NDLI: Absolute phase unwrapping with SVM for fringe-projection profilometry

Content Provider	IET Digital Library
Author	Xiang, Sen Deng, Huiping Wu, Jin Zhu, Changjian
Abstract	Phase unwrapping is a fundamental task in phase-based profilometry. Existing spatial and temporal approaches are facing challenges such as error propagation and low efficiency. In this study, the authors propose a learning-based method that uses a support vector machine (SVM) to perform phase unwrapping, where the problem is solved as a classification task. To be specific, seven elements, extracted from the captured patterns and the wrapped phase, form the input feature vector and the fringe order is the output class. Besides, a radial basis function kernel SVM is adopted as the model. The proposed method is conducted independently for every pixel, and does not suffer from error propagation in the spatial unwrapping. Moreover, it needs fewer patterns than temporal unwrapping since only one phase map is required. Simulation and experimental results demonstrate that the proposed scheme produces precise depth maps, which are comparable with the complex quality-guided methods but at a much faster speed.
Starting Page	2645
Ending Page	2651
Page Count	7
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 12, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.1611
Journal	IET Image Processing
Publisher Date	2020-04-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Absolute Phase Unwrapping Complex Quality-guided Method Computer Vision And Image Processing Technique Fringe-projection Profilometry Image Capture Knowledge Engineering Technique Learning in AI Learning-Based Method Optical, Image And Video Signal Processing Phase-based Profilometry Radial Basis Function Kernel SVM Radial Basis Function Network Support Vector Machine Surface Band Structure Surface Electron Density of State Surface State Temporal Unwrapping Wrapped Phase
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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