19.9.3 Rolling Shutter and Shape from Motion

Chapter Contents (Back)
Motion, Structure. Shape from Motion. Rolling Shutter Camera.
See also Rolling Shutter Rectification, Alignment, Stabilization.

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.Z.[Yi-Zhen], 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
See also Rolling Shutter Homography and its Applications. 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.], 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
Award, ECCV, HM. 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

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

Fan, B.[Bin], Wang, K.[Ke], Dai, Y.C.[Yu-Chao], He, M.Y.[Ming-Yi],
RS-DPSNet: Deep Plane Sweep Network for Rolling Shutter Stereo Images,
SPLetters(28), 2021, pp. 1550-1554.
IEEE DOI 2108
Cameras, Feature extraction, Estimation, Solid modeling, Training, Signal processing algorithms, plane sweep BibRef

Fan, B.[Bin], Dai, Y.C.[Yu-Chao], Wang, K.[Ke],
Rolling-Shutter-stereo-aware motion estimation and image correction,
CVIU(213), 2021, pp. 103296.
Elsevier DOI 2112
Rolling shutter stereo, Differential epipolar constraint, Pose estimation, Image correction BibRef

Fan, B.[Bin], Dai, Y.C.[Yu-Chao], Zhang, Z.Y.[Zhi-Yuan], Wang, K.[Ke],
Differential SfM and image correction for a rolling shutter stereo rig,
IVC(124), 2022, pp. 104492.
Elsevier DOI 2208
Rolling shutter stereo rig, Differential SfM, Motion estimation, Image correction, 3D reconstruction BibRef


Bai, F.[Fang], Sengupta, A.[Agniva], Bartoli, A.[Adrien],
Scanline Homographies for Rolling-Shutter Plane Absolute Pose,
CVPR22(8983-8992)
IEEE DOI 2210
Photography, Geometry, Transmission line matrix methods, Codes, Pose estimation, Cameras, Computer vision theory, Pose estimation and tracking BibRef

Fan, B.[Bin], Dai, Y.C.[Yu-Chao], Zhang, Z.Y.[Zhi-Yuan], Liu, Q.[Qi], He, M.Y.[Ming-Yi],
Context-Aware Video Reconstruction for Rolling Shutter Cameras,
CVPR22(17551-17561)
IEEE DOI 2210
Visualization, Pipelines, Neural networks, Cameras, Motion compensation, Pattern recognition, Task analysis, Image and video synthesis and generation BibRef

Wang, K., Fan, B., Dai, Y.,
Relative Pose Estimation For Stereo Rolling Shutter Cameras,
ICIP20(463-467)
IEEE DOI 2011
Cameras, Pose estimation, Computational modeling, Gaussian noise, rolling shutter correction. 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

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

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 .


Last update:Mar 16, 2024 at 20:36:19