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Point-less calibration: Camera parameters from gradient-based alignment to edge images
2012
2012 IEEE Workshop on the Applications of Computer Vision (WACV)
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Overhead schematics of many environments resemble edge images. Edge images are difficult to align using image-based algorithms because both the image and its gradient are sparse. ...
As a result, we are able to calibrate our camera models robustly using regular gradient-based image alignment, given an initial ground to image homography estimate. ...
Previous Work Image-Based Calibration Image-based calibration estimates camera parameters directly from pixel intensities. ...
doi:10.1109/wacv.2012.6163012
dblp:conf/wacv/CarrSM12
fatcat:xn5pocy3j5e6bbdgywqis2w3ki
Deep Learning based Virtual Point Tracking for Real-Time Target-less Dynamic Displacement Measurement in Railway Applications
[article]
2021
arXiv
pre-print
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based rule engine for point tracking in adjacent frames. ...
In the case that the optical target cannot be attached to the measuring objective, edge detection, feature matching and template matching are the most common approaches in target-less photogrammetry. ...
Therefore, we combine a DL-based point detector with a domain-knowledge-based tracker to achieve real-time point tracking, which requires much less training data. ...
arXiv:2101.06702v3
fatcat:bjep4caf5rb4leeaqqkxcczgre
Multi-FEAT: Multi-Feature Edge AlignmenT for Targetless Camera-LiDAR Calibration
[article]
2022
arXiv
pre-print
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This paper introduces a novel approach for targetless camera-LiDAR extrinsic calibration called Multi-FEAT (Multi-Feature Edge AlignmenT). ...
Multi-FEAT uses the cylindrical projection model to transform the 2D(Camera)-3D(LiDAR) calibration problem into a 2D-2D calibration problem, and exploits various LiDAR feature information to supplement ...
eliminating the low-quality edges influenced by the occlusion effect. • A cost function is designed to align the edge intensities of the camera images' edge probability acquired from the multi-feature ...
arXiv:2207.07228v1
fatcat:4ixut45uuje65cw5psg7wzd5eq
Calibrating Distributed Camera Networks
2008
Proceedings of the IEEE
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We next describe a distributed algorithm in which each camera performs a local, robust nonlinear optimization over the camera parameters and scene points of its vision graph neighbors to obtain an initial ...
In particular, we discuss a decentralized method for obtaining the vision graph for a distributed camera network, in which each edge of the graph represents two cameras that image a sufficiently large ...
Once the vision graph is established, false edges can be removed based on further messages (e.g., moving from the circular to the square operating point).(Figure from [7] .) ...
doi:10.1109/jproc.2008.928759
fatcat:tig2sqoz6ngtnbwfgl3hnuu7q4
Motion Guided LIDAR-camera Self-calibration and Accelerated Depth Upsampling for Autonomous Vehicles
[article]
2020
arXiv
pre-print
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This work proposes a novel motion guided method for target-less self-calibration of a LiDAR and camera and use the re-projection of LiDAR points onto the image reference frame for real-time depth upsampling ...
The calibration parameters are estimated by optimizing an objective function that penalizes distances between 2D and re-projected 3D motion vectors obtained from time-synchronized image and point cloud ...
uses the image in 7.a from the camera. ...
arXiv:1803.10681v3
fatcat:barn3grkjrgv7cg52zrkqknaau
Joint Camera Intrinsic and LiDAR-Camera Extrinsic Calibration
[article]
2022
arXiv
pre-print
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To this end, we propose a novel target-based joint calibration method of the camera intrinsic and LiDAR-camera extrinsic parameters. ...
parameter calibration is often reduced due to the tiny error of the camera's intrinsic parameters. ...
The calibration goal is to align the LiDAR point cloud with the camera image through intrinsic and extrinsic parameters. ...
arXiv:2202.13708v2
fatcat:oumnzfn5lrefrlrtpiafxdwcwm
Targetless Extrinsic Calibration of Stereo Cameras, Thermal Cameras, and Laser Sensors in the Wild
[article]
2022
arXiv
pre-print
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alignment of the edge features. ...
However, such calibration is difficult due to the variety of sensor modalities and the requirement of calibration targets and human labor. ...
ACKNOWLEDGEMENT The authors acknowledge the sponsorship of this work from the Shimizu Institute of Technology (Tokyo). ...
arXiv:2109.13414v2
fatcat:woizglvawrcfdgwdd6qqswq2za
Targetless Camera-LiDAR Calibration in Unstructured Environments
2020
IEEE Access
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This method consists of a novel co-registration approach that uses local edge features in arbitrary environments to get 3D-to-2D errors between the data of both, camera and LiDAR. ...
In this article, we present a novel calibration method that achieves an accurate six-degree-offreedom (6-DOF) rigid-body transformation estimation (aka extrinsic parameters) between the camera and LiDAR ...
CO-REGISTRATION OF CAMERA-LIDAR POINTS To perform edge alignment at the object level, we do a clustering at D points, first in the depth dimension, and then, in two dimensions of the image plane. ...
doi:10.1109/access.2020.3014121
fatcat:gm6bjp7odra7pmd3ynziloawqq
Sports Camera Calibration via Synthetic Data
[article]
2018
arXiv
pre-print
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The camera pose engine has only three significant free parameters so that it can effectively generate a lot of camera poses and corresponding edge (i.e, field marking) images. ...
Here we propose a highly automatic method for calibrating sports cameras from a single image using synthetic data. First, we develop a novel camera pose engine. ...
Our method is significantly different from this method in two points. First, we propose a novel camera pose engine to generate edge images. ...
arXiv:1810.10658v1
fatcat:o7i7fv3fgnb3fi4ux6u54h2ksa
A Novel Calibration Board and Experiments for 3D LiDAR and Camera Calibration
2020
Sensors
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In addition, the "three-step fitting interpolation method" was proposed to select feature points and obtain the corresponding coordinates of feature points in the LiDAR coordinate system and camera pixel ...
Aiming at the problems of feature point calibration method of 3D light detection and ranging (LiDAR) and camera calibration that are calibration boards in various forms, incomplete information extraction ...
[9] used the natural alignment of depth and intensity edges in combination with a Gaussian mixture model to solve the calibration result. ...
doi:10.3390/s20041130
pmid:32092995
pmcid:PMC7070607
fatcat:sav6zkxbpzg2havcy6hesnxqwm
Radiometric Calibration
[chapter]
2014
Computer Vision
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We present a robust radiometric calibration framework that capitalizes on the transform invariant low-rank structure in the various types of observations, such as sensor irradiances recorded from a static ...
scene with different exposure times, or linear structure of irradiance color mixtures around edges. ...
Fig. 9 . 9 Results of our calibration method with a dataset captured from a Point Grey Flea3 camera.
Fig. 10 . 10 Radiometric alignment of real-world images. ...
doi:10.1007/978-0-387-31439-6_522
fatcat:utlwuopngvbgncudydsfox26sy
Sports Camera Calibration via Synthetic Data
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Here we propose a highly automatic method for calibrating sports cameras from a single image using synthetic data. ...
The camera pose engine has only three significant free parameters so that it can effectively generate diverse camera poses and corresponding edge (i.e. field marking) images. ...
Our method extends the two-point method [6] which requires prior knowledge of camera base location and orientation to calibrate pan-tilt-zoom (PTZ) cameras. ...
doi:10.1109/cvprw.2019.00305
dblp:conf/cvpr/ChenL19
fatcat:sh54ura6g5gsdcghnnepseehia
Automatic detection of calibration grids in time-of-flight images
2014
Computer Vision and Image Understanding
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It is convenient to calibrate time-of-flight cameras by established methods, using images of a chequerboard pattern. ...
The proposed Hough-based method is compared to the standard OpenCV detection routine, by application to several hundred time-of-flight images. ...
It makes use of the gradient orientation as well as magnitude at each point, in order to establish an axis-aligned coordinate system for each image of the pattern. ...
doi:10.1016/j.cviu.2014.01.007
fatcat:7sbjq3l2hrge3bu5ck7tsigcze
Auto-calibration Method Using Stop Signs for Urban Autonomous Driving Applications
[article]
2021
arXiv
pre-print
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2020 pre-print arXiv:2010.07441v1 fatcat:gf7ac2477jfcvnxbyph6lhpkka
The approach is based on detection, geometry estimation, calibration, and recursive updating. Results from natural environments are presented that clearly show convergence and improved performance. ...
An approach based on recognition of traffic signs, such as stop signs, and use of them for recalibration of cameras is presented. ...
RELATED WORK Camera Calibration: Camera parameters can be estimated from enough pairs of 3D object points and corresponding 2D image points [11] . ...
arXiv:2010.07441v2
fatcat:k7bjs2soavekbmhp5dtylmeuge
Automatic calibration of multi-modal sensor systems using a gradient orientation measure
2013
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems
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A novel technique for calibrating a multi-modal sensor system has been developed. Our calibration method is based on the comparative alignment of output gradients from two candidate sensors. ...
The algorithm is applied to the calibration of the extrinsic parameters of several camera-lidar systems. In this calibration the lidar scan is projected onto the camera's image using a camera model. ...
Camera model To convert the lidar data from a list of 3-D points to a 2-D image that can be compared to the camera's images, the points are first passed into a transformation matrix that aligns the camera's ...
doi:10.1109/iros.2013.6696516
dblp:conf/iros/TaylorNJ13
fatcat:o2ugsfobnrdi5gf465ummkb7j4
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