Analysis on Structural Parameters of Binocular Stereo Vision System

Li, Ping; Wang, Yan Wen

doi:10.4028/www.scientific.net/amm.437.290

Cited by 6 publications

(4 citation statements)

References 2 publications

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“…Based on synthesis and distribution of errors [12] , system reconstruction error Δ can be expressed by calibration errors…”

Section: B Experiments Of Error Analysismentioning

confidence: 99%

Error analysis of calibration parameters estimation for binocular stereo vision system

Zhao

et al. 2013

2013 IEEE International Conference on Imaging Systems and Techniques (IST)

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Currently the research in binocular stereo vision area mainly focuses on camera calibration and stereo matching. For camera calibration, to estimate the camera's parameters is of vital very importance for acquiring better three-dimensional positioning reconstruction accuracy. This research investigates camera calibration parameters for a binocular stereo vision system and their effects on system reconstruction accuracy. Three different types of parameters and their effects on system reconstruction accuracy are probed with a semi-physical simulation. Firstly, a mathematic model is established and the major sources of parameter errors are analyzed for measuring system. Secondly, a semi-physical simulation system is developed to analyze the effects of parameter errors on the system reconstruction accuracy in the binocular stereo vision system. The binocular stereo vision system is treated as a black box. Three types of parameter errors (i.e., errors of the distortion parameter, camera internal and external parameters) are selected as input variables of the black box, and corresponding system reconstruction errors are regarded as output variables. The effects on the system reconstruction accuracy are analyzed using results of simulation. Finally, correlations between each of the three parameter errors and the system reconstruction error are analyzed, and influence on accuracy of the system is given. The results show that distortion parameter error has a minimal impact on system reconstruction accuracy and belongs to secondary factor. The impact of internal parameter error on system reconstruction accuracy is slightly larger, and correlation of them is linear. The external parameter error directly determines system reconstruction accuracy by affecting baseline distance and the angle between cameras. Keywords-binocular stereo vision; camera calibration; parameter error; simulation analysisI.is the image plane

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“…Based on synthesis and distribution of errors [12] , system reconstruction error Δ can be expressed by calibration errors…”

Section: B Experiments Of Error Analysismentioning

confidence: 99%

Error analysis of calibration parameters estimation for binocular stereo vision system

Zhao

et al. 2013

2013 IEEE International Conference on Imaging Systems and Techniques (IST)

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“…However, in some application scenarios, not only the main indicators of visual technology—such as field of view (FOV) and accuracy—but also resolution must be considered. Gong et al [ 26 ] and Li et al [ 27 ] analyzed the effects of individual structural parameters of a visual system on its resolution; however, they did not disclose a method to overcome the inherent resolution limitations of the visual system. Under normal circumstances, when the test distance exceeds 2.5 m and the FOV exceeds 1.5 m × 1.5 m, the resolution of the conventional vision system is typically tens or hundreds of microns.…”

Section: Introductionmentioning

confidence: 99%

A New Vision Measurement Technique with Large Field of View and High Resolution

Liu

You

et al. 2023

Sensors

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The three-dimensional (3D) displacement resolution of conventional visual measurement systems can only reach tens of microns in cases involving long measuring distances (2.5 m) and large fields of view (1.5 m × 1.5 m). Therefore, a stereo vision measurement technology based on confocal scanning is proposed herein. This technology combines macroscopic visual measurement technology with confocal microscopic measurement technology to achieve a long measuring distance, a large field of view, and micron-level measuring resolution. First, we analyzed the factors affecting the 3D resolution of the visual system and developed a 3D resolution model of the visual system. Subsequently, we fabricated a prototype based on the resolution model and the proposed stereo vision measurement technology. The 3D displacement resolution measurement results in the full field of view show that the displacement resolutions of the developed equipment in the x-, y-, and z-directions can reach 2.5, 2.5, and 6 μm, respectively.

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“…Ehrhardt et al (2013) revealed that the accuracy of photogrammetry largely depends on the parameters of the photographic system, including camera angle, shutter speed, the amplitude of measured displacement, and so forth. Li and Wang (2013) discussed the influences of the baseline distance, optical axis, baseline angle, projection angle on the measurement accuracy in detail. Guo et al (2006) carried out the parameter optimization for a binocular visual measurement system, which measures the attitude of a parallel mechanism motion platform.…”

Section: Introductionmentioning

confidence: 99%

Configuration optimization of photogrammetry system based on spectral radius for on-orbit measurement

Wang

Pan²,

et al. 2021

Transactions of the Institute of Measurement and Control

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Non-contact optical measurement is a potential approach to on-orbit vibration measurement for flexible appendages, providing dynamic information for spacecraft control system. Binocular photogrammetry system is a practical configuration to achieve this measurement. In this paper, optimization approach and strategy for configuration parameters of this system are raised. Measurement matrix is specially defined to obtain the objective function for the optimization. Successive linear programming algorithm is used for optimization iteration. Transient responses of flexible appendages calculated by finite element model and corresponding images generated by OpenGL help to achieve this simulation-based optimization. The feasibility and effectiveness of the optimization are verified both by numerical study and experiment. Error analysis of the optimal system reveals great improvement in accuracy and robustness after optimization. This optimization is a promising approach to designing the configuration of binocular photogrammetry system and helping to achieve reliable on-orbit dynamic measurement results.

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Analysis on Structural Parameters of Binocular Stereo Vision System

Cited by 6 publications

References 2 publications

Error analysis of calibration parameters estimation for binocular stereo vision system

Error analysis of calibration parameters estimation for binocular stereo vision system

A New Vision Measurement Technique with Large Field of View and High Resolution

Configuration optimization of photogrammetry system based on spectral radius for on-orbit measurement

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