Calibration for stereo vision system based on phase matching and bundle adjustment algorithm

Zhao, Haitao; Wang, Zhen; Jiang, Hongzhi; Yang, Xu; Dong, Chao

doi:10.1016/j.optlaseng.2014.12.001

Cited by 51 publications

(17 citation statements)

References 21 publications

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“…Xiao et al [15] proposed a robust self-calibration 3D shape measurement method for use in fringe projection photogrammetry. Zhao et al [16] combined phase-based matching and the bundle adjustment to perform real-time calibration of in situ relative rigid motion between two cameras in accurate large-scale metrology. These studies generally required that the optical geometry was preliminarily calibrated for the following optimization computation, and this may restrict their applications in some cases when the preliminary calibration is inconvenient to perform.…”

Section: Introductionmentioning

confidence: 99%

“…To the best of our knowledge, this optimization technique is different from the existing methods [6,[13][14][15][16]. The method given in [6] presented an optimization model by minimizing the metric distance error between the reconstructed points through triangulation and the reference points.…”

Section: Introductionmentioning

confidence: 99%

“…In the proposed method, the measurement system can only observe the object from a single viewpoint. Although the optimization in [16] also allowed the system to observe the object from a single viewpoint, it required the intrinsic parameters to be accurately calibrated and kept fixed during the iterative computation.…”

Section: Introductionmentioning

confidence: 99%

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Pre-calibration-free 3D shape measurement method based on fringe projection

Zhong¹,

Li²,

Li³

et al. 2016

Opt. Express

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This paper presents a pre-calibration-free 3D shape measurement method based on fringe projection. Unlike ordinary methods, it performs calibration and 3D shape measurement concurrently. The captured phase-coded fringe images are utilized to obtain homogenous control points from two camera viewpoints, and the rough 3D structure of these points can be retrieved. Further, a constrained non-linear least-squares optimization model is established to determine the in situ geometry of the optical components, and then, the 3D scene is reconstructed. This method provides an accurate 3D shape measurement capability even during disturbance of the optical geometry. Moreover, not requiring a preliminary calibration process makes the system ultra-flexible. The performance of this method was verified by experiments.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Pre-calibration-free 3D shape measurement method based on fringe projection

Zhong¹,

Li²,

Li³

et al. 2016

Opt. Express

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show abstract

“…One method to acquire the full set of a stereo systems' parameters is depicted in detail in [15]. As the projector involved in this measurement setup is obviously unable to capture images for the determination of the projector matrix ′ P and the radial projector distortion coefficients d ′ , analogous to Eqs.…”

Section: Fringe Projection 3d Measurementmentioning

confidence: 99%

Rigid and flexible endoscopes for three dimensional measurement of inside machine parts using fringe projection

Posch

Schlobohm

Matthias

et al. 2017

Optics and Lasers in Engineering

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“…In actual use, to improve the precision of camera calibration, we need to consider the nonlinear model, that is the camera distortion [12], mainly including the radial distortion k1, k2, k3 and tangential distortion p1, p2. In order to prevent over-rectification, we can make k3=0, at this time only need to consider k1，k2.…”

Section: A Coordinate Transformation Monocular and Binocularmentioning

confidence: 99%

Distance Measurement of Underwater Target Based on Stereo Vision

Lin

Tang

2017

2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)

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An underwater object location method based on binocular stereo vision and artificial auxiliary interaction is proposed. Firstly, the calibration principle and basic model of binocular stereo vision are given, and the relationship between binocular disparity and depth is deduced in detail. Then, a special underwater camera (Nano SeaCam) is used, and we can calibrate the camera directly underwater. After that, the parameters of the camera are obtained to rectify the underwater images. Further, according to the characteristics of underwater ROV (Remote Operated Vehicle), we use the method of artificial interaction to select the corresponding pixels of left and right view images, and then use the distance measurement algorithm to calculate the target distance. The experimental results show that this method can achieve the proper effect of measuring distance underwater, and the accuracy can meet the practical requirements, which is feasible and efficient.

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Calibration for stereo vision system based on phase matching and bundle adjustment algorithm

Cited by 51 publications

References 21 publications

Pre-calibration-free 3D shape measurement method based on fringe projection

Pre-calibration-free 3D shape measurement method based on fringe projection

Rigid and flexible endoscopes for three dimensional measurement of inside machine parts using fringe projection

Distance Measurement of Underwater Target Based on Stereo Vision

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