Researching | Moving Least Squares Based Image Deformation Algorithm Improved with Tikhonov Regularization

Laser & Optoelectronics Progress, Volume. 56, Issue 23, 231004(2019)

Moving Least Squares Based Image Deformation Algorithm Improved with Tikhonov Regularization

Xiaoman Cui and Fengqin Yu^*

Author Affiliations

School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China

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Figures&Tables (8)

References (22)

Paper Information

Figures & Tables(8)

Fig. 1. Flowchart of MLS algorithm

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Fig. 2. Face feature point location

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Fig. 3. Reference image

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Fig. 4. Images to be transformed

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Fig. 5. Improved MLS image distortion in this paper

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Fig. 6. Regularized graph

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Fig. 7. Comparison of simulation results. (a) MLS algorithm for image deformation; (b) improved MLS algorithm for image deformation in this paper

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Table 1. Comparison of results of three methods
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Table 1. Comparison of results of three methods
Method Single imageextraction time Way
Proposed method 0.06 s Full automation
Method in Ref. [5] 0.14 s ASM
Method in Ref. [6] 0.1 s+manual time Semi-automation+manual time

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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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Paper Information

Category: Image Processing

Received: Apr. 23, 2019

Accepted: May. 27, 2019

Published Online: Nov. 27, 2019

The Author Email: Fengqin Yu (13961720781@163.com)

DOI:10.3788/LOP56.231004

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology