• Laser & Optoelectronics Progress
  • Vol. 56, Issue 8, 081004 (2019)
Kai Wang1,2,**, Zhiwei Li1,*, Chengde Zhu1, Lu Wang1..., Runcai Huang1 and Hengchang Guo2|Show fewer author(s)
Author Affiliations
  • 1 School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201600, China
  • 2 Shanghai M & G Stationery Inc., Shanghai 201406, China;
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    DOI: 10.3788/LOP56.081004 Cite this Article Set citation alerts
    Kai Wang, Zhiwei Li, Chengde Zhu, Lu Wang, Runcai Huang, Hengchang Guo. Local Stereo Matching Algorithm Based on Secondary Guided Filtering[J]. Laser & Optoelectronics Progress, 2019, 56(8): 081004 Copy Citation Text show less
    Secondary guided filtering model
    Fig. 1. Secondary guided filtering model
    Flow chart of proposed algorithm
    Fig. 2. Flow chart of proposed algorithm
    Disparity maps of different filters on Teddy image. (a) Primary guided filtering; (b) secondary guided filtering
    Fig. 3. Disparity maps of different filters on Teddy image. (a) Primary guided filtering; (b) secondary guided filtering
    Disparity results of Middlebury stereo pairs by different algorithms. (a) Original color images; (b) real disparity maps; (c) disparity maps obtained by multiscale guided filtering; (d) disparity maps obtained by proposed algorithm; (e) error matching point by proposed algorithm
    Fig. 4. Disparity results of Middlebury stereo pairs by different algorithms. (a) Original color images; (b) real disparity maps; (c) disparity maps obtained by multiscale guided filtering; (d) disparity maps obtained by proposed algorithm; (e) error matching point by proposed algorithm
    AlgorithmTsukubaVenusTeddyConesAvgPBP
    nonoccalldiscnonoccalldiscnonoccalldiscnonoccalldisc
    S-NL1.762.877.461.243.236.185.7314.8817.244.4216.0514.057.93
    S-ST2.043.258.241.413.486.766.2215.4817.884.7616.5814.278.37
    S-BF2.333.218.341.293.196.858.1717.2919.465.4115.9314.678.85
    S-GF2.33.48.561.093.166.536.9916.6118.863.2314.213.358.19
    Proposed1.822.997.350.341.533.456.9314.7416.083.212.2911.456.84
    Table 1. Comparison of experimental results of Middlebury stereo pairs%
    AlgorithmTsukubaVenusTeddyCones
    S-ST4.557.8636.2036.32
    S-BF203.76380.711287.731391.03
    S-GF3.987.6942.3642.48
    Proposed5.6411.0353.4953.54
    Table 2. Comparison of average runtime of different algorithmss
    Kai Wang, Zhiwei Li, Chengde Zhu, Lu Wang, Runcai Huang, Hengchang Guo. Local Stereo Matching Algorithm Based on Secondary Guided Filtering[J]. Laser & Optoelectronics Progress, 2019, 56(8): 081004
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