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Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration [article]

Yaroslava Lochman, Oles Dobosevych, Rostyslav Hryniv, James Pritts
2020 arXiv   pre-print
State-of-the-art performance is demonstrated on a standard dataset of lens-distorted urban images. The code is available at  ...  We also show that the proposed solvers are complementary and can be used together in a RANSAC-based estimator to improve auto-calibration accuracy.  ...  Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration Supplemental Material A.  ... 
arXiv:2011.08988v1 fatcat:xyx4iqqpqfazzb56aulzs74mmq

Non-parametric Structure-Based Calibration of Radially Symmetric Cameras

Federico Camposeco, Torsten Sattler, Marc Pollefeys
2015 2015 IEEE International Conference on Computer Vision (ICCV)  
catadioptric cameras, as well as pinhole cameras, using a single image or jointly solving for several views.  ...  We propose a novel two-step method for estimating the intrinsic and extrinsic calibration of any radially symmetric camera, including non-central systems.  ...  Martin Oswald for his valuable input regarding the convex optimization.  ... 
doi:10.1109/iccv.2015.253 dblp:conf/iccv/CamposecoSP15 fatcat:3wmrtvci7fc7fchhfsbbcthbzm

Calibration and Auto-Refinement for Light Field Cameras [article]

Yuriy Anisimov, Gerd Reis, Didier Stricker
2021 arXiv   pre-print
This paper presents an approach for light field camera calibration and rectification, based on pairwise pattern-based parameters extraction.  ...  It is followed by a correspondence-based algorithm for camera parameters refinement from arbitrary scenes using the triangulation filter and nonlinear optimization.  ...  (micro-lens array or single-view cameras) the direct estimation of scene depth information will not be accurate. Natural lens distortion also affects the quality of the result.  ... 
arXiv:2106.06181v1 fatcat:tc7vx2eb25eoblujfpl4vo6jmi

A Minimal Solution to Relative Pose with Unknown Focal Length and Radial Distortion [chapter]

Fangyuan Jiang, Yubin Kuang, Jan Erik Solem, Kalle Åström
2015 Lecture Notes in Computer Science  
We have derived a fast and stable polynomial solver based on Gröbner basis method. This solver enables simultaneous auto-calibration of focal length and radial distortion for cameras.  ...  In this paper, we study the minimal problem of estimating the essential matrix between two cameras with constant but unknown focal length and radial distortion.  ...  Thus, the minimal problem of auto-calibration with unknown focal length and radial distortion needs 7 correspondences.  ... 
doi:10.1007/978-3-319-16808-1_30 fatcat:prp4zn4ruvbkfkx5lqwjhycgve

Trust Your IMU: Consequences of Ignoring the IMU Drift [article]

Marcus Valtonen Örnhag and Patrik Persson and Mårten Wadenbäck and Kalle Åström and Anders Heyden
2021 arXiv   pre-print
The extended intrinsic auto-calibration enables us to use distorted input images, making tedious calibration processes obsolete, compared to current state-of-the-art methods.  ...  This allows us to consider a simplified camera model, which in turn admits further intrinsic calibration.  ...  The proposed 4-point solver is able to accurately perform radial distortion auto-calibration for focal length and motion parameters.  ... 
arXiv:2103.08286v2 fatcat:ouul6gjrxvdwxf2xwhgegmsjjm

Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations [article]

James Pritts, Zuzana Kukelova, Viktor Larsson, Yaroslava Lochman, Ondřej Chum
2020 arXiv   pre-print
This paper introduces minimal solvers that jointly solve for affine-rectification and radial lens undistortion from the image of translated and reflected coplanar features.  ...  Accurate rectifications on imagery taken with narrow to fisheye field-of-view lenses demonstrate the wide applicability of the proposed method. The method is fully automatic.  ...  Cameras always have some lens distortion, and the distortion can be significant for wide-angle lenses.  ... 
arXiv:1911.01507v3 fatcat:qjyosq2lmze2fcloxi4j2criqm

3D Reconstruction from public webcams [article]

Tianyu Wu, Konrad Schindler, Cenek Albl
2021 arXiv   pre-print
The question naturally arises: can we make use of this free data source for 3D computer vision?  ...  In the webcam setting there are very few views of the same scene, in most cases only the minimum of two.  ...  Auto-calibration of radially distorted cameras was introduced in [9] where the fundamental matrix F was estimated along with a single radial distortion parameter, assuming the two images were taken with  ... 
arXiv:2108.09476v2 fatcat:2m4k24nacrd5df4dcb74kd3f6i

Unknown Radial Distortion Centers in Multiple View Geometry Problems [chapter]

José Henrique Brito, Roland Angst, Kevin Köser, Christopher Zach, Pedro Branco, Manuel João Ferreira, Marc Pollefeys
2013 Lecture Notes in Computer Science  
Later minimal solvers have been proposed to find relative pose and radial distortion, given point correspondences between images.  ...  This new formulation is much more practical in reality as it allows also digital zoom, cropped images and camera-lens systems where the distortion center does not exactly coincide with the image center  ...  [13] that this view relation can be estimated actually from only 9 correspondences in a minimal solver.  ... 
doi:10.1007/978-3-642-37447-0_11 fatcat:hwp5qos5srgf3dbroja4bzgn3y

Towards Euclidean auto-calibration of stereo camera arrays

Peter Andras Kara, Roopak Tamboli, Kiran Kumar Vupparaboina, Shanmukh Manne, Aron Cserkaszky, Maria Martini, Ashutosh Richhariya, Soumya Jana, José Sasián, Richard N. Youngworth
2018 Optical System Alignment, Tolerancing, and Verification XII  
Once the imperfections are quantified, we use an auto-calibration method to calibrate a set of stereo cameras.  ...  To this end, a class of camera auto-calibration methods imposes constraints on the camera network rather than on the scene.  ...  For such networks, various methods offer metric auto-calibration, allowing faithful recovery of shape, but not scale. 2 Such techniques typically establish point correspondences across multiple 2D views  ... 
doi:10.1117/12.2320569 fatcat:z2yfrxl6undapepfqbndd3tryq

Radial Distortion Self-Calibration

Jose Henrique Brito, Roland Angst, Kevin Koser, Marc Pollefeys
2013 2013 IEEE Conference on Computer Vision and Pattern Recognition  
of the distortion center from two views (same distortion) or three views (different distortions).  ...  By finding these straight epipolar lines in camera pairs we can obtain constraints on the distortion center(s) without any calibration object or plumbline assumptions in the scene.  ...  For auto-calibration, or for direct estimation based on distorted measurements, an undistortion model rather than a distortion model is required.  ... 
doi:10.1109/cvpr.2013.180 dblp:conf/cvpr/BritoAKP13 fatcat:nymo3zonz5gsdmqky2cvk63myi

Auto-calibration of depth camera networks for people tracking

Otto Korkalo, Tommi Tikkanen, Paul Kemppi, Petri Honkamaa
2019 Machine Vision and Applications  
Our main contribution is an auto-calibration method for such depth camera networks.  ...  We address the problem of calibrating an embedded depth camera network designed for people tracking purposes.  ...  The authors would like to thank professor Tapio Takala from Aalto University, Finland, for valuable comments, and Alain Boyer from VTT Technical Research Centre of Finland for language revision.  ... 
doi:10.1007/s00138-019-01021-z fatcat:oeyfbmgxkrgxzfsqhbaihavc5a

A system and method for auto-correction of first order lens distortion

Jonathan Fry, Michael Pusateri
2010 2010 IEEE 39th Applied Imagery Pattern Recognition Workshop (AIPR)  
In multispectral imaging systems, correction for lens distortion is required to allow pixel by pixel fusion techniques to be applied.  ...  First, an overview of lens distortion models, correction methods, and calibration targets are presented.  ...  With a standard target, an image analysis and auto calibration method had to be developed such that it was possible to characterize the lens distortion without a human technician.  ... 
doi:10.1109/aipr.2010.5759696 dblp:conf/aipr/FryP10 fatcat:svr5jxyirfcupn6g7uyof6zsiu

A Novel Method for Intrinsic and Extrinsic Parameters Estimation by Solving Perspective-Three-Point Problem with Known Camera Position

Kai Guo, Hu Ye, Junhao Gu, Honglin Chen
2021 Applied Sciences  
All the P3P solvers have a multi-solution phenomenon that is up to four solutions and needs a fully calibrated camera.  ...  In contrast, in this paper we propose a novel method for intrinsic and extrinsic parameter estimation based on three 2D–3D point correspondences with known camera position.  ...  For the all existing P3P solvers, the camera is fully calibrated, which means the K is known. However, the camera is uncalibrated in this paper.  ... 
doi:10.3390/app11136014 fatcat:q3cdefmfo5emtf6azhrluxxyxq

Auto-Tilt Photography [article]

Filip Sadlo, Carsten Dachsbacher
2011 International Symposium on Vision, Modeling, and Visualization  
We demonstrate auto-tilt using a simple rapidly prototyped experimental setup that tilts the sensor (as opposed to classic tilt-shift lenses), and describe possible implementations in off-the-shelf cameras  ...  Tilt-shift camera lenses are a powerful artistic tool to achieve effects like selective focus with very shallow depth of field.  ...  Acknowledgements We thank the German Research Foundation (DFG) for financial support of the project within the Cluster of Excellence in Simulation Technology (EXC 310/1) and the Collaborative Research  ... 
doi:10.2312/pe/vmv/vmv11/239-246 dblp:conf/vmv/SadloD11 fatcat:ve4ikr4u3batveb54a2phv3kia

Large Scale Photometric Bundle Adjustment [article]

Oliver J. Woodford, Edward Rosten
2020 arXiv   pre-print
This work presents a framework for jointly optimizing millions of scene points and hundreds of camera poses and intrinsics, using a photometric cost that is invariant to local lighting changes.  ...  However, offline 3-d reconstruction from internet images has not yet benefited from a joint, photometric optimization over dense geometry and camera parameters.  ...  distortion function, and κ s (·) : R 2 → R 2 is the linear calibration function κ s (x) = s 1 0 0 s 2 x + s 3 s 4 , s.t. κ −1 s (x) = 1/s 1 0 0 1/s 2 x − s 3 s 4 . (2) For lens distortion, we use a standard  ... 
arXiv:2008.11762v2 fatcat:lcyugymrabhd5cojhsmcafhs5u
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