Results 121 to 130 of about 394 (147)

Robust Fringe Projection Profilometry via Sparse Representation

IEEE Transactions on Image Processing, 2016
In this paper, a robust fringe projection profilometry (FPP) algorithm using the sparse dictionary learning and sparse coding techniques is proposed. When reconstructing the 3D model of objects, traditional FPP systems often fail to perform if the captured fringe images have a complex scene, such as having multiple and occluded objects.
Budianto, Lun, DPK
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Fringe projection profilometry with phase-coded optics

Optical Metrology and Inspection for Industrial Applications VIII, 2021
Fringe projection profilometry (FPP) is a commonly used tool in the three-dimensional (3D) measurement of diffuse objects in reverse engineering, products online detection, medical diagnosis, etc. However, due to the limited depth-of-field (DOF) of projection-imaging lenses, the contrast of captured sinusoidal fringes will decrease with the increase ...
Qi Yan, Suodong Ma, Feng Xu, Xu Chen, Qitai Huang   +4 more
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Fringe contrast-based 3D profilometry using fringe projection

Optik, 2005
Quality-guided algorithm is a widely used method in phase unwrapping. This paper shows an accurate quality map based on fringe contrast for 3D shape measurement. Phase-shifted fringe patterns are projected onto an object surface by a programmable liquid crystal projector and recorded by a CCD camera.
Chen, L., Quan, C., Tay, C.J., Huang, Y.
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Profilometry by fringe projection

Optical Engineering, 2003
We present a method to obtain profilometry of a suitable ob- ject by fringe projection. The method is appropriate to the case of large objects as compared to the distance from the illuminating source, that is, a nonconstant equivalent wavelength. We develop an experiment to lat- erally displace a set of fringes on a sphere and obtain quantitative re ...
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Projected fringe profilometry for metal surfaces

SPIE Proceedings, 2015
ABSTRACT A non-scanning method to describe the 3D profile of a metal surface is proposed. A fringe pa ttern is posited in front of the metal surface. A virtual image of the fringe pattern is formed behind the metal surface. Fringes on the virtual image are deformed by topography of th e metal object. Thus, phase of the deformed frin ges is desirable to
Wei-Hung Su, Bo-Chin Huang
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High sensitivity fringe projection profilometry combining optimal fringe frequency and optimal fringe direction

Holography, Diffractive Optics, and Applications X, 2020
Abstract Phase sensitivity plays a vital role in accurately retrieving three-dimensional (3D) shape of diffused objects in fringe projection profilometry (FPP). With regard to traditional means that simply project horizontal or vertical fringe patterns, the fringe frequency and direction may not be the best choice to acquire optimal sensitivity to ...
Jin Yu, Nan Gao, Zonghua Zhang, Zhaozong Meng   +3 more
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Deformation measurements using projected fringe profilometry

SPIE Proceedings, 2012
An approach using fringe projection to perform the deformation measurement is proposed. A fringe pattern is illuminated onto the dynamic object, and a CCD camera is employed to record the fringe distribution. For a sufficient long recording time, fringes on the obtained image are deformed by the topography of the object, and also, blurred by motion.
Wei-Hung Su, Wei-Ting Co
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Image enhancement for fringe projection profilometry

2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013
The fringe projection profilometry (FPP) is a popular approach for acquiring high-fidelity 3D model of objects. In the FPP, parallel fringe patterns are projected onto an object, and the deformed fringe as shown on the object surface is captured by a camera for 3D reconstruction. Due to the imperfection of imaging devices and operating environment, the
William Wai-Lam Ng, Daniel Pak-Kong Lun
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Fringe projection profilometry based on complementary color-encoded fringe patterns

Optics & Laser Technology, 2012
Abstract 3D measurement techniques based on color-encoded fringe pattern projection have been widely used in various fields of engineering recently. There is one problem that the surface color of measured object may interfere with the color of projected fringe pattern.
Feipeng Da, Luyang Wang, Luyao Hu
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Deep-learning-enabled fringe projection profilometry

Optical Metrology and Inspection for Industrial Applications VII, 2020
We introduce our recent work in deep-learning-based fringe projection profilometry (FPP), including phase retrieval, phase unwrapping, geometric constraint, color fringe demultiplexing, and high-dynamic-range imaging.
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