Three-dimensional image reconstruction of macroscopic objects from a single digital hologram using stereo disparity

Özgürün, Baturay; Tayyar, Duygu Önal; Agiş, Kaan Özer; Özcan, Meriç

doi:10.1364/ao.56.000f84

Cited by 7 publications

(2 citation statements)

References 19 publications

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“…Profile measurement is one of the most important techniques in the optical inspection and vision 1–4 . Recently, information acquirement of the 3D profile is popular in the research fields of the automotive industry 5 , the robot vision 6 , the medical diagnosis 7 , the reverse engineering 8 , etc.…”

Section: Introductionmentioning

confidence: 99%

Profile measurement adopting binocular active vision with normalization object of vector orthogonality

Chen

et al. 2019

Sci Rep

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Active-vision-based measurement plays an important role in the profile inspection study. The binocular vision, a passive vision, is employed in the active vision system to contribute the benefits of them. The laser plane is calibrated by two 2D targets without texture initially. Then, an L target with feature points is designed to construct the orthogonality object of two vectors. In order to accurately model the binocular-active-vision system, the feature points on the L target are built by two cameras and parameterized by the laser plane. Different from the optimization methods on the basis of the distance object, the laser plane is further refined by the distance-angle object. Thus, an optimization function is created considering both the norms and angles of the vectors. However, the scale of the distance is diverse from the scale of the angle. Therefore, the optimization function is enhanced by the normalization process to balance the different scales. The comparison experiments show that the binocular active vision with the normalization object of vector orthogonality achieves the decreasing distance errors of 25%, 22%, 13% and 4%, as well as the decreasing angle errors of 23%, 20%, 14% and 4%, which indicates an accurate measurement to reconstruct the object profile.

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Section: Introductionmentioning

confidence: 99%

Profile measurement adopting binocular active vision with normalization object of vector orthogonality

Chen

et al. 2019

Sci Rep

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“…(4,5) Researchers have developed many approaches to obtain the coordinates of the laser plane. On the basis of the dimensions of the target used in the solution process, the solution methods in the active vision are approximately divided into 3D, 2D, and 1D target-based solution methods.…”

Section: Introductionmentioning

confidence: 99%

Optimization Solution of Laser Plane Generated from Maximum Likelihood Estimation of Projection Plane

2018

Sensors and Materials

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An enhanced solution method that based on the maximum likelihood estimation (MLE) of the projection plane is proposed. The method utilizes a 2D target and an optimization process to achieve a higher accuracy and noise immunity. The projection plane is parameterized by the laser plane coordinates. The maximum likelihood function is obtained from the stochastic vector of the projection planes in the camera coordinate system. The coordinates of the laser plane are achieved by the optimization process. The MLE method is compared with the original method. The experimental results reveal the relative error reductions of 18.97, 19.81, 21.22, and 21.60% under the test distances of 200, 300, 400, and 500 mm, respectively. Moreover, for the images under noise, the results show the relative error reductions of 20.06, 18.77, 19.64, and 20.35%, respectively. The experimental results suggest that the MLE of the projection plane would be useful to improve the measurement accuracy of active vision in both fundamental research and potential applications.

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Error analysis and correction for color in laser triangulation measurement

Jia

Mengwei

et al. 2018

Optik

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Three-dimensional image reconstruction of macroscopic objects from a single digital hologram using stereo disparity

Cited by 7 publications

References 19 publications

Profile measurement adopting binocular active vision with normalization object of vector orthogonality

Profile measurement adopting binocular active vision with normalization object of vector orthogonality

Optimization Solution of Laser Plane Generated from Maximum Likelihood Estimation of Projection Plane

Error analysis and correction for color in laser triangulation measurement

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