Development of a new dual‐pattern fringe projection scanner

Abzal, A.; Saadatseresht, M.; Varshosaz, Masood

doi:10.1111/phor.12269

Cited by 4 publications

(3 citation statements)

References 38 publications

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“…For example, when the fringe pattern is parallel to a feature with an edge, the feature may not be detected; however, a fringe perpendicular to the same edge will result in the detection of the feature. Furthermore, features with large slopes relative to the optical axis of the illuminator and the camera result in high-frequency fringe patterns that may be under-sampled by the camera 41 . In principle, MFPP can provide fringes in four different directions from a single snapshot, which greatly improves the chances that at least one fringe set will provide accurate local phase measurements (refer to Fig.…”

Section: Discussionmentioning

confidence: 99%

Single-shot detection of 8 unique monochrome fringe patterns representing 4 distinct directions via multispectral fringe projection profilometry

Omidi

Najiminaini

Diop

et al. 2021

Sci Rep

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Spatial resolution in three-dimensional fringe projection profilometry is determined in large part by the number and spacing of fringes projected onto an object. Due to the intensity-based nature of fringe projection profilometry, fringe patterns must be generated in succession, which is time-consuming. As a result, the surface features of highly dynamic objects are difficult to measure. Here, we introduce multispectral fringe projection profilometry, a novel method that utilizes multispectral illumination to project a multispectral fringe pattern onto an object combined with a multispectral camera to detect the deformation of the fringe patterns due to the object. The multispectral camera enables the detection of 8 unique monochrome fringe patterns representing 4 distinct directions in a single snapshot. Furthermore, for each direction, the camera detects two π-phase shifted fringe patterns. Each pair of fringe patterns can be differenced to generate a differential fringe pattern that corrects for illumination offsets and mitigates the effects of glare from highly reflective surfaces. The new multispectral method solves many practical problems related to conventional fringe projection profilometry and doubles the effective spatial resolution. The method is suitable for high-quality fast 3D profilometry at video frame rates.

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Section: Discussionmentioning

confidence: 99%

Single-shot detection of 8 unique monochrome fringe patterns representing 4 distinct directions via multispectral fringe projection profilometry

Omidi

Najiminaini

Diop

et al. 2021

Sci Rep

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show abstract

“…Furthermore, the extra layer may enlarge the object's volume and smooth out 3D roughness and microstructures. Photometric stereo (PS) aims at recovering the surface normals of a static scene from a set of images captured under different light directions with a fixed camera position (Woodham, 1980;Shi et al, 2018;Abzal et al, 2019). PS can recover a very detailed topography of non-collaborative objects which is impossible using MVS approaches with a few images (Shi et al, 2018;Karami et al, 2021).…”

Section: State Of the Artmentioning

confidence: 99%

FFT-Based Filtering Approach to Fuse Photogrammetry and Photometric Stereo 3d Data

Karami

Varshosaz

Menna

et al. 2023

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Image-based 3D reconstruction has been successfully employed for micro-measurements and industrial quality control purposes. However, obtaining a highly-detailed and reliable 3D reconstruction and inspection of non-collaborative surfaces is still an open issue. Photometric stereo (PS) offers the high spatial frequencies of the surface, but the low frequency is erroneous due to the mathematical model's assumptions and simplifications on how light interacts with the object surface. Photogrammetry, on the other hand, gives precise low-frequency information but fails to utilize high frequencies. As a result, in this research, we present a fusion strategy in Fourier domain to replace the low spatial frequencies of PS with the corresponding photogrammetric frequencies in order to have correct low frequencies while maintaining high frequencies from PS. The proposed method was tested on three different objects. Different cloud-to-cloud comparisons were provided between reference data and the 3D points derived from the proposed method to evaluate high and low frequency information. The obtained 3D findings demonstrated how the proposed methodology generates a high-detail 3D reconstruction of the surface topography (below 20 µm) while maintaining low-frequency information (0.09 µm on average for three different testing objects) by fusing photogrammetric and PS depth data with the proposed FFT-based method.

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“…PS‐based techniques have been, for long, used to deal with non‐collaborative objects. Basically, PS is used for computing the surface normals by observing an object under different lighting conditions (Woodham, 1980 ; Abzal et al., 2019). Over the years, many techniques have been developed that use the PS concept to extract the geometry of objects.…”

Section: Related Workmentioning

confidence: 99%

Exploiting Light Directionality for Image‐Based 3D Reconstruction of Non‐Collaborative Surfaces

Karami

Menna

Remondino

et al. 2022

The Photogrammetric Record

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Three-dimensional (3D) measurement of non-collaborative surfaces is still an open research topic. This paper investigates and quantifies for the first time the effect of light directionality and fusion of multiple images as a method to improve the quality of photogrammetric 3D reconstruction. For this aim, an image acquisition system that employs multiple light sources was developed to highlight the roughness and microstructures of the object under investigation. Images were captured at various grazing angles to highlight the local surface roughness and microstructures. Individual point clouds, created using images taken at different grazing angles, were produced using dense image-matching techniques. These point clouds were then compared against different 3D photogrammetric reconstructions obtained from a pre-processing of the acquired images based on diffuse lighting, median and average images. Experiments showed that exploiting light directionality significantly improves image-matching quality. Furthermore, depending on the light direction, the root mean square (RMS) error of the 3D surfaces obtained using the proposed system were up to 50% less than those created by traditional diffuse lighting.

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Development of a new dual‐pattern fringe projection scanner

Cited by 4 publications

References 38 publications

Single-shot detection of 8 unique monochrome fringe patterns representing 4 distinct directions via multispectral fringe projection profilometry

Single-shot detection of 8 unique monochrome fringe patterns representing 4 distinct directions via multispectral fringe projection profilometry

FFT-Based Filtering Approach to Fuse Photogrammetry and Photometric Stereo 3d Data

Exploiting Light Directionality for Image‐Based 3D Reconstruction of Non‐Collaborative Surfaces

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