Browse State-of-the-Art › Camera Calibration
Camera Calibration
129 papers with code · 0 benchmarks · 4 datasets archive 2025-07-28
Camera calibration involves estimating camera parameters(including camera intrinsics and extrinsics) to infer geometric features from captured sequences, which is crucial for computer vision and robotics. Driven by different architectures of the neural network, the researchers have developed two main paradigms for learning-based camera calibration and its applications. One is Regression-based Calibration，Reconstruction-based Calibration is another.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
4 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 129 papers with code (343 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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5 Oct 2022 7 repositories listedThe SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.
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7 Oct 2019 7 repositories listedThe homogeneous transformation between a LiDAR and monocular camera is required for sensor fusion tasks, such as SLAM.
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5 Oct 2019 5 repositories listed Syntology ran 0 of 20 samples · 20 unverifiedThis work presents Kornia -- an open source computer vision library which consists of a set of differentiable routines and modules to solve generic computer vision problems.
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27 May 2017 5 repositories listedWith the advent of autonomous vehicles, LiDAR and cameras have become an indispensable combination of sensors.
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17 Aug 2022 4 repositories listedWith the recent development of Deep Learning applied to Computer Vision, sport video understanding has gained a lot of attention, providing much richer information for both sport consumers and leagues.
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6 Jul 2021 4 repositories listedHomography estimation is an important task in computer vision applications, such as image stitching, video stabilization, and camera calibration.
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9 Nov 2021 3 repositories listedThis paper presents a novel calibration algorithm for plenoptic cameras, especially the multi-focus configuration, where several types of micro-lenses are used, using raw images only.
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25 Oct 2018 3 repositories listedHere we propose a highly automatic method for calibrating sports cameras from a single image using synthetic data.
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12 Apr 2024 2 repositories listedCamera calibration in broadcast sports videos presents numerous challenges for accurate sports field registration due to multiple camera angles, varying camera parameters, and frequent occlusions of the field.
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21 Dec 2023 2 repositories listed Syntology ran 6 of 10 samples · 4 unverified · 10 pointer-only (licence)Our formulation directly provides a 3D model of the scene as well as depth information, but interestingly, we can seamlessly recover from it, pixel matches, relative and absolute camera.
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12 Sep 2023 2 repositories listedMore information on the tasks, challenges, and leaderboards are available on https://www.
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8 Aug 2023 2 repositories listed Syntology ran 6 of 10 samples · 4 unverified · 10 pointer-only (licence)Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos.
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22 Nov 2022 2 repositories listedAs far as we are aware, our approach is the first one that uses an approach to multi-task learning that includes mathematical formulas in a framework for learning to estimate camera parameters to predict both the…
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7 Oct 2021 2 repositories listedTo the best of our knowledge, ours is the first method to jointly estimate both the intrinsic and extrinsic parameters via a multi-task learning methodology that combines analytical equations in learning framework for…
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21 Mar 2021 2 repositories listedFrom the detected pairs of vanishing points for multiple vehicles in a scene we establish the scene geometry by estimating the focal length of the camera and the orientation of the road plane.
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14 Oct 2020 2 repositories listedLight-field cameras play a vital role for rich 3-D information retrieval in narrow range depth sensing applications.
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5 Dec 2019 2 repositories listed Syntology ran 0 of 14 samples · 14 unverifiedIn contrast, generic camera models allow for very accurate calibration due to their flexibility.
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24 Aug 2018 2 repositories listedIn this paper, we present the dataset, its annotations, as well as baseline results from several recent person detection and 2D/3D pose estimation methods.
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22 Mar 2018 2 repositories listedDuring training, the network only takes as input a LiDAR point cloud, the corresponding monocular image, and the camera calibration matrix K.
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8 Jul 2017 2 repositories listedWe present a novel approach for vanishing point detection from uncalibrated monocular images.
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20 Jun 2025 1 repository listedThe core concept of this approach is to model the boundary points of a two-dimensional shape as a Markov random field, considering its connectivity.
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28 May 2025 1 repository listedWe thereby propose a novel Selective Fusion Mechanism to identify and fuse reliable features from both perspectives, reducing the effect of height uncertainty.
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14 Apr 2025 1 repository listedOur proposed datasets establish new benchmarks for 3D soccer scene understanding, enhancing both spatial and temporal analysis in sports analytics.
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1 Apr 2025 1 repository listedAdditionally, we address the limitations of the photometric loss by incorporating the reprojection and triangulation losses, thereby enhancing the calibration robustness and accuracy.
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16 Mar 2025 1 repository listedWe present AnyCalib, a method for calibrating the intrinsic parameters of a camera from a single in-the-wild image, that is agnostic to the camera model.
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3 Mar 2025 1 repository listedIn augmented reality applications where virtual content is composed into a live video feed, we can model noise, MB and DoF to make the virtual content visually consistent with the video.
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3 Mar 2025 1 repository listedDUSt3R introduced a novel paradigm in geometric computer vision by proposing a model that can provide dense and unconstrained Stereo 3D Reconstruction of arbitrary image collections with no prior information about…
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24 Feb 2025 1 repository listedAccurate multi-sensor calibration is essential for deploying robust perception systems in applications such as autonomous driving and intelligent transportation.
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13 Feb 2025 1 repository listedIn this paper, we present PTZ-Calib, a robust two-stage PTZ camera calibration method, that efficiently and accurately estimates camera parameters for arbitrary viewpoints.
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25 Dec 2024 1 repository listedFinally, a latent motion prior is proposed to refine the camera parameters and human motions.
Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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