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Earlier: A2, A1:
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Ringaby, E.[Erik],
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ICCP14(1-9)
IEEE DOI
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feature extraction
BibRef
Ovren, H.[Hannes],
Forssen, P.E.[Per-Erik],
Tornqvist, D.[David],
Why would I want a gyroscope on my RGB-D sensor?,
WORV13(68-75)
IEEE DOI
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BibRef
Hanning, G.[Gustav],
Forslow, N.[Nicklas],
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Patron-Perez, A.[Alonso],
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A Spline-Based Trajectory Representation for Sensor Fusion and Rolling
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IJCV(113), No. 3, July 2015, pp. 208-219.
Springer DOI
1506
BibRef
Earlier: A2, A1, A3:
Spline Fusion: A continuous-time representation for visual-inertial
fusion with application to rolling shutter cameras,
BMVC13(xx-yy).
DOI Link
1402
SLAM and visual-inertial calibration.
BibRef
Sun, Y.F.[Yu-Fen],
Liu, G.[Gang],
Sun, Y.[Yue],
An Affine Motion Model for Removing Rolling Shutter Distortions,
SPLetters(23), No. 9, September 2016, pp. 1250-1254.
IEEE DOI
1609
affine transforms
BibRef
Nguyen, T.T.[Thanh-Tin],
Lhuillier, M.[Maxime],
Self-calibration of omnidirectional multi-cameras including
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CVIU(162), No. 1, 2017, pp. 166-184.
Elsevier DOI
1710
Bundle adjustment
BibRef
Zhou, Y.[Yilin],
Daakir, M.[Mehdi],
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A two-step approach for the correction of rolling shutter distortion
in UAV photogrammetry,
PandRS(160), 2020, pp. 51-66.
Elsevier DOI
2001
Rolling shutter, Readout time calibration,
Distortion correction, UAV, Aerial photogrammetry, 00-01, 99-00
BibRef
Albl, C.[Cenek],
Kukelova, Z.[Zuzana],
Larsson, V.[Viktor],
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Rolling Shutter Camera Absolute Pose,
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IEEE DOI
2005
Cameras, Mathematical model, Optimization, Computational modeling,
Data models, Analytical models, Standards, minimal problems
BibRef
Lao, Y.Z.[Yi-Zhen],
Ait-Aider, O.[Omar],
Bartoli, A.[Adrien],
Solving Rolling Shutter 3D Vision Problems using Analogies with
Non-rigidity,
IJCV(129), No. 1, January 2021, pp. 100-122.
Springer DOI
2101
BibRef
Lao, Y.Z.[Yi-Zhen],
Ait-Aider, O.[Omar],
Rolling Shutter Homography and its Applications,
PAMI(43), No. 8, August 2021, pp. 2780-2793.
IEEE DOI
2107
Cameras, Transmission line matrix methods, Geometry,
Pose estimation, Kinematics, Delays,
image stitching
lao-ait-aruj-sfm-rolling
BibRef
Lao, Y.,
Ait-Aider, O.,
A Robust Method for Strong Rolling Shutter Effects Correction Using
Lines with Automatic Feature Selection,
CVPR18(4795-4803)
IEEE DOI
1812
Cameras, Solid modeling,
Feature extraction, Mathematical model, Kinematics, Angular velocity
BibRef
Wu, H.C.[Hui-Cong],
Xiao, L.[Liang],
Wei, Z.H.[Zhi-Hui],
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IP(30), 2021, pp. 4637-4652.
IEEE DOI
2105
BibRef
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Invisible Perturbations: Physical Adversarial Examples Exploiting the
Rolling Shutter Effect,
CVPR21(14661-14670)
IEEE DOI
2111
Deep learning,
Computational modeling, Perturbation methods, Cameras, Radiometry
BibRef
Hu, X.,
Olesen, D.,
Knudsen, P.,
Multistate Constrained Invariant Kalman Filter For Rolling Shutter
Camera and IMU Calibration,
ICIP20(56-60)
IEEE DOI
2011
Cameras, Interpolation, Calibration, Kalman filters,
Jacobian matrices, Robustness, Estimation, Rolling Shutter,
Lie Algebra
BibRef
Liu, P.,
Cui, Z.,
Larsson, V.,
Pollefeys, M.,
Deep Shutter Unrolling Network,
CVPR20(5940-5948)
IEEE DOI
2008
Cameras, Decoding, Distortion,
Motion estimation, Machine learning, Estimation
BibRef
Albl, C.,
Kukelova, Z.,
Larsson, V.,
Polic, M.,
Pajdla, T.,
Schindler, K.,
From Two Rolling Shutters to One Global Shutter,
CVPR20(2502-2510)
IEEE DOI
2008
Cameras, Distortion, Geometry, Smart phones,
Image capture, Image reconstruction
BibRef
Zhuang, B.,
Bai, D.,
Lee, J.,
5D Video Stabilization through Sensor Vision Fusion,
ICIP19(4340-4344)
IEEE DOI
1910
Video Stabilization, Sensor Vision Fusion, Motion Estimation,
Rolling Shutter Compensation
BibRef
Vasu, S.,
Mohan, M.,
Rajagopalan, A.N.,
Occlusion-Aware Rolling Shutter Rectification of 3D Scenes,
CVPR18(636-645)
IEEE DOI
1812
Cameras, Distortion, Solid modeling,
Image restoration, Sparse matrices, Videos
BibRef
Bapat, A.,
Price, T.,
Frahm, J.,
Rolling Shutter and Radial Distortion are Features for High Frame
Rate Multi-camera Tracking,
CVPR18(4824-4833)
IEEE DOI
1812
Cameras, Distortion, Tracking,
Lenses
BibRef
Purkait, P.,
Zach, C.,
Minimal Solvers for Monocular Rolling Shutter Compensation Under
Ackermann Motion,
WACV18(903-911)
IEEE DOI
1806
cameras, image motion analysis, image resolution,
image restoration, image sensors, motion compensation,
Roads
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1805
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Rolling Shutter Correction in Manhattan World,
ICCV17(882-890)
IEEE DOI
1802
computational geometry, image motion analysis, image resolution,
image restoration, image segmentation, image sensors,
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Mahesh Mohan, M.R.,
Rajagopalan, A.N.,
Going Unconstrained with Rolling Shutter Deblurring,
ICCV17(4030-4038)
IEEE DOI
1802
CMOS image sensors, cameras, image motion analysis,
image restoration, CMOS sensors, RS blind motion deblurring,
BibRef
Rengarajan, V.,
Balaji, Y.,
Rajagopalan, A.N.,
Unrolling the Shutter: CNN to Correct Motion Distortions,
CVPR17(2345-2353)
IEEE DOI
1711
Cameras, Distortion, Feature extraction, Kernel, Optical distortion,
Trajectory,
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Rajagopalan, A.N.,
Aravind, R.,
From Bows to Arrows: Rolling Shutter Rectification of Urban Scenes,
CVPR16(2773-2781)
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1612
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Punnappurath, A.[Abhijith],
Rajagopalan, A.N.,
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Rolling shutter super-resolution in burst mode,
ICIP16(2807-2811)
IEEE DOI
1610
BibRef
Earlier: A1, A2, A3, Only:
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ICCV15(558-566)
IEEE DOI
1602
Cameras.
CMOS integrated circuits
BibRef
Gupta, S.B.,
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CVPV15(41-48)
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1602
CMOS integrated circuits
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1510
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ICIP14(2160-2162)
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Cameras
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ICIP14(5367-5371)
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1502
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1403
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ICIP13(900-904)
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Adaptive optics
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1309
calibration, continuous-time estimation, rolling shutter camera
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Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Motion Edges -- Detection and Analysis .