• Laser & Optoelectronics Progress
  • Vol. 56, Issue 23, 231004 (2019)
Xiaoman Cui and Fengqin Yu*
Author Affiliations
  • School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
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    DOI: 10.3788/LOP56.231004 Cite this Article Set citation alerts
    Xiaoman Cui, Fengqin Yu. Moving Least Squares Based Image Deformation Algorithm Improved with Tikhonov Regularization[J]. Laser & Optoelectronics Progress, 2019, 56(23): 231004 Copy Citation Text show less
    Flowchart of MLS algorithm
    Fig. 1. Flowchart of MLS algorithm
    Face feature point location
    Fig. 2. Face feature point location
    Reference image
    Fig. 3. Reference image
    Images to be transformed
    Fig. 4. Images to be transformed
    Improved MLS image distortion in this paper
    Fig. 5. Improved MLS image distortion in this paper
    Regularized graph
    Fig. 6. Regularized graph
    Comparison of simulation results. (a) MLS algorithm for image deformation; (b) improved MLS algorithm for image deformation in this paper
    Fig. 7. Comparison of simulation results. (a) MLS algorithm for image deformation; (b) improved MLS algorithm for image deformation in this paper
    MethodSingle imageextraction timeWay
    Proposed method0.06 sFull automation
    Method in Ref. [5]0.14 sASM
    Method in Ref. [6]0.1 s+manual timeSemi-automation+manual time
    Table 1. Comparison of results of three methods
    Xiaoman Cui, Fengqin Yu. Moving Least Squares Based Image Deformation Algorithm Improved with Tikhonov Regularization[J]. Laser & Optoelectronics Progress, 2019, 56(23): 231004
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