Skin color correction via convolutional neural networks in 3D fringe projection profilometry [PDF]
, 2023 Fringe Projection Profilometry (FPP) with Digital Light Projector technology is one of the most reliable 3D sensing techniques for biomedical applications.
Barrios, Erik +4 more
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Invalid point removal method based on error energy function in fringe projection profilometry
Results in Physics, 2022 Invalid points, such as shadow and background, in the captured fringe patterns of fringe projection profilometry (FPP) are often inevitable due to the limited field of view measurements of three-dimensional (3D) imaging equipment.
Kaifeng Zhu +7 more
doaj +1 more source
Developing a Robust Acquisition System for Fringe Projection Profilometry [PDF]
, 2019 Since Fringe Projection Profilometry (FPP) is an intensity-based coding strategy, it is prone to improper optical setup arrangement, surface texture and reflectance, uneven illumination distribution, among others.
Marrugo A.G., Pineda J., Romero L.A.
core +1 more source
The height variance range for one frequency fringe pattern profilometry [PDF]
, 2010 The upper limit on the deepest step of the surface shape that can be accurately determined is an important performance measure associated with the fringe projection profilometry.
Cheng, Wenqing +4 more
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Fourier Transform Profilometry in LabVIEW [PDF]
, 2018 Fourier transform profilometry (FTP) is an established non-contact method for 3D sensing in many scientific and industrial applications, such as quality control and biomedical imaging.
Marrugo, Andrés G. +4 more
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Deep Learning-enabled Spatial Phase Unwrapping for 3D Measurement
, 2022 In terms of 3D imaging speed and system cost, the single-camera system projecting single-frequency patterns is the ideal option among all proposed Fringe Projection Profilometry (FPP) systems.
Bai, Songlin +4 more
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Untrained deep learning-based fringe projection profilometry
APL Photonics, 2022 Deep learning-based fringe projection profilometry (FPP) shows potential for challenging three-dimensional (3D) reconstruction of objects with dynamic motion, complex surface, and extreme environment. However, the previous deep learning-based methods are
Haotian Yu +4 more
doaj +1 more source
A fringe projection profilometry scheme based on embedded speckle patterns and robust principal component analysis [PDF]
, 2019 2019 SPIE. Phase unwrapping is one of the key steps for fringe projection profilometry (FPP)-based 3D shape measurements. Conventional spatial phase unwrapping schemes are sensitive to noise and discontinuities, which may suffer from low accuracies ...
Duan, Chengpu +6 more
core +2 more sources
Self-supervised phase unwrapping in fringe projection profilometry
, 2023 Fast-speed and high-accuracy three-dimensional (3D) shape measurement has been the goal all along in fringe projection profilometry (FPP). The dual-frequency temporal phase unwrapping method (DF-TPU) is one of the prominent technologies to achieve this ...
Gao, Xiaomin +3 more
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Métodos de calibración cámara-proyector con compensación de distorsiones geométricas en perfilometría por proyección de franjas: Un estudio comparativo [PDF]
, 2018 The calibration methods most used in fringe projection profilometry are based on models of least squares adjustment and stereo vision techniques. However, the geometric distortions of the projector and camera lenses introduce imprecision in certain ...
Marrugo, A.G. +4 more
core +1 more source