Camera pose estimation based on structure from motion

Alkhatib, Mohammad; Bobkov, A.; Zadoroznaya, N.M.

doi:10.1016/j.procs.2021.04.205

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…The time is calculated, then multiplied by the speed of light in air, and divided it by two to get the distance. Structure from motion SFM [4] or stereo vision (accuracy for the 3D scanner is 5 -1 cm) [5] and structured-light SL (accuracy for the 3D scanner is 100 -10 m) [6,7]. SL is a very popular non-contact 3D shape measurement technique with the advantages in terms of high measurement accuracy, high point density, high speed, and low cost.…”

Section: Introductionmentioning

confidence: 99%

3D measurement using fringe projection profilometry

Alkhatib,

Shmelev,

Tyshova

et al. 2023

Computer Optics

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This work is devoted to measuring the depth of the 3D object using the structured light method, in particular, phase shift profilometry. Theoretical studies on the methods of three-dimensional measurement systems and fringe projection profilometry are presented. The phase shift profilometry method with an improved calculation of the frequency of sinusoidal patterns is applied. In practical implementation in the environment (20 cm × 30 cm), the algorithm is tested on a stepped object consisting of eight steps with a difference of 150 mm between two successive steps. In this case, the achievable error for measuring such an object is 20 mm. Our method has great potential in industrial applications where the measurement of the smoothing of the surface of the object is needed to find the defect in the surface with high accuracy without contacting the object.

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