Article
Chemistry, Analytical
Sukwoo Jung, Youn-Sung Lee, Yunju Lee, KyungTaek Lee
Summary: This article introduces a method of using stereo cameras and ToF sensors to improve the accuracy of 3D information in depth sensing. By employing multi-camera calibration, depth map fusion, hole-filling, and surface reconstruction, the transformation from sensor data to point cloud and mesh data is achieved.
Article
Chemistry, Analytical
Jaeho Lee, Hyunsoo Shin, Sungon Lee
Summary: A 3D scanning system was developed with a rotating line laser and wide-angle camera for large-area reconstruction. The study proposed a calibration method to estimate the geometrical relationship between the line laser's rotation axis and the camera, resulting in a higher precision and better scanning quality compared to a commercial depth camera for plane reconstruction.
Article
Computer Science, Artificial Intelligence
Jiayin Deng, Zhiqun Hu, Zhaoming Lu, Xiangming Wen
Summary: This paper proposes an automatic method for calibrating the relative positional posture of roadside integrated radar camera fusion sensors. The method leverages the radar camera fusion framework to automatically reconstruct the road plane, resulting in automatic and accurate calibration of extrinsic parameters.
PATTERN RECOGNITION LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Yanyan Guo, Xiangqian Che, Xiangli Meng, Li Bian
Summary: Currently, there are few universal sensors that can accurately and effectively handle complex surface inspection tasks. The prevailing solution is to integrate multiple sensors and utilize their strengths. This paper proposes an optimal extrinsic calibration method for a structured light sensor (SLS) and conoscopic holography sensor (CHS). The method utilizes a common planar calibration board and solves the calibration problem through three-dimensional reconstruction and geometric constraints. Physical experiments demonstrate the robustness and accuracy of this method in calibrating multiple inhomogeneous optical sensors for complex surface measurement.
JOURNAL OF SENSORS
(2022)
Article
Engineering, Electrical & Electronic
Yuqi Ding, Zhang Chen, Yu Ji, Jingyi Yu, Jinwei Ye
Summary: This paper presents a light field-based approach for high-quality 3D reconstruction of underwater scenes from a single viewpoint. The method utilizes angular resampling of light field images and employs a fast approximation algorithm to handle non-linear refraction. Experimental results demonstrate that the proposed method achieves state-of-the-art reconstruction on both synthetic and real data.
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING
(2023)
Article
Optics
Zhongyuan Xia, Renbo Xia, Jibin Zhao
Summary: The traditional method of calibrating binocular visual systems has poor accuracy in the depth direction. In this study, a three-dimensional spatial distortion model (3DSDM) based on the 3D Lagrange difference was proposed to minimize 3D space distortion and expand the high-accuracy field of view (FOV) of the binocular visual system. Additionally, a global binocular visual model (GBVM) that includes the 3DSDM and a binocular visual system was introduced. The calibration and 3D reconstruction methods of the GBVM were based on the Levenberg-Marquardt algorithm. The experiments confirmed that our proposed method improved the calibration accuracy of the binocular visual system compared to traditional methods. Our GBVM exhibited lower reprojection error, higher accuracy, and a larger working field.
Article
Chemistry, Analytical
Hugo Alvarez, Marcos Alonso, Jairo R. Sanchez, Alberto Izaguirre
Summary: This paper presents a method for calibrating multi-camera and multi-laser 3D triangulation systems, utilizing a conical calibration object and stepped line patterns for calculating camera-laser homographies. The experiments demonstrate a precision of 0.1 mm for the proposed system, showing its effectiveness in calibrating scanners for revolving surfaces.
Article
Engineering, Multidisciplinary
Yousfi Jezia, Lahouar Samir, Ben Amara Abdelmajid
Summary: This paper studies 3D object reconstruction based on a set of 2D images and focuses on the camera path strategy to increase accuracy. Euclidean 3D image-based reconstruction is divided into three steps: primitive extraction, correspondence, and triangulation. The matching step may have precision issues, especially with noisy images. An experimental study is conducted to compare reconstruction results with robot motion values and analyze the impact of camera motion on reconstruction accuracy.
INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION
(2023)
Article
Engineering, Electrical & Electronic
Igor Fedorov, Benny Thornberg, Hiba Alqaysi, Najeem Lawal, Mattias O'Nils
Summary: The method combines multiple artificial reference markers and a 3-D reconstruction method to enable precise volumetric surveillance of fast-flying objects. It utilizes two multicamera stereo nodes with acute angles to provide greater coverage and determine flight characteristics in 3-D. The proposed method is suitable for situations where high spatial resolution monitoring is needed for counting, tracking, and analyzing flying objects, particularly birds.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Chemistry, Analytical
Zidong Han, Liyan Zhang
Summary: This paper introduces a novel visual 3D reconstruction system, consisting of a two-axis galvanometer scanner, a camera with a lens, and a set of control units. By adjusting the mirror angles of the galvanometer scanner, the camera's boresight can be quickly adjusted, allowing it to function as a virtual multi-ocular system (VMOS) capturing the object from different perspectives. The paper presents a working mechanism with a clear physical meaning and a simple and efficient method for calibrating the intrinsic and extrinsic parameters of the VMOS. The proposed system is shown to achieve competitive 3D reconstruction performance with a more concise hardware configuration compared to a conventional stereovision system.
Article
Optics
Renhu Liu, Jinling Wu, Seng Zhou, Benli Yu, Lei Zhang
Summary: In the adaptive freeform surface interferometer, an intelligent approach composed of deep learning and ray tracing technology is proposed to recover sparse fringes from incomplete interferograms without iterations. The method has a short time cost and a low failure rate. It also does not require manual intervention of internal parameters, making it easy to perform. The feasibility of the proposed method is validated through experiments, and it is believed to have promising applications in the future.
Article
Engineering, Electrical & Electronic
Andrea Cavagna, Xiao Feng, Stefania Melillo, Leonardo Parisi, Lorena Postiglione, Pablo Villegas
Summary: The article introduces a comoving camera system CoMo, consisting of two synchronized cameras and rotational stages, which allows for dynamic tracking of target flock motion. The system addresses calibration of external parameters, measures 3D distances, and achieves a relative error of approximately 1% in 3D tests. The novel approach used in the tests is also highlighted as a powerful tool for detecting and fixing calibration inaccuracies.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Optics
Liuning Gu, Wenwu Chen, Xiaohan Hu, Zixiang Tong, Xinxing Shao
Summary: In this study, a binocular camera refractive imaging model was established and a calibration method for the refraction parameters was proposed for accurate three-dimensional visual measurements in deep-water environments. The results of underwater experiments showed the effectiveness of the method.
Article
Chemistry, Analytical
Aleksandra Jasinska, Krystian Pyka, Elzbieta Pastucha, Henrik Skov Midtiby
Summary: Recently, the term smartphone photogrammetry gained popularity. The research aimed to determine the suitability of using the SfM-MVS method with self-calibration in smartphone photogrammetry. The study involved testing the geometric stability of smartphone cameras and developing 3D models using images from selected smartphones. The results showed that introducing calibration values obtained in a test field improved the geometry of the 3D models compared to self-calibration.
Article
Chemistry, Analytical
Zhenghai Lu, Yaowen Lv, Zhiqing Ai, Ke Suo, Xuanrui Gong, Yuxuan Wang
Summary: This paper presents a 3D reconstruction system based on a catadioptric camera and a projector, which addresses the problem of limited field of vision. The system employs a traditional camera to calibrate the catadioptric camera and projector, and achieves accurate geometric reconstruction with a small reconstruction error and relative error.