• Laser & Optoelectronics Progress
  • Vol. 57, Issue 4, 041014 (2020)
Xiaowen Yang*, Honghong Yin, Xie Han, and Jiaming Liu
Author Affiliations
  • School of Data Science and Technology, North University of China, Taiyuan, Shanxi 030051, China
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    DOI: 10.3788/LOP57.041014 Cite this Article Set citation alerts
    Xiaowen Yang, Honghong Yin, Xie Han, Jiaming Liu. Mesh Segmentation Based on Optimizing Extreme Learning Machine with Ant Lion Optimization[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041014 Copy Citation Text show less
    Overall flow chart of our method
    Fig. 1. Overall flow chart of our method
    Convergence of Airplane model at different population sizes
    Fig. 2. Convergence of Airplane model at different population sizes
    Convergence of Octopus model at different population sizes
    Fig. 3. Convergence of Octopus model at different population sizes
    Segmentation results of six types of models
    Fig. 4. Segmentation results of six types of models
    Bar chart showing average segmentation accuracy obtained with the methods in references[6-8] and our method
    Fig. 5. Bar chart showing average segmentation accuracy obtained with the methods in references[6-8] and our method
    DatasetAverage segmentation accuracy /%
    CGF[2014]ATG[2015]CEA[2017]Ours
    Airplane94.4997.7496.2097.00
    Ant95.9898.8497.5998.07
    Chair97.4198.5397.7398.05
    Octopus98.7398.87-99.49
    Teddy97.7498.5398.4498.79
    Fish95.6896.7496.3597.35
    Table 1. Comparison of average segmentation accuracy obtained with the methods in references [6-8] and our method
    DatasetTotal number of patchesTraining time / s
    Airplane253954997.49
    Ant2991561112.56
    Fish239886901.69
    Table 2. Time consumption of our method during training the model with 200000-300000 patches
    Xiaowen Yang, Honghong Yin, Xie Han, Jiaming Liu. Mesh Segmentation Based on Optimizing Extreme Learning Machine with Ant Lion Optimization[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041014
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