Liang, C.K.,
Chang, L.W.,
Chen, H.H.,
Analysis and Compensation of Rolling Shutter Effect,
IP(17), No. 8, August 2008, pp. 1323-1330.
IEEE DOI
0808
BibRef
Lao, Y.[Yizhen],
Ait-Aider, O.[Omar],
Araujo, H.[Helder],
Robustified Structure from Motion with rolling-shutter camera using
straightness constraint,
PRL(111), 2018, pp. 1-8.
Elsevier DOI
1808
Rolling shutter, Structure from Motion, Ego-motion estimation, Bundle adjustment
BibRef
Im, S.H.[Sung-Hoon],
Ha, H.W.[Hyo-Won],
Choe, G.[Gyeongmin],
Jeon, H.G.[Hae-Gon],
Joo, K.,
Kweon, I.S.[In So],
Accurate 3D Reconstruction from Small Motion Clip for Rolling Shutter
Cameras,
PAMI(41), No. 4, April 2019, pp. 775-787.
IEEE DOI
1903
BibRef
Earlier:
High Quality Structure from Small Motion for Rolling Shutter Cameras,
ICCV15(837-845)
IEEE DOI
1602
Cameras, Bundle adjustment, Image reconstruction, Solid modeling,
Interpolation, Sensors, 3D reconstruction, geometry,
plane sweeping algorithm.
BibRef
Im, S.H.[Sung-Hoon],
Ha, H.W.[Hyo-Won],
Rameau, F.[François],
Jeon, H.G.[Hae-Gon],
Choe, G.[Gyeongmin],
Kweon, I.S.[In So],
All-Around Depth from Small Motion with a Spherical Panoramic Camera,
ECCV16(III: 156-172).
Springer DOI
1611
BibRef
Im, S.H.[Sung-Hoon],
Ha, H.W.[Hyo-Won],
Jeon, H.G.[Hae-Gon],
Lin, S.[Stephen],
Kweon, I.S.[In So],
Deep Depth from Uncalibrated Small Motion Clip,
PAMI(43), No. 4, April 2021, pp. 1225-1238.
IEEE DOI
2103
Cameras, Bundle adjustment, Geometry, Image reconstruction,
Estimation, Calibration, 3D reconstruction, geometry, deep learning,
plane sweeping algorithm
BibRef
Ha, H.W.[Hyo-Won],
Im, S.H.[Sung-Hoon],
Park, J.,
Jeon, H.G.[Hae-Gon],
Kweon, I.S.[In So],
High-Quality Depth from Uncalibrated Small Motion Clip,
CVPR16(5413-5421)
IEEE DOI
1612
BibRef
Im, S.H.[Sung-Hoon],
Choe, G.[Gyeongmin],
Jeon, H.G.[Hae-Gon],
Kweon, I.S.[In So],
Depth from accidental motion using geometry prior,
ICIP15(4160-4164)
IEEE DOI
1512
Depth propagation; Small baseline; Structure from motion
BibRef
Steiner, H.[Holger],
Sommerhoff, H.[Hendrik],
Bulczak, D.[David],
Jung, N.[Norbert],
Lambers, M.[Martin],
Kolb, A.[Andreas],
Fast motion estimation for field sequential imaging: Survey and
benchmark,
IVC(89), 2019, pp. 170-182.
Elsevier DOI
1909
Field sequential imaging, Motion estimation, Optical flow
BibRef
Zhuang, B.B.[Bing-Bing],
Tran, Q.H.[Quoc-Huy],
Ji, P.[Pan],
Cheong, L.F.[Loong-Fah],
Chandraker, M.[Manmohan],
Learning Structure-And-Motion-Aware Rolling Shutter Correction,
CVPR19(4546-4555).
IEEE DOI
2002
BibRef
Zhuang, B.,
Cheong, L.F.,
Lee, G.H.,
Rolling-Shutter-Aware Differential SfM and Image Rectification,
ICCV17(948-956)
IEEE DOI
1802
image motion analysis, image reconstruction, image sensors,
image sequences, pose estimation, GS camera model,
BibRef
Ito, E.,
Okatani, T.,
Self-Calibration-Based Approach to Critical Motion Sequences of
Rolling-Shutter Structure from Motion,
CVPR17(4512-4520)
IEEE DOI
1711
Cameras, Image sequences, Lenses, Nonlinear distortion, Standards
BibRef
Dai, Y.,
Li, H.,
Kneip, L.,
Rolling Shutter Camera Relative Pose: Generalized Epipolar Geometry,
CVPR16(4132-4140)
IEEE DOI
1612
BibRef
Saurer, O.,
Pollefeys, M.,
Lee, G.H.,
Sparse to Dense 3D Reconstruction from Rolling Shutter Images,
CVPR16(3337-3345)
IEEE DOI
1612
BibRef
Saurer, O.[Olivier],
Koser, K.[Kevin],
Bouguet, J.Y.[Jean-Yves],
Pollefeys, M.[Marc],
Rolling Shutter Stereo,
ICCV13(465-472)
IEEE DOI
1403
Rolling Shutter; Stereo. CMOS camera, line by line exposure.
Motion compensation is not enough, depth dependent so turn it into stereo.
BibRef
Albl, C.[Cenek],
Sugimoto, A.[Akihiro],
Pajdla, T.[Tomas],
Degeneracies in Rolling Shutter SfM,
ECCV16(V: 36-51).
Springer DOI
1611
BibRef
Kolev, K.[Kalin],
Tanskanen, P.[Petri],
Speciale, P.[Pablo],
Pollefeys, M.[Marc],
Turning Mobile Phones into 3D Scanners,
CVPR14(3946-3953)
IEEE DOI
1409
BibRef
Tanskanen, P.[Petri],
Kolev, K.[Kalin],
Meier, L.[Lorenz],
Camposeco, F.[Federico],
Saurer, O.[Olivier],
Pollefeys, M.[Marc],
Live Metric 3D Reconstruction on Mobile Phones,
ICCV13(65-72)
IEEE DOI
1403
BibRef
Ait-Aider, O.[Omar],
Berry, F.[Francois],
Structure and kinematics triangulation with a rolling shutter stereo
rig,
ICCV09(1835-1840).
IEEE DOI
0909
BibRef
Magerand, L.[Ludovic],
Bartoli, A.E.[Adrien E.],
A Generic Rolling Shutter Camera Model and its Application to Dynamic
Pose Estimation,
3DPVT10(xx-yy).
WWW Link.
1005
More general analysis.
BibRef
Magerand, L.[Ludovic],
Bartoli, A.E.[Adrien E.],
Ait-Aider, O.[Omar],
Pizarro, D.[Daniel],
Global Optimization of Object Pose and Motion from a Single Rolling
Shutter Image with Automatic 2D-3D Matching,
ECCV12(I: 456-469).
Springer DOI
1210
BibRef
Ait-Aider, O.[Omar],
Bartoli, A.E.[Adrien E.],
Andreff, N.[Nicolas],
Kinematics from Lines in a Single Rolling Shutter Image,
CVPR07(1-6).
IEEE DOI
0706
BibRef
Ait-Aider, O.[Omar],
Andreff, N.[Nicolas],
Lavest, J.M.[Jean Marc],
Martinet, P.[Philippe],
Simultaneous Object Pose and Velocity Computation Using a Single View
from a Rolling Shutter Camera,
ECCV06(II: 56-68).
Springer DOI
0608
BibRef
And:
Exploiting Rolling Shutter Distortions for Simultaneous Object Pose and
Velocity Computation Using a Single View,
CVS06(35).
IEEE DOI
0602
High speed motion and distortions on the sensor.
BibRef
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Non-Rigid Shape from Motion, Point Methods .