Precise perimeter measurement for 3D object with a binocular stereo vision measurement system

Zhao, Peng; Wang, Nihong

doi:10.1016/j.ijleo.2008.12.008

Cited by 30 publications

(15 citation statements)

References 6 publications

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“…The coordinate (x 2 , y 2 ) of the point C in the world coordinate system is obtained from Eq. (14). The feature point D is captured by the binocular system on the diagonal position.…”

Section: Three-dof Calibration Modelmentioning

confidence: 99%

“…System calibration is the basis for binocular vision to obtain 3D coordinates. It provides the conversion relationship between the 2D coordinates of the images of the cameras and the 3D coordinates of the objects [3,14,15]. As the measurement accuracy of the binocular vision system depends on the camera calibration, the research on the camera calibration method has much theoretical importance and practical value.…”

Section: Introductionmentioning

confidence: 99%

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Three Degrees of Freedom Global Calibration Method for Measurement Systems with Binocular Vision

Zhang

et al. 2016

Journal of the Optical Society of Korea

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We develop a new method to globally calibrate the feature points that are derived from the binocular systems at different positions. A three-DOF (degree of freedom) global calibration system is established to move and rotate the 3D calibration board to an arbitrary position. A three-DOF global calibration model is constructed for the binocular systems at different positions. The three-DOF calibration model unifies the 3D coordinates of the feature points from different binocular systems into a unique world coordinate system that is determined by the initial position of the calibration board. Experiments are conducted on the binocular systems at the coaxial and diagonal positions. The experimental root-mean-square errors between the true and reconstructed 3D coordinates of the feature points are 0.573 mm, 0.520 mm and 0.528 mm at the coaxial positions. The experimental root-mean-square errors between the true and reconstructed 3D coordinates of the feature points are 0.495 mm, 0.556 mm and 0.627 mm at the diagonal positions. This method provides a global and accurate calibration to unity the measurement points of different binocular vision systems into the same world coordinate system.

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“…The coordinate (x 2 , y 2 ) of the point C in the world coordinate system is obtained from Eq. (14). The feature point D is captured by the binocular system on the diagonal position.…”

Section: Three-dof Calibration Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Three Degrees of Freedom Global Calibration Method for Measurement Systems with Binocular Vision

Zhang

et al. 2016

Journal of the Optical Society of Korea

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show abstract

“…In this paper, the pinhole for the cameras is adopted. It means that the projection of the 3D scene onto 2D images is described by a full perspective projection, and then the spatial information can be calculated by triangulation method [10].…”

Section: Stereo Matching Algorithmmentioning

confidence: 99%

Stereo Matching Based on Immune Neural Network in Abdomen Reconstruction

Liu

Hao

Ouyang

2015

Mathematical Problems in Engineering

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Stereo feature matching is a technique that finds an optimal match in two images from the same entity in the three-dimensional world. The stereo correspondence problem is formulated as an optimization task where an energy function, which represents the constraints on the solution, is to be minimized. A novel intelligent biological network (Bio-Net), which involves the human B-T cells immune system into neural network, is proposed in this study in order to learn the robust relationship between the input feature points and the output matched points. A model from input-output data (left reference point-right target point) is established. In the experiments, the abdomen reconstructions for different-shape mannequins are then performed by means of the proposed method. The final results are compared and analyzed, which demonstrate that the proposed approach greatly outperforms the single neural network and the conventional matching algorithm in precise. Particularly, as far as time cost and efficiency, the proposed method exhibits its significant promising and potential for improvement. Hence, it is entirely considered as an effective and feasible alternative option for stereo matching.

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“…Owing to the different viewing angles of the two cameras and the existence of spiral groove, the center line of a weld stud obtained by binocular stereo vision measurement [10][11][12] does not match the actual center line, which lead to large errors in weld stud pose measurement. In addition, the two cameras are both strabismus relative to the measured weld stud, and therefore, the stud pillar blocks a part of the round bottom surface when capturing images (as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Monocular-vision-based method for online measurement of pose parameters of weld stud

Zhang

Xue

2015

Measurement

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Precise perimeter measurement for 3D object with a binocular stereo vision measurement system

Cited by 30 publications

References 6 publications

Three Degrees of Freedom Global Calibration Method for Measurement Systems with Binocular Vision

Three Degrees of Freedom Global Calibration Method for Measurement Systems with Binocular Vision

Stereo Matching Based on Immune Neural Network in Abdomen Reconstruction

Monocular-vision-based method for online measurement of pose parameters of weld stud

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