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Relevant bibliographies by topics / Camera calibration

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Academic literature on the topic 'Camera calibration'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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Journal articles on the topic "Camera calibration"

1

Xia, Dan, De Hua Li, and Sheng Yong Xu. "Efficient and Accurate Camera Calibration Based on Planar Pattern." Advanced Materials Research 204-210 (February 2011): 1258–61. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.1258.

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We describe an effective method for calibrating cameras by using planar calibration patterns. The calibration pattern control points are localized by Harris detector incorporating the gradient histogram. The accuracy of the calibration control points location consequently improves the accuracy of the camera calibration. Additionally, optimization computation is carried out for increasing the accuracy of camera calibration results. Experiments using real images verified the effectiveness and robustness of the proposed method.

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Liu, Zhe, Zhaozong Meng, Nan Gao, and Zonghua Zhang. "Calibration of the Relative Orientation between Multiple Depth Cameras Based on a Three-Dimensional Target." Sensors 19, no. 13 (2019): 3008. http://dx.doi.org/10.3390/s19133008.

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Depth cameras play a vital role in three-dimensional (3D) shape reconstruction, machine vision, augmented/virtual reality and other visual information-related fields. However, a single depth camera cannot obtain complete information about an object by itself due to the limitation of the camera’s field of view. Multiple depth cameras can solve this problem by acquiring depth information from different viewpoints. In order to do so, they need to be calibrated to be able to accurately obtain the complete 3D information. However, traditional chessboard-based planar targets are not well suited for

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Ma, Zhenling, Xu Zhong, Hong Xie, Yongjun Zhou, Yuan Chen, and Jiali Wang. "A Combined Physical and Mathematical Calibration Method for Low-Cost Cameras in the Air and Underwater Environment." Sensors 23, no. 4 (2023): 2041. http://dx.doi.org/10.3390/s23042041.

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Low-cost camera calibration is vital in air and underwater photogrammetric applications. However, various lens distortions and the underwater environment influence are difficult to be covered by a universal distortion compensation model, and the residual distortions may still remain after conventional calibration. In this paper, we propose a combined physical and mathematical camera calibration method for low-cost cameras, which can adapt to both in-air and underwater environments. The commonly used physical distortion models are integrated to describe the image distortions. The combination is

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Krishnan, Aravindhan K., and Srikanth Saripalli. "Cross-Calibration of RGB and Thermal Cameras with a LIDAR for RGB-Depth-Thermal Mapping." Unmanned Systems 05, no. 02 (2017): 59–78. http://dx.doi.org/10.1142/s2301385017500054.

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We present a method for calibrating the extrinsic parameters between a RGB camera, a thermal camera, and a LIDAR. The calibration procedure we use is common to both the RGB and thermal cameras. The extrinsic calibration procedure assumes that the cameras are geometrically calibrated. To aid the geometric calibration of the thermal camera, we use a calibration target made of black-and-white melamine that looks like a checkerboard pattern in the thermal and RGB images. For the extrinsic calibration, we place a circular calibration target in the common field of view of the cameras and the LIDAR a

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Martínez, Álvaro, Antonio Santo, Monica Ballesta, Arturo Gil, and Luis Payá. "A Method for the Calibration of a LiDAR and Fisheye Camera System." Applied Sciences 15, no. 4 (2025): 2044. https://doi.org/10.3390/app15042044.

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LiDAR and camera systems are frequently used together to gain a more complete understanding of the environment in different fields, such as mobile robotics, autonomous driving, or intelligent surveillance. Accurately calibrating the extrinsic parameters is crucial for the accurate fusion of the data captured by both systems, which is equivalent to finding the transformation between the reference systems of both sensors. Traditional calibration methods for LiDAR and camera systems are developed for pinhole cameras and are not directly applicable to fisheye cameras. This work proposes a target-b

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Varnam, Matthew, Mike Burton, Ben Esse, Giuseppe Salerno, Ryunosuke Kazahaya, and Martha Ibarra. "Two Independent Light Dilution Corrections for the SO2 Camera Retrieve Comparable Emission Rates at Masaya Volcano, Nicaragua." Remote Sensing 13, no. 5 (2021): 935. http://dx.doi.org/10.3390/rs13050935.

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SO2 cameras are able to measure rapid changes in volcanic emission rate but require accurate calibrations and corrections to convert optical depth images into slant column densities. We conducted a test at Masaya volcano of two SO2 camera calibration approaches, calibration cells and co-located spectrometer, and corrected both calibrations for light dilution, a process caused by light scattering between the plume and camera. We demonstrate an advancement on the image-based correction that allows the retrieval of the scattering efficiency across a 2D area of an SO2 camera image. When appropriat

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Pak, Alexey, Steffen Reichel, and Jan Burke. "Machine-Learning-Inspired Workflow for Camera Calibration." Sensors 22, no. 18 (2022): 6804. http://dx.doi.org/10.3390/s22186804.

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The performance of modern digital cameras approaches physical limits and enables high-precision measurements in optical metrology and in computer vision. All camera-assisted geometrical measurements are fundamentally limited by the quality of camera calibration. Unfortunately, this procedure is often effectively considered a nuisance: calibration data are collected in a non-systematic way and lack quality specifications; imaging models are selected in an ad hoc fashion without proper justification; and calibration results are evaluated, interpreted, and reported inconsistently. We outline an (

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Huai, Jianzhu, Yuxin Shao, Grzegorz Jozkow, et al. "Geometric Wide-Angle Camera Calibration: A Review and Comparative Study." Sensors 24, no. 20 (2024): 6595. http://dx.doi.org/10.3390/s24206595.

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Wide-angle cameras are widely used in photogrammetry and autonomous systems which rely on the accurate metric measurements derived from images. To find the geometric relationship between incoming rays and image pixels, geometric camera calibration (GCC) has been actively developed. Aiming to provide practical calibration guidelines, this work surveys the existing GCC tools and evaluates the representative ones for wide-angle cameras. The survey covers the camera models, calibration targets, and algorithms used in these tools, highlighting their properties and the trends in GCC development. The

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Kim, Jonguk, Hyansu Bae, and Suk Gyu Lee. "Image Distortion and Rectification Calibration Algorithms and Validation Technique for a Stereo Camera." Electronics 10, no. 3 (2021): 339. http://dx.doi.org/10.3390/electronics10030339.

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This paper focuses on the calibration problem using stereo camera images. Currently, advanced vehicle systems such as smart cars and mobile robots require accurate and reliable vision in order to detect obstacles and special marks around. Such modern vehicles can be equipped with sensors and cameras together or separately. In this study, we propose new methodologies of stereo camera calibration based on the correction of distortion and image rectification. Once the calibration is complete, the validation of the corrections is presented followed by an evaluation of the calibration process. Usua

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Haugh, Michael J., Michael R. Charest, Patrick W. Ross, et al. "Calibration of X-ray imaging devices for accurate intensity measurement." Powder Diffraction 27, no. 2 (2012): 79–86. http://dx.doi.org/10.1017/s0885715612000413.

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National Security Technologies (NSTec) has developed calibration procedures for X-ray imaging systems. The X-ray sources that are used for calibration are both diode type and diode/fluorescer combinations. Calibrating the X-ray detectors is a key to accurate calibration of the X-ray sources. Both energy dispersive detectors and photodiodes measuring total flux were used. We have developed calibration techniques for the detectors using radioactive sources that are traceable to the National Institute of Standards and Technology (NIST). The German synchrotron at Physikalische Technische Bundestal

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Dissertations / Theses on the topic "Camera calibration"

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Zhang, Guoqiang. "Camera network calibration." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37011844.

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Zhang, Guoqiang, and 張國強. "Camera network calibration." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37011844.

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O'Kennedy, Brian James. "Stereo camera calibration." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/53063.

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Thesis (MScEng)--Stellenbosch University, 2002.<br>ENGLISH ABSTRACT: We present all the components needed for a fully-fledged stereo vision system, ranging from object detection through camera calibration to depth perception. We propose an efficient, automatic and practical method to calibrate cameras for use in 3D machine vision metrology. We develop an automated stereo calibration system that only requires a series of views of a manufactured calibration object in unknown positions. The system is tested against real and synthetic data, and we investigate the robustness of the proposed m

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Zhang, Hui. "Camera calibration from silhouettes." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37743752.

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Tang, Zhongwei. "High precision camera calibration." Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2011. http://tel.archives-ouvertes.fr/tel-00675484.

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The thesis focuses on precision aspects of 3D reconstruction with a particular emphasis on camera distortion correction. The causes of imprecisions in stereoscopy can be found at any step of the chain. The imprecision caused in a certain step will make useless the precision gained in the previous steps, then be propagated, amplified or mixed with errors in the following steps, finally leading to an imprecise 3D reconstruction. It seems impossible to directly improve the overall precision of a reconstruction chain leading to final imprecise 3D data. The appropriate approach to obtain a precise

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Zhang, Hui, and 張慧. "Camera calibration from silhouettes." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37743752.

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Frahm, Jan M. [Verfasser]. "Camera Self-Calibration with Known Camera Orientation / Jan M Frahm." Aachen : Shaker, 2005. http://d-nb.info/1186580186/34.

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de, Laval Astrid. "Online Calibration of Camera Roll Angle." Thesis, Linköpings universitet, Datorseende, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94219.

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Modern day cars are often equipped with a vision system that collects informa- tion about the car and its surroundings. Camera calibration is extremely impor- tant in order to maintain high accuracy in an automotive safety applications. The cameras are calibrated offline in the factory, however the mounting of the camera may change slowly over time. If the angles of the actual mounting of the cam- era are known compensation for the angles can be done in software. Therefore, online calibration is desirable. This master’s thesis describes how to dynamically calibrate the roll angle. Two differen

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Duan, Wenting. "Vanishing points detection and camera calibration." Thesis, University of Sheffield, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.548477.

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Peng, Zhan. "Direct camera calibration from 'Plane+Parallax'." Thesis, University of York, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.440975.

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Books on the topic "Camera calibration"

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Hanning, Tobias. High Precision Camera Calibration. Vieweg+Teubner, 2011. http://dx.doi.org/10.1007/978-3-8348-9830-2.

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Dawson, K. M. Simple pinhole camera calibration. Trinity College, Department of Computer Science, 1991.

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S, Roth Zvi, ed. Camera-aided robot calibration. CRC Press, 1996.

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T, Wang, and University of Surrey. Department of Electronic and Electrical Engineering. Centre for Vision Speech and Signal Processing., eds. Accurate camera calibration approach based on a sequence of images. Department of Electronic and Electrical Engineering, University of Surrey, 2000.

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HST Calibration Workshop (4th 2002 Baltimore, Md.). The 2002 HST calibration workshop: Hubble after the installation of the ACS and the NICMOS cooling system : proceedings of a workshop held at the Space Telescope Science Institute, Baltimore, Maryland, October 17 and 18, 2002. Published and distributed by the Space Telescope Science Institute, 2003.

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Gruen, Armin, and Thomas S. Huang, eds. Calibration and Orientation of Cameras in Computer Vision. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04567-1.

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Gruen, Armin. Calibration and Orientation of Cameras in Computer Vision. Springer Berlin Heidelberg, 2001.

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F, Atkinson Pamela, Hammond Ernest C, and Laboratory for Astronomy and Solar Physics (Goddard Space Flight Center), eds. The calibration of photographic and spectroscopic films: Semi-annual report, May 1, 1987 - October 30, 1987. The Laboratory, 1987.

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Charles, Wilson, and National Institute of Standards and Technology (U.S.), eds. Gray calibration of digital cameras to meet NIST mugshot best practice. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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10

Krotkov, Eric. Stereo ranging with verging cameras: A practical calibration procedure and error analysis. University of Pennsylvania, Dept. of Computer and Information Science, School of Engineering and Applied Science, 1986.

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Book chapters on the topic "Camera calibration"

1

Sandau, Rainer. "Calibration." In Digital Airborne Camera. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-8878-0_5.

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Godding, Robert. "Camera Calibration." In Handbook of Machine and Computer Vision. Wiley-VCH Verlag GmbH & Co. KGaA, 2017. http://dx.doi.org/10.1002/9783527413409.ch5.

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Zhang, Yu-Jin. "Camera Calibration." In 3-D Computer Vision. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7580-6_2.

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Fusiello, Andrea. "Camera Calibration." In Computer Vision: Three-dimensional Reconstruction Techniques. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34507-4_4.

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Zhang, Zhengyou. "Camera Calibration." In Computer Vision. Springer US, 2014. http://dx.doi.org/10.1007/978-0-387-31439-6_164.

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Zhang, Zhengyou. "Camera Calibration." In Computer Vision. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63416-2_164.

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Lavest, J. M., G. Rives, and J. T. Lapresté. "Underwater Camera Calibration." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45053-x_42.

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Hanning, Tobias. "Modelling the camera mapping." In High Precision Camera Calibration. Vieweg+Teubner, 2011. http://dx.doi.org/10.1007/978-3-8348-9830-2_2.

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Hanning, Tobias. "Non-standard camera models." In High Precision Camera Calibration. Vieweg+Teubner, 2011. http://dx.doi.org/10.1007/978-3-8348-9830-2_6.

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Hanning, Tobias. "Introduction." In High Precision Camera Calibration. Vieweg+Teubner, 2011. http://dx.doi.org/10.1007/978-3-8348-9830-2_1.

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Conference papers on the topic "Camera calibration"

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Jose R, Vilca Vargas, Quio Añauro Paúl A, and Loaiza Fernández Manuel E. "Monocular Camera Calibration using Projective Invariants." In 9th International Conference on Artificial Intelligence and Applications (AIAPP 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120921.

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Camera calibration is a crucial step to improve the accuracy of the images captured by optical devices. In this paper, we take advantage of projective geometry properties to select frames with quality control points in the data acquisition stage and, further on, perform an accurate camera calibration. The proposed method consists of four steps. Firstly, we select acceptable frames based on the position of the control points, later on we use projective invariants properties to find the optimal control points to perform an initial camera calibration using the camera calibration algorithm impleme

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Olczak, Paul, and Jack Tumblin. "Photometric camera calibration." In ACM SIGGRAPH 2014 Posters. ACM Press, 2014. http://dx.doi.org/10.1145/2614217.2614244.

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Batista, Jorge, Jorge Dias, Helder Araiijo, and A. Traqa-de-Almeida. "Monoplanar Camera Calibration." In British Machine Vision Conference 1993. British Machine Vision Association, 1993. http://dx.doi.org/10.5244/c.7.48.

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Li, Wei, and Julie Klein. "Multichannel camera calibration." In IS&T/SPIE Electronic Imaging, edited by Nitin Sampat and Sebastiano Battiato. SPIE, 2013. http://dx.doi.org/10.1117/12.2001658.

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Geyer, C., and K. Daniilidis. "Catadioptric camera calibration." In Proceedings of the Seventh IEEE International Conference on Computer Vision. IEEE, 1999. http://dx.doi.org/10.1109/iccv.1999.791248.

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Bushnevskiy, Andrey, Lorenzo Sorgi, and Bodo Rosenhahn. "Multimode camera calibration." In 2016 IEEE International Conference on Image Processing (ICIP). IEEE, 2016. http://dx.doi.org/10.1109/icip.2016.7532541.

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Butt, Talha Hanif, and Murtaza Taj. "Camera Calibration Through Camera Projection Loss." In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022. http://dx.doi.org/10.1109/icassp43922.2022.9746819.

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Vader, Anup M., Abhinav Chadda, Wenjuan Zhu, Ming C. Leu, Xiaoqing F. Liu, and Jonathan B. Vance. "An Integrated Calibration Technique for Multi-Camera Vision Systems." In ASME 2010 World Conference on Innovative Virtual Reality. ASMEDC, 2010. http://dx.doi.org/10.1115/winvr2010-3732.

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This paper presents the integration and evaluation of two popular camera calibration techniques for multi-camera vision system development for motion capture. An integrated calibration technique for multi-camera vision systems has been developed. To demonstrate and evaluate this calibration technique, multiple Wii Remotes (Wiimotes) from Nintendo were used to form a vision system to perform 3D motion capture in real time. This integrated technique is a two-step process: it first calibrates the intrinsic parameters of each camera using Zhang’s algorithm [5] and then calibrates the extrinsic par

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Sun, Caiyi, and Haibo Liu. "Camera calibration based on phase calibration targets." In Conference on Optical Sensing and Imaging Technology, edited by Dong Liu, Xiangang Luo, Yadong Jiang, and Jin Lu. SPIE, 2020. http://dx.doi.org/10.1117/12.2579646.

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Wang Qi, Fu Li, and Liu Zhenzhong. "Review on camera calibration." In 2010 Chinese Control and Decision Conference (CCDC). IEEE, 2010. http://dx.doi.org/10.1109/ccdc.2010.5498574.

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Reports on the topic "Camera calibration"

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Smith, Braden, Randolph Brost, and Benjamin Bean. OpenCSP Camera Calibration. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2463025.

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Tsai, T. Camera calibration for a manufacturing inspection workstation. National Institute of Standards and Technology, 2005. http://dx.doi.org/10.6028/nist.ir.7197.

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Young, G. S., T. H. Hong, M. Herman, and J. C. S. Yang. Kinematic calibration of an active camera system. National Institute of Standards and Technology, 1991. http://dx.doi.org/10.6028/nist.ir.4715.

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Fung, Nicholas, and Philip David. Implementation of Efficient Pan-Tilt-Zoom Camera Calibration. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada497476.

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Lane, Brandon M., and Eric P. Whitenton. Calibration and Measurement Procedures for a High Magnification Thermal Camera. National Institute of Standards and Technology, 2016. http://dx.doi.org/10.6028/nist.ir.8098.

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Rest, Armin. Calibration of a CCD Camera and Correction of its Images. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.7062.

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Oberle, William F. Stereo Camera Re-Calibration and the Impact of Pixel Location Uncertainty. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada415369.

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Pardini, A. F. Calibration grooming and alignment for LDUA High Resolution Stereoscopic Video Camera System (HRSVS). Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/10154319.

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Oberle, William F. The Effect of Variability in Stereo Camera Calibration and Registration Parameters on Three-Dimensional Reconstruction Distance Estimates. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada421239.

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Anderson, Gerald L., and Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7585193.bard.

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This research report describes a methodology whereby multi-spectral and hyperspectral imagery from remote sensing, is used for deriving predicted field maps of selected plant growth attributes which are required for precision cropping. A major task in precision cropping is to establish areas of the field that differ from the rest of the field and share a common characteristic. Yield distribution f maps can be prepared by yield monitors, which are available for some harvester types. Other field attributes of interest in precision cropping, e.g. soil properties, leaf Nitrate, biomass etc. are ob

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