 Cite this Article Set citation alerts
    Gaojie Wang, Xiangyang Hao, Shufeng Miao. An Overall Matching Algorithm for Image Feature Points in Visual Navigation[J]. Laser & Optoelectronics Progress, 2022, 59(22): 2215006 Copy Citation Text show less
    Image sampling diagram
    Fig. 1. Image sampling diagram
    Fitting results of detection threshold and feature coefficient
    Fig. 2. Fitting results of detection threshold and feature coefficient
    Method of image area segmentation. (a) Target image;(b) image to be matched
    Fig. 3. Method of image area segmentation. (a) Target image;(b) image to be matched
    Diagram of point selection. (a) Target image; (b) image to be matched
    Fig. 4. Diagram of point selection. (a) Target image; (b) image to be matched
    Epipolar constraint and position constraint
    Fig. 5. Epipolar constraint and position constraint
    Effect of parameter values on matching results
    Fig. 6. Effect of parameter values on matching results
    Results of feature point extraction by proposed method
    Fig. 7. Results of feature point extraction by proposed method
    Results of feature point matching by proposed method
    Fig. 8. Results of feature point matching by proposed method
    Comparison of average running time for image feature point matching in different data sets. (a) TUM data set; (b) UAV data set;(c) images captured by mobile robots
    Fig. 9. Comparison of average running time for image feature point matching in different data sets. (a) TUM data set; (b) UAV data set;(c) images captured by mobile robots
    Image numberProposed methodFASTORB
    Number

    Repeat

    points

    Repetition

    rate /%

    Number

    Repeat

    points

    Repetition

    rate /%

    Number

    Repeat

    points

    Repetition

    rate /%

    136/342471160/158895636/342265
    235/402571195/2071196135/402366
    338/442566156/165925938/442668
    438/472668192/1811196638/472874
    531/331961156/174865531/332168
    628/311864159/157935928/311864
    Table 1. Results of different methods for feature point extraction
    Data setImage numberProposed methodFASTORB

    Matching

    number

    Accuracy

    rate /%

    Matching

    number

    Accuracy

    rate /%

    Matching

    number

    Accuracy

    rate /%

    360_kidnap383

    6160/5895

    6882/6764

    6762/6513

    4788/4433

    8687/8635

    9480/9363

    10863/10713

    14340/14196

    5858/5702

    6661/6395

    7383/7116

    95.70

    51418/39895

    66186/49594

    57776/42204

    42681/31089

    40013/32419

    49022/37483

    57008/43434

    90032/73818

    37371/29300

    34124/28268

    37970/31397

    77.59

    38460/35996

    39940/37864

    38720/35125

    29824/26931

    45027/43065

    50182/47815

    47649/46483

    56979/52679

    39265/33434

    38719/36392

    44284/42175

    93.59
    freiburg2_desk40898.2974.9394.80
    large_no_loop39996.3273.0590.72
    pioneer_slam31192.5972.8490.30
    building138099.4081.0295.64
    building245598.7776.4695.28
    building345098.6276.1997.55
    building448799.0081.9992.45
    test134997.3478.4085.15
    test237196.0182.8493.99
    test340296.3882.6995.24
    Table 2. Results of different methods for image feature point matching
    Gaojie Wang, Xiangyang Hao, Shufeng Miao. An Overall Matching Algorithm for Image Feature Points in Visual Navigation[J]. Laser & Optoelectronics Progress, 2022, 59(22): 2215006
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