Cited by 15,004Optical measurement and interference techniquesAdvanced Vision and ImagingImage and Object Detection Techniques

The DOI matches its Crossref record; 29 of the 30 references it cites were found in a registry or an index.

A flexible new technique for camera calibration

Zhang, Z.·2000·IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI 10.1109/34.888718

Open this paper in CoChat — free account

Abstract

We propose a flexible technique to easily calibrate a camera. It only requires the camera to observe a planar pattern shown at a few (at least two) different orientations. Either the camera or the planar pattern can be freely moved. The motion need not be known. Radial lens distortion is modeled. The proposed procedure consists of a closed-form solution, followed by a nonlinear refinement based on the maximum likelihood criterion. Both computer simulation and real data have been used to test the proposed technique and very good results have been obtained. Compared with classical techniques which use expensive equipment such as two or three orthogonal planes, the proposed technique is easy to use and flexible. It advances 3D computer vision one more step from laboratory environments to real world use.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1109/34.888718

Cites

29 of 29 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Matrix Computations
Golub, G. (2012) · doi:10.56021/9781421407944 · Cited by 34,505
A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses
Tsai, R. (1987) · IEEE Journal on Robotics and Automation · doi:10.1109/jra.1987.1087109 · Cited by 5,890
The Levenberg-Marquardt algorithm: Implementation and theory
Morè, J. J. (1978) · Lecture notes in mathematics · doi:10.1007/bfb0067700 · Cited by 5,796
Three-dimensional computer vision: a geometric viewpoint
(1994) · Choice Reviews Online · doi:10.5860/choice.32-0357 · Cited by 3,032
Camera calibration with distortion models and accuracy evaluation
Weng, J., Cohen, P. R., & Herniou, M. (1992) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.159901 · Cited by 1,767
Camera self-calibration: Theory and experiments
Faugeras, O. D., Luong, Q.-T., & Maybank, S. J. (1992) · Lecture notes in computer science · doi:10.1007/3-540-55426-2_37 · Cited by 957
Manual of photogrammetry
Slama, C. C., Theurer, C. B., & Henriksen, S. W. (1980) · American Society of Photogrammetry eBooks · Cited by 856
A theory of self-calibration of a moving camera
Maybank, S. J., & Faugeras, O. D. (1992) · International Journal of Computer Vision · doi:10.1007/bf00127171 · Cited by 831
Using vanishing points for camera calibration
Caprile, B., & Torre, V. (1990) · International Journal of Computer Vision · doi:10.1007/bf00127813 · Cited by 715
Algebraic Projective Geometry.
Atchison, W. F., Semple, J. G., & Kneebone, G. T. (1953) · American Mathematical Monthly · doi:10.2307/2307420 · Cited by 708

Show all 30 references

Research works printed but not linked: 2

brown, 1971, close-range camera calibration, Photogrammetric Eng, 37, 855
faugeras, 1986, the calibration problem for stereo, Proc IEEE Conf Computer Vision and Pattern Recognition, 15

Sorted by citations

Items 201–300 of 1,010

Deep-learning-enabled dual-frequency composite fringe projection profilometry for single-shot absolute 3D shape measurement
Li, Y., Qian, J., Feng, S., Chen, Q., & Zuo, C. (2022) · Opto-Electronic Advances · doi:10.29026/oea.2022.210021 · Cited by 149
A layered stereo matching algorithm using image segmentation and global visibility constraints
Bleyer, M., & Gelautz, M. (2005) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2005.02.008 · Cited by 147
An IMU/UWB/Vision-based Extended Kalman Filter for Mini-UAV Localization in Indoor Environment using 802.15.4a Wireless Sensor Network
Benini, A., Mancini, A., & Longhi, S. (2012) · Journal of Intelligent & Robotic Systems · doi:10.1007/s10846-012-9742-1 · Cited by 148
Camera pose and calibration from 4 or 5 known 3D points
Triggs, B. (1999) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.1999.791231 · Cited by 148
Digital Modeling of Material Appearance
(2008) · Elsevier eBooks · doi:10.1016/b978-0-12-221181-2.x5001-0 · Cited by 147
Mapping and localization from planar markers
Muñoz‐Salinas, R., Marín-Jiménez, M. J., Yeguas-Bolívar, E., & Medina-Carnicer, R. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2017.08.010 · Cited by 148
3D global mapping of large-scale unstructured orchard integrating eye-in-hand stereo vision and SLAM
Chen, M., Tang, Y., Zou, X., Huang, Z., Zhou, H., & Chen, S. (2021) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2021.106237 · Cited by 146
Least-squares calibration method for fringe projection profilometry considering camera lens distortion
Huang, L., Chua, P. S. K., & Asundi, A. (2010) · Applied Optics · doi:10.1364/ao.49.001539 · Cited by 146
Survey on optical camera communications: challenges and opportunities
Saha, N., Ifthekhar, M. S., Le, N. T., & Jang, Y. M. (2015) · IET Optoelectronics · doi:10.1049/iet-opt.2014.0151 · Cited by 146
Brain-Inspired Cognitive Model With Attention for Self-Driving Cars
Chen, S., Zhang, S., Shang, J., Chen, B., & Zheng, N. (2017) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2017.2717451 · Cited by 148
Vinobot and Vinoculer: Two Robotic Platforms for High-Throughput Field Phenotyping
Shafiekhani, A., Kadam, S., Fritschi, F., & DeSouza, G. N. (2017) · Sensors · doi:10.3390/s17010214 · Cited by 147
Augmented reality technology for preoperative planning and intraoperative navigation during hepatobiliary surgery: A review of current methods
Tang, R., Ma, L., Rong, Z., Li, M.-D., Zeng, J., Wang, X., Liao, H., & Dong, J. (2018) · Hepatobiliary & pancreatic diseases international · doi:10.1016/j.hbpd.2018.02.002 · Cited by 145
A Mask-Based Approach for the Geometric Calibration of Thermal-Infrared Cameras
Vidas, S., Lakemond, R., Denman, S., Fookes, C., Sridharan, S., & Wark, T. (2012) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2012.2182851 · Cited by 144
Preparation of silver, gold and silver–gold bimetallic nanoparticles in w/o microemulsion containing TritonX-100
Pal, A., Shah, S. S., & Devi, S. (2007) · Colloids and Surfaces A Physicochemical and Engineering Aspects · doi:10.1016/j.colsurfa.2007.03.032 · Cited by 144
Reliability Fusion of Time-of-Flight Depth and Stereo Geometry for High Quality Depth Maps
Zhu, J., Wang, L., Yang, R., Davis, J., & Pan, Z. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.172 · Cited by 143
Live Tracking and Dense Reconstruction for Handheld Monocular Endoscopy
Mahmoud, N., Collins, T., Hostettler, A., Soler, L., Doignon, C., & Montiel, J. M. M. (2018) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2018.2856109 · Cited by 147
Automated crack evaluation of a high‐rise bridge pier using a ring‐type climbing robot
Jang, K., An, Y., Kim, B., & Cho, S. (2020) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12550 · Cited by 144
Extrinsic Calibration of a 3D Laser Scanner and an Omnidirectional Camera
Pandey, G., McBride, J., Savarese, S., & Eustice, R. M. (2010) · IFAC Proceedings Volumes · doi:10.3182/20100906-3-it-2019.00059 · Cited by 143
Offshore stereo measurements of gravity waves
Benetazzo, A., Fedele, F., Gallego, G., Shih, P.-C., & Yezzi, A. J. (2012) · Coastal Engineering · doi:10.1016/j.coastaleng.2012.01.007 · Cited by 143
An image recognition method for the deformation area of open-pit rock slopes under variable rainfall
Li, Q., Song, D., Yuan, C., & Nie, W. (2021) · Measurement · doi:10.1016/j.measurement.2021.110544 · Cited by 142
A real-time interactive multi-view video system
Lou, J., Cai, H., & Jiang, L. (2005) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1101149.1101173 · Cited by 142
Marker-free monitoring of the grandstand structures and modal identification using computer vision methods
Dong, C., Celik, O. C., & Çatbaş, F. N. (2018) · Structural Health Monitoring · doi:10.1177/1475921718806895 · Cited by 143
Detection of Fruit-Bearing Branches and Localization of Litchi Clusters for Vision-Based Harvesting Robots
Li, J., Tang, Y., Zou, X., Lin, G., & Wang, H. (2020) · IEEE Access · doi:10.1109/access.2020.3005386 · Cited by 141
Robot for automatic waste sorting on construction sites
Chen, X., Huang, H., Liu, Y., Li, J., & Liu, M. (2022) · Automation in Construction · doi:10.1016/j.autcon.2022.104387 · Cited by 141
Scene reconstruction and visualization from internet photo collections
Seitz, S. M., Szeliski, R., & Snavely, K. N. (2008) · Cited by 139
A visually guided swimming robot
Dudek, G., Jenkin, M. R. M., Prahacs, C., Hogue, A., Sattar, J., Giguère, P., German, A., Liu, H., Saunderson, S., Ripsman, A., et al. (2005) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2005.1545231 · Cited by 140
A multiple-camera system calibration toolbox using a feature descriptor-based calibration pattern
Li, B., Heng, L., Köser, K., & Pollefeys, M. (2013) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2013.6696517 · Cited by 140
Real-Time Detection and Spatial Localization of Insulators for UAV Inspection Based on Binocular Stereo Vision
Ma, Y., Li, Q., Chu, L., Zhou, Y., & Xu, C. X. (2021) · Remote Sensing · doi:10.3390/rs13020230 · Cited by 140
Self-Calibration of Rotating and Zooming Cameras
Agapito, L., Hayman, E., & Reid, I. D. (2001) · International Journal of Computer Vision · doi:10.1023/a:1012471930694 · Cited by 140
An Accurate and Robust Strip-Edge-Based Structured Light Means for Shiny Surface Micromeasurement in 3-D
Song, Z. P., Chung, R. H. Y., & Zhang, X. (2012) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2012.2188875 · Cited by 139
AUV homing and docking for remote operations
Palomeras, N., Vallicrosa, G., Mallios, A., Bosch, J., Vidal, E., Hurtós, N., Carreras, M., & Ridao, P. (2018) · Ocean Engineering · doi:10.1016/j.oceaneng.2018.01.114 · Cited by 139
A Review of Mobile Mapping Systems: From Sensors to Applications
Elhashash, M., Albanwan, H., & Qin, R. (2022) · Sensors · doi:10.3390/s22114262 · Cited by 148
3D Reconstruction from Multiple Images Part 1: Principles
Moons, T., Gool, L. V., & Vergauwen, M. (2010) · Foundations and Trends® in Computer Graphics and Vision · doi:10.1561/0600000007 · Cited by 138
Vision-Based Parking-Slot Detection: A DCNN-Based Approach and a Large-Scale Benchmark Dataset
Zhang, L., Huang, J., Li, X., & Xiong, L. (2018) · IEEE Transactions on Image Processing · doi:10.1109/tip.2018.2857407 · Cited by 147
Combining scene and auto-calibration constraints
Liebowitz, D., & Zisserman, A. (1999) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.1999.791233 · Cited by 138
Acquisition, Synthesis, and Rendering of Bidirectional Texture Functions
Müller, G., Meseth, J., Sattler, M., Sarlette, R., & Klein, R. (2005) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2005.00830.x · Cited by 138
Vision-based Navigation in Image-Guided Interventions
Mirota, D. J., Ishii, M., & Hager, G. D. (2011) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071910-124757 · Cited by 137
High-accuracy multi-camera reconstruction enhanced by adaptive point cloud correction algorithm
Chen, M., Tang, Y., Zou, X., Huang, K. Y., Li, L., & He, Y. (2019) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2019.06.011 · Cited by 137
High-speed three-dimensional shape measurement based on shifting Gray-code light
Wu, Z., Guo, W., & Zhang, Q. (2019) · Optics Express · doi:10.1364/oe.27.022631 · Cited by 137
A stereovision-based crack width detection approach for concrete surface assessment
Shan, B., Zheng, S., & Ou, J. (2015) · KSCE Journal of Civil Engineering · doi:10.1007/s12205-015-0461-6 · Cited by 136
A Precision Analysis of Camera Distortion Models
Tang, Z., von Gioi, R. G., Monasse, P., & Morel, J. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2686001 · Cited by 136
Practical SVBRDF acquisition of 3D objects with unstructured flash photography
Nam, G., Lee, J. H., Gutiérrez, D., & Kim, M. H. (2018) · ACM Transactions on Graphics · doi:10.1145/3272127.3275017 · Cited by 136
Health monitoring of wind turbine blades in operation using three-dimensional digital image correlation
Wu, R., Zhang, D., Yu, Q., Jiang, Y., & Arola, D. D. (2019) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2019.05.031 · Cited by 136
A reconfigurable heterostructure transistor array for monocular 3D parallax reconstruction
Li, Z., Xu, H., Zheng, Y., Liu, L., Li, L., Lou, Z., & Wang, L. (2025) · Nature Electronics · doi:10.1038/s41928-024-01261-6 · Cited by 142
A brain-controlled exoskeleton with cascaded event-related desynchronization classifiers
Lee, K., Liu, D., Perroud, L., Chavarriaga, R., & Millán, J. D. R. (2016) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2016.10.005 · Cited by 136
PIXL: Planetary Instrument for X-Ray Lithochemistry
Allwood, A. C., Wade, L. A., Foote, M. C., Elam, W. T., Hurowitz, J. A., Battel, S. J., Dawson, D. E., Denise, R. W., Ek, E. M., Gilbert, M. S., et al. (2020) · Space Science Reviews · doi:10.1007/s11214-020-00767-7 · Cited by 140
A Comprehensive Review of Vision-Based 3D Reconstruction Methods
Zhou, L., Wu, G., Zuo, Y., Chen, X., & Hu, H. (2024) · Sensors · doi:10.3390/s24072314 · Cited by 153
An accurate calibration method for a camera with telecentric lenses
Li, D., & Tian, J. (2013) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2012.12.008 · Cited by 133
Accuracy of fish-eye lens models
Eising, C., Denny, P. E., Jones, E., & Glavin, M. (2010) · Applied Optics · doi:10.1364/ao.49.003338 · Cited by 133
Real-time 3D digital image correlation method and its application in human pulse monitoring
Shao, X., Dai, X., Chen, Z., & He, X. (2016) · Applied Optics · doi:10.1364/ao.55.000696 · Cited by 133
Robot System of DRC-HUBO+ and Control Strategy of Team KAIST in DARPA Robotics Challenge Finals
Lim, J., Lee, I., Shim, I., Jung, H., Joe, H.-M., Bae, H., Sim, O., Oh, J., Jung, T., Shin, S., et al. (2016) · Journal of Field Robotics · doi:10.1002/rob.21673 · Cited by 132
Self-Calibration of Rotating and Zooming Cameras
Agapito, L., Hayman, E., & Reid, I. D. (2002) · International Journal of Computer Vision · doi:10.1023/a:1014514429063 · Cited by 132
Lateral and Depth Calibration of PMD-Distance Sensors
Lindner, M., & Kolb, A. (2006) · Lecture notes in computer science · doi:10.1007/11919629_53 · Cited by 131
The Digital Emily project
Alexander, O., Mike Rogers, A., Lambeth, W., Chiang, M. J., & Debevec, P. E. (2009) · ACM SIGGRAPH Courses · doi:10.1145/1667239.1667251 · Cited by 133
Hair photobooth
Paris, S., Chang, W., Kozhushnyan, O. I., Jarosz, W., Matusik, W., Zwicker, M., & Durand, F. (2008) · ACM Transactions on Graphics · doi:10.1145/1360612.1360629 · Cited by 131
Monocular vision-based real-time target recognition and tracking for autonomously landing an UAV in a cluttered shipboard environment
Lin, S., Garratt, M., & Lambert, A. J. (2016) · Autonomous Robots · doi:10.1007/s10514-016-9564-2 · Cited by 129
Analysis on Location Accuracy for the Binocular Stereo Vision System
Yang, L., Wang, B., Zhang, R., Zhou, H., & Wang, R. (2017) · IEEE photonics journal · doi:10.1109/jphot.2017.2784958 · Cited by 129
Geometry‐Aware 3D Point Cloud Learning for Precise Cutting‐Point Detection in Unstructured Field Environments
Wang, H., Zhang, G., Cao, H., Hu, K., Wang, Q., Deng, Y., Gao, J., & Tang, Y. (2025) · Journal of Field Robotics · doi:10.1002/rob.22567 · Cited by 142
Localization strategies for robotic endoscopic capsules: a review
Bianchi, F., Masaracchia, A., Barjuei, E. S., Menciassi, A., Arezzo, A., Koulaouzidis, A., Stoyanov, D. V., Dario, P., & Ciuti, G. (2019) · Expert Review of Medical Devices · doi:10.1080/17434440.2019.1608182 · Cited by 128
A New RGB-D SLAM Method with Moving Object Detection for Dynamic Indoor Scenes
Wang, R., Wan, W., Wang, Y., & Di, K. (2019) · Remote Sensing · doi:10.3390/rs11101143 · Cited by 126
Precise calibration of binocular vision system used for vision measurement
Cui, Y., Zhou, F., Wang, Y., Liu, L., & Gao, H. (2014) · Optics Express · doi:10.1364/oe.22.009134 · Cited by 127
Automatic detection of checkerboards on blurred and distorted images
Rufli, M., Scaramuzza, D., & Siegwart, R. (2008) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2008.4650703 · Cited by 127
Varietal Classification of Rice Seeds Using RGB and Hyperspectral Images
Fabiyi, S. D., Vu, H., Tachtatzis, C., Murray, P., Harle, D., Dao, T., Andonović, I., Ren, J., & Marshall, S. (2020) · IEEE Access · doi:10.1109/access.2020.2969847 · Cited by 127
Real-time stereo tracking for head pose and gaze estimation
Newman, R., Matsumoto, Y., Rougeaux, S., & Zelinsky, A. (2002) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.2000.840622 · Cited by 127
Towards an automated photogrammetry-based approach for monitoring and controlling construction site activities
Omar, H., Mahdjoubi, L., & Kheder, G. (2018) · Computers in Industry · doi:10.1016/j.compind.2018.03.012 · Cited by 129
Markerless vs. Marker-Based Gait Analysis: A Proof of Concept Study
Moro, M., Marchesi, G., Hesse, F., Odone, F., & Casadio, M. (2022) · Sensors · doi:10.3390/s22052011 · Cited by 126
Intraoperative Laparoscope Augmentation for Port Placement and Resection Planning in Minimally Invasive Liver Resection
Feuerstein, M., Mussack, T., Heining, S.-M., & Navab, N. (2008) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.907327 · Cited by 125
Traffic surveillance camera calibration by 3D model bounding box alignment for accurate vehicle speed measurement
Sochor, J., Juránek, R., & Herout, A. (2017) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2017.05.015 · Cited by 112
An overview of hand-eye calibration
Jiang, J., Luo, X., Luo, Q., Qiao, L., & Li, M. (2021) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-021-08233-6 · Cited by 125
Camera Calibration from Images of Spheres
Zhang, H., Wong, K.-Y. K., & Zhang, G. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.45 · Cited by 125
Motion-Estimation-Based Visual Servoing of Nonholonomic Mobile Robots
Zhang, X., Fang, Y., & Liu, X. (2011) · IEEE Transactions on Robotics · doi:10.1109/tro.2011.2162765 · Cited by 124
Automatic Parking Based on a Bird's Eye View Vision System
Wang, C., Zhang, H., Yang, M. Z., Wang, X., Ye, L., & Guo, C. (2014) · Advances in Mechanical Engineering · doi:10.1155/2014/847406 · Cited by 124
DeepCalib
Bogdan, O., Eckstein, V., Rameau, F., & Bazin, J. (2018) · Conference on Visual Media Production · doi:10.1145/3278471.3278479 · Cited by 124
Stereo-Digital Image Correlation (DIC) measurements with a single camera using a biprism
Genovese, K., Casaletto, L., Rayas, J. A., Flores-Muñoz, V. H., & Martı́nez, A. (2012) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2012.10.001 · Cited by 123
Sensor Fusion and Calibration of Inertial Sensors, Vision, Ultra-Wideband and GPS
Hol, J. D. (2011) · Cited by 120
Intelligent Edge-Enabled Efficient Multi-Source Data Fusion for Autonomous Surface Vehicles in Maritime Internet of Things
Liu, R. W., Guo, Y., Nie, J., Hu, Q., Xiong, Z., Yu, H., & Guizani, M. (2022) · IEEE Transactions on Green Communications and Networking · doi:10.1109/tgcn.2022.3158004 · Cited by 127
Autonomous Stair Climbing for Tracked Vehicles
Mourikis, A. I., Trawny, N., Roumeliotis, S. I., Helmick, D. M., & Matthies, L. H. (2007) · The International Journal of Robotics Research · doi:10.1177/0278364907080423 · Cited by 121
A self-reconfigurable camera array
Zhang, C., & Chen, T. (2004) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/1186223.1186412 · Cited by 121
Learning from observation using primitives
Bentivegna, D. C., & Atkeson, C. G. (2002) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2001.932899 · Cited by 121
A coaxial optical scanner for synchronous acquisition of 3D geometry and surface reflectance
Holroyd, M., Lawrence, J., & Zickler, T. E. (2010) · ACM Transactions on Graphics · doi:10.1145/1778765.1778836 · Cited by 120
Dynamic three-dimensional sensing for specular surface with monoscopic fringe reflectometry
Huang, L., Ng, C. S., & Asundi, A. (2011) · Optics Express · doi:10.1364/oe.19.012809 · Cited by 120
Flexible Videogrammetric Technique for Three-Dimensional Structural Vibration Measurement
Chang, C. C., & Ji, Y. (2007) · Journal of Engineering Mechanics · doi:10.1061/(asce)0733-9399(2007)133:6(656 · Cited by 120
Unmanned Aerial Vehicle (UAV) based mapping in engineering geological surveys: Considerations for optimum results
Tziavou, O., Pytharouli, S. I., & Souter, J. (2017) · Engineering Geology · doi:10.1016/j.enggeo.2017.11.004 · Cited by 120
Collaborative Welding System using BIM for Robotic Reprogramming and Spatial Augmented Reality
Tavares, P., Costa, C. M., Rocha, L. F., Malaca, P., Costa, P., Moreira, A. P., Sousa, A. J., & Veiga, G. M. (2019) · Automation in Construction · doi:10.1016/j.autcon.2019.04.020 · Cited by 120
MoVi: A large multi-purpose human motion and video dataset
Ghorbani, S., Mahdaviani, K., Thaler, A., Kording, K. P., Cook, D. J., Blohm, G., & Troje, N. F. (2021) · PLoS ONE · doi:10.1371/journal.pone.0253157 · Cited by 136
A sensor fusion system with thermal infrared camera and LiDAR for autonomous vehicles and deep learning based object detection
Choi, J. D., & Kim, M. Y. (2022) · ICT Express · doi:10.1016/j.icte.2021.12.016 · Cited by 132
ORBSLAM-Based Endoscope Tracking and 3D Reconstruction
Mahmoud, N., Cirauqui, I., Hostettler, A., Doignon, C., Soler, L., Marescaux, J., & Montiel, J. M. M. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-54057-3_7 · Cited by 119
Whole-field thickness strain measurement using multiple camera digital image correlation system
Li, J., Xie, X. L., Yang, G., Zhang, B., Siebert, T., & Yang, L. (2016) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2016.09.012 · Cited by 119
Solving the robot-world hand-eye(s) calibration problem with iterative methods
Tabb, A., & Yousef, K. M. A. (2017) · Machine Vision and Applications · doi:10.1007/s00138-017-0841-7 · Cited by 119
Real-time human skin temperature analysis using thermal image recognition for thermal comfort assessment
Metzmacher, H., Wölki, D., Schmidt, C., Frisch, J., & van Treeck, C. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2017.09.032 · Cited by 119
Global Path-Planning for Constrained and Optimal Visual Servoing
Chesi, G., & Hung, Y. S. (2007) · IEEE Transactions on Robotics · doi:10.1109/tro.2007.903817 · Cited by 119
Camera calibration and 3D reconstruction from single images using parallelepipeds
Wilczkowiak, M., Boyer, E., & Sturm, P. F. (2002) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2001.937510 · Cited by 119
Rectifying rolling shutter video from hand-held devices
Forssén, P.-E., & Ringaby, E. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5540173 · Cited by 118
Estimating morphometric attributes of baleen whales with photogrammetry from small UASs: A case study with blue and gray whales
Burnett, J. D., Lemos, L. S., Barlow, D. R., Wing, M. G., Chandler, T., & Torres, L. G. (2018) · Marine Mammal Science · doi:10.1111/mms.12527 · Cited by 117
Project starline
Lawrence, J., Goldman, D., Achar, S., Blascovich, G. M., Desloge, J. G., Fortes, T., Gomez, E. M., Häberling, S., Hoppe, H., Huibers, A. G., et al. (2021) · ACM Transactions on Graphics · doi:10.1145/3478513.3480490 · Cited by 117
Visual panel
Zhang, Z., Wu, Y. N., Shan, Y., & Shafer, S. A. (2001) · Workshop on Perceptive User Interfaces · doi:10.1145/971478.971522 · Cited by 117
Self-citation
Comparative Validation of Single-Shot Optical Techniques for Laparoscopic 3-D Surface Reconstruction
Maier-Hein, L., Groch, A., Bartoli, A., Bodenstedt, S., Boissonnat, G., Chang, P.-L., Clancy, N., Elson, D. S., Haase, S., Heim, E., et al. (2014) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2014.2325607 · Cited by 122
Fully Automatic Roadside Camera Calibration for Traffic Surveillance
Dubská, M., Herout, A., Juránek, R., & Sochor, J. (2015) · IEEE transactions on intelligent transportation systems (Print) · doi:10.1109/tits.2014.2352854 · Cited by 120
Real-time image processing for vision-based weld seam tracking in robotic GMAW
Xu, Y., Fang, G., Chen, S., Zou, J. J., & Ye, Z. (2014) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-014-5925-1 · Cited by 116
Structural Identification Using Computer Vision–Based Bridge Health Monitoring
Khuc, T., & Çatbaş, F. N. (2017) · Journal of Structural Engineering · doi:10.1061/(asce)st.1943-541x.0001925 · Cited by 116

Authors: Zhang, Z.
Affiliations: Microsoft (United States) (US)
Corresponding author: Zhang, Z.
ORCID: Zhang, Z.
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2000
Volume: 22
Issue: 11
Pages: 1330-1334
ISSN: 0162-8828 (ISSN-L)
DOI: 10.1109/34.888718
OpenAlex: W2167667767
Cited by: 15,004
References: 30
Citations by year: 2026: 858 · 2025: 1043 · 2024: 1031 · 2023: 1035 · 2022: 941 · 2021: 898 · 2020: 840 · 2019: 897 · 2018: 814 · 2017: 771 · 2016: 707 · 2015: 650 · 2014: 595 · 2013: 616 · 2012: 502
FWCI: 79.80
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: IEEE Transactions on Pattern Analysis and Machine Intelligence (publishedVersion)
Topics: Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Optical measurement and interference techniques
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Object Detection Techniques
Keywords: camera calibration, planar pattern, radial distortion, analytical solution, maximum likelihood refinement, 3D vision

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

A flexible new technique for camera calibration

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks