Article
Optics
Ning Guo, Qinkun Zhao, Hongwei Fan, Haoming Yu, Xianwei Cui, Ming Lv, Tongtong Li
Summary: This paper establishes a binocular stereo vision system to achieve high-precision three-dimensional measurement, utilizing techniques such as grayscale processing, integral image, and FAST algorithm. The high-precision camera calibration is improved by direct calculation and grating conversion calibration.
Article
Optics
Haidong Zhang, Junzhou Huo, Fan Yang, Jialin Han, Doudou Guo
Summary: Vision measurement is crucial in construction scenarios, and the accuracy of binocular camera calibration directly affects its precision. This study presents a flexible binocular camera calibration method using state transformation to address the challenge of conveniently calibrating a large-range binocular vision system in harsh construction environments. The proposed method achieves mapping between pixel coordinates and world coordinates and divides the calibration process into two stages. Simulation and experiments show that the method has low reprojection error and relative measurement error, demonstrating good robustness for complex engineering sites.
OPTICS AND LASER TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Xiao Li, Wei Li, Xiaokang Yin, Xin Ma, Xin'an Yuan, Jianming Zhao
Summary: The study introduces a method that utilizes CMBV for both kinematic calibration and path error measurement of industrial robots. The results show that the proposed vision system is accurate enough to assess robot performance.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Optics
Jianyu Dou, Chong Pan, Jianhua Liu
Summary: The present study investigates the robustness of a neural network-based camera calibration method for 3D spatial positioning via machine vision. A dimensionless error attenuation coefficient is proposed to measure the robustness of the calibration model, showing that the neural network model outperforms traditional models in terms of robustness. The neural network model significantly improves the robustness and accuracy of 3D spatial positioning in asymmetric camera layouts and multiple camera joint calibration scenarios.
Article
Engineering, Manufacturing
Han Gao, Fei Shen, Feng Zhang, Zhengtao Zhang
Summary: This study proposes a high precision and fast alignment method based on binocular vision, which allows for accurate alignment of the workpiece in one operation without the need for a standard calibration board. By using the proposed calibration and feature point detection methods, the position and pose of the workpiece are obtained, and alignment commands are calculated for precise alignment.
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING
(2022)
Article
Environmental Sciences
Wanyi Xie, Yiren Wang, Yingwei Xia, Zhenyu Gao, Dong Liu
Summary: This study proposed a simple and convenient angular calibration method for wide field-of-view visible and infrared binocular cameras, utilizing the relation between the angular information of direct sun lights and the projected sun pixel coordinates to compute the geometric imaging parameters of the two cameras. The effectiveness and accuracy of the proposed calibration method were demonstrated through error estimation, leading to successful pixel-level registration of visible and infrared binocular images.
Article
Optics
Junfeng Chen, Jingjing Bai, Yunpeng Cheng, Yunpeng Ma, Qingwu Li
Summary: In this study, a novel LiDAR-assisted accuracy improvement strategy for binocular visual measurement is proposed. Calibration between LiDAR and binocular camera is achieved by aligning 3D points cloud and 2D images using the Perspective-n-Point (PNP) algorithm. A nonlinear optimization function and depth-optimization strategy are established to reduce the error of binocular depth. Experimental results demonstrate that our strategy can improve the depth accuracy of binocular visual measurement compared to three stereo matching methods, with the mean error decreasing from 33.46% to 1.70% at different distances.
Article
Materials Science, Multidisciplinary
Y. Liu, Z. Lv, Q. Zhang, J. Zhao, Z. Fang, Z. Gao, Y. Su
Summary: This study introduces several camera calibration methods that can achieve high measurement accuracy even with low-precision calibration boards. Experimental results show that the fixing 3-points method can restore the calibration board more accurately and improve reproducibility and measurement accuracy.
EXPERIMENTAL MECHANICS
(2023)
Article
Optics
Yulong Yin, Huabing Zhu, Pei Yang, Zhaohui Yang, Kai Liu, Hongwei Fu
Summary: This paper proposes a high-precision and robust binocular camera calibration method based on a coding target. The method improves the stability and robustness of calibration results by designing a coding target with simple patterns and using a rapid, robust, and accurate decoding algorithm. Additionally, the introduction of zenith and azimuth angles enhances the robustness of the calibration. Furthermore, a multi-constraint optimization method is proposed to refine the parameters of the binocular camera and improve the accuracy of calibration. Experimental results confirm the effectiveness of the proposed method.
Article
Engineering, Electrical & Electronic
Yung-Yao Chen, Sin-Ye Jhong, You-Jyun Lo
Summary: Multispectral object detection using visible-thermal vision sensors is crucial for intelligent vehicles. This paper proposes a novel multispectral object detection system, RA-FMDet, which addresses the challenges of fusing and complementing multispectral information. Experimental results demonstrate that RA-FMDet outperforms state-of-the-art models in object detection.
IEEE SENSORS JOURNAL
(2023)
Article
Chemistry, Analytical
Dabao Lao, Yukai Wang, Fang Wang, Chao Gao
Summary: This study presents a calibration method for laser 3D projection systems based on binocular vision, which is proven to be simple, efficient, and accurate.
Article
Chemistry, Analytical
Leifeng Zhang, Changle Li, Yilun Fan, Xuehe Zhang, Jie Zhao
Summary: This paper introduces a TCP calibration method that is more suitable for physicians by using a special binocular vision system and vision-based algorithm to identify TCPP and TCPF simultaneously, enhancing accuracy and stability while reducing time consumption.
Article
Engineering, Multidisciplinary
Desmond K. Moru, Diego Borro
Summary: This study examines the impact of industrial vision on improving data quality and accuracy in industrial systems, with a focus on the role of four calibration parameters in the camera calibration process. A statistical analysis was conducted to assess accuracy, revealing that the choice of calibration parameters is crucial in improving measurement accuracy.
Article
Engineering, Electrical & Electronic
Wei-ting Zhang, Wen-cheng Ye, Xing Chen, Zhen-hua Ye
Summary: This study experimentally investigated the effects of applied stresses with different properties and magnitudes on the spectrum changes of HgCdTe infrared detectors. The results showed that compressive stress shifted the cutoff wavelength to the left and restored it when the degree of compressive stress increased, while tensile stress produced the opposite result.
OPTICAL AND QUANTUM ELECTRONICS
(2022)
Article
Automation & Control Systems
Ming Yang, Wenfeng Liu, Zhihua Liu, Chenguang Cai, Ying Wang, Jing Yang
Summary: In this study, a binocular vision-based method is investigated for measuring the static and dynamic parameters of a long-stroke shaker during vibration calibration. The method accurately measures the shaker's bending by measuring inclinations at different positions of its guideway. It also obtains measurements of amplitude characteristic, distortion, repeatability, and transverse ratio by accurately acquiring spatial displacements at different frequencies. Comparison experiments demonstrate that the method achieves satisfactory accuracies for the static and dynamic parameters.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)