2022
DOI: 10.3390/s22218172
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Combining Photogrammetry and Photometric Stereo to Achieve Precise and Complete 3D Reconstruction

Abstract: Image-based 3D reconstruction has been employed in industrial metrology for micro-measurements and quality control purposes. However, generating a highly-detailed and reliable 3D reconstruction of non-collaborative surfaces is still an open issue. In this paper, a method for generating an accurate 3D reconstruction of non-collaborative surfaces through a combination of photogrammetry and photometric stereo is presented. On one side, the geometric information derived with photogrammetry is used in areas where i… Show more

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Cited by 26 publications
(20 citation statements)
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“…More realistic models have been proposed. The methods for solving PS have been generalized to a point light source (Quéau et al, 2018a, Karami et al, 2022, which characterizes a LED illumination rather well.…”
Section: Normal Estimationmentioning
confidence: 99%
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“…More realistic models have been proposed. The methods for solving PS have been generalized to a point light source (Quéau et al, 2018a, Karami et al, 2022, which characterizes a LED illumination rather well.…”
Section: Normal Estimationmentioning
confidence: 99%
“…This is mainly due to the illumination estimation, which is generally too coarse to describe accurately the incident flux at each point of the scene. One solution is to use a more sophisticated lighting estimation method (Karami et al, 2022). Another way, simpler to implement, consists in using the 3D points obtained by SfM as hard constraints during the integration of the normals, which is indeed possible with some integration methods (Quéau et al, 2018b).…”
Section: Integration Of Ps In Meshroommentioning
confidence: 99%
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“…There are also attempts to combine photogrammetry with other scanning techniques to take advantage of each of them. For example, in [ 25 ], the photogrammetry technique was combined with photometric stereo, achieving high-quality reconstruction. In publications [ 26 , 27 ], data from laser scanning and photogrammetry were integrated.…”
Section: Introductionmentioning
confidence: 99%
“…Due to refraction and mirror-like reflections, a part of the surface recorded textures of such objects is not invariant to the camera viewpoint being also dependent on the object's shape, surrounding environment, and illumination conditions. Therefore, standard procedures like those implemented in SfM applications become ineffective, leading to significant mistakes and, most frequently, failures in the image matching and orientation process (Hosseininaveh et al, 2015;Wu et al, 2018;Karami et al, 2022c).…”
Section: Introductionmentioning
confidence: 99%