Gong, M.L.[Ming-Lun],
Real-time joint disparity and disparity flow estimation on programmable
graphics hardware,
CVIU(113), No. 1, January 2009, pp. 90-100.
Elsevier DOI
0812
Stereo vision; Motion estimation; 3D Scene flow; Disparity flow
BibRef
Basha, T.[Tali],
Moses, Y.[Yael],
Kiryati, N.[Nahum],
Multi-view Scene Flow Estimation: A View Centered Variational Approach,
IJCV(101), No. 1, January 2013, pp. 6-21.
WWW Link.
1302
BibRef
Earlier:
CVPR10(1506-1513).
IEEE DOI
1006
BibRef
Popham, T.[Thomas],
Bhalerao, A.[Abhir],
Wilson, R.G.[Roland G.],
Estimating scene flow using an interconnected patch surface model
with belief-propagation inference,
CVIU(121), No. 1, 2014, pp. 74-85.
Elsevier DOI
1404
Motion
BibRef
Bakkay, M.C.[Mohamed Chafik],
Zagrouba, E.[Ezzeddine],
Spatio-temporal filter for dense real-time Scene Flow estimation of
dynamic environments using a moving RGB-D camera,
PRL(59), No. 1, 2015, pp. 33-40.
Elsevier DOI
1505
Scene Flow
BibRef
Wang, Y.C.[Yu-Cheng],
Zhang, J.[Jian],
Liu, Z.C.[Zi-Cheng],
Wu, Q.A.[Qi-Ang],
Chou, P.A.[Philip A.],
Zhang, Z.Y.[Zheng-You],
Jia, Y.D.[Yun-De],
Handling Occlusion and Large Displacement Through Improved RGB-D
Scene Flow Estimation,
CirSysVideo(26), No. 7, July 2016, pp. 1265-1278.
IEEE DOI
1608
BibRef
Earlier:
Completed Dense Scene Flow in RGB-D Space,
BD3DCV14(191-205).
Springer DOI
1504
computational complexity
BibRef
Zou, C.[Cheng],
He, B.[Bingwei],
Zhang, L.W.[Li-Wei],
Zhang, J.W.[Jian-Wei],
Scene flow for 3D laser scanner and camera system,
IET-IPR(12), No. 4, April 2018, pp. 612-618.
DOI Link
1804
BibRef
Zou, C.[Cheng],
He, B.W.[Bing-Wei],
Zhu, M.Z.[Ming-Zhu],
Zhang, L.W.[Li-Wei],
Zhang, J.W.[Jian-Wei],
Learning motion field of LiDAR point cloud with convolutional
networks,
PRL(125), 2019, pp. 514-520.
Elsevier DOI
1909
Motion field, CNNs, LiDAR
BibRef
Zou, C.[Cheng],
He, B.[Bingwei],
Zhang, L.[Liwei],
Zhang, J.W.[Jian-Wei],
Static map reconstruction and dynamic object tracking for a camera and
laser scanner system,
IET-CV(12), No. 4, June 2018, pp. 384-392.
DOI Link
1805
BibRef
Lv, Z.Y.[Zhao-Yang],
Kim, K.[Kihwan],
Troccoli, A.[Alejandro],
Sun, D.Q.[De-Qing],
Rehg, J.M.[James M.],
Kautz, J.[Jan],
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion
Field Estimation,
ECCV18(VI: 484-501).
Springer DOI
1810
BibRef
Navarro, J.[Julia],
Buades, A.[Antoni],
Semi-dense and robust image registration by shift adapted weighted
aggregation and variational completion,
IVC(89), 2019, pp. 258-275.
Elsevier DOI
1909
Image correspondences, Stereo, Optical flow, Block-matching, Interpolation
BibRef
Navarro, J.,
Garamendi, J.F.,
Variational scene flow and occlusion detection from a light field
sequence,
WSSIP16(1-4)
IEEE DOI
1608
cameras
BibRef
Zou, C.[Cheng],
He, B.W.[Bing-Wei],
Zhu, M.Z.[Ming-Zhu],
Zhang, L.W.[Li-Wei],
Zhang, J.W.[Jian-Wei],
Scene flow estimation by depth map upsampling and layer assignment
for camera-LiDAR system,
JVCIR(64), 2019, pp. 102616.
Elsevier DOI
1911
3D scene flow, Sensor fusion, Depth map upsampling
BibRef
Schuster, R.[René],
Wasenmüller, O.[Oliver],
Unger, C.[Christian],
Kuschk, G.[Georg],
Stricker, D.[Didier],
SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and
Robust Interpolation for Scene Flow Estimation,
IJCV(128), No. 2, February 2020, pp. 527-546.
Springer DOI
2002
BibRef
Ma, S.[Sizhuo],
Smith, B.M.[Brandon M.],
Gupta, M.[Mohit],
Differential Scene Flow from Light Field Gradients,
IJCV(128), No. 3, March 2020, pp. 679-697.
Springer DOI
2003
BibRef
Earlier:
3D Scene Flow from 4D Light Field Gradients,
ECCV18(VIII: 681-698).
Springer DOI
1810
BibRef
Liu, J.J.[Jia-Jie],
Li, H.[Han],
Wu, R.H.[Rui-Hong],
Zhao, Q.Y.[Qing-Yun],
Guo, Y.Y.[Yi-You],
Chen, L.[Long],
A survey on deep learning methods for scene flow estimation,
PR(106), 2020, pp. 107378.
Elsevier DOI
2006
Scene flow, Optical flow, Depth estimation, Deep learning
BibRef
Yang, G.,
Ramanan, D.,
Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion,
CVPR20(1331-1340)
IEEE DOI
2008
Optical imaging, Cameras,
Optical sensors, Optical variables control,
Two dimensional displays
BibRef
Wang, Z.,
Li, S.,
Howard-Jenkins, H.,
Prisacariu, V.A.,
Chen, M.,
FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation,
WACV20(91-98)
IEEE DOI
2006
Estimation, Feature extraction, Benchmark testing, Measurement, Training
BibRef
Rangel, J.,
Schmoll, R.,
Kroll, A.,
On Scene Flow Computation of GAS Structures with Optical GAS Imaging
Cameras,
WACV20(174-182)
IEEE DOI
2006
Cameras, Optical imaging, Estimation,
Optical variables control, Velocity measurement, Temperature measurement
BibRef
Jiang, H.,
Sun, D.,
Jampani, V.,
Lv, Z.,
Learned-Miller, E.,
Kautz, J.,
SENSE: A Shared Encoder Network for Scene-Flow Estimation,
ICCV19(3194-3203)
IEEE DOI
2004
image representation, image segmentation, image sequences,
learning (artificial intelligence), motion estimation, Decoding
BibRef
Brickwedde, F.,
Abraham, S.,
Mester, R.,
Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular
Scene Flow Estimation of Dynamic Traffic Scenes,
ICCV19(2780-2790)
IEEE DOI
2004
calibration, convolutional neural nets, geometry, Task analysis,
image motion analysis, image reconstruction, image segmentation.
BibRef
Qi, X.J.[Xiao-Juan],
Liu, Z.[Zhengzhe],
Chen, Q.[Qifeng],
Jia, J.Y.[Jia-Ya],
3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis,
CVPR19(7665-7674).
IEEE DOI
2002
BibRef
Behl, A.[Aseem],
Paschalidou, D.[Despoina],
Donne, S.[Simon],
Geiger, A.[Andreas],
PointFlowNet: Learning Representations for Rigid Motion Estimation From
Point Clouds,
CVPR19(7954-7963).
IEEE DOI
2002
BibRef
Liu, X.Y.[Xing-Yu],
Qi, C.R.[Charles R.],
Guibas, L.J.[Leonidas J.],
FlowNet3D: Learning Scene Flow in 3D Point Clouds,
CVPR19(529-537).
IEEE DOI
2002
BibRef
Gu, X.[Xiuye],
Wang, Y.[Yijie],
Wu, C.R.[Chong-Ruo],
Lee, Y.J.[Yong Jae],
Wang, P.Q.[Pan-Qu],
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow
Estimation on Large-Scale Point Clouds,
CVPR19(3249-3258).
IEEE DOI
2002
BibRef
Ma, W.C.[Wei-Chiu],
Wang, S.L.[Shen-Long],
Hu, R.[Rui],
Xiong, Y.[Yuwen],
Urtasun, R.[Raquel],
Deep Rigid Instance Scene Flow,
CVPR19(3609-3617).
IEEE DOI
2002
BibRef
Richardt, C.,
Kim, H.,
Valgaerts, L.,
Theobalt, C.,
Dense Wide-Baseline Scene Flow from Two Handheld Video Cameras,
3DV16(276-285)
IEEE DOI
1701
image reconstruction
BibRef
Lv, Z.Y.[Zhao-Yang],
Beall, C.[Chris],
Alcantarilla, P.F.[Pablo F.],
Li, F.[Fuxin],
Kira, Z.[Zsolt],
Dellaert, F.[Frank],
A Continuous Optimization Approach for Efficient and Accurate Scene
Flow,
ECCV16(VIII: 757-773).
Springer DOI
1611
BibRef
Li, F.[Francis],
Wong, A.[Alexander],
Zelek, J.S.[John S.],
Hierarchical Grouping Approach for Fast Approximate RGB-D Scene Flow,
CRV16(140-147)
IEEE DOI
1612
RGB-D;scene flow;spectral clustering
BibRef
Srinivasan, P.P.[Pratul P.],
Tao, M.W.[Michael W.],
Ng, R.[Ren],
Ramamoorthi, R.[Ravi],
Oriented Light-Field Windows for Scene Flow,
ICCV15(3496-3504)
IEEE DOI
1602
Generalized optical flow.
BibRef
Sun, D.Q.[De-Qing],
Sudderth, E.B.[Erik B.],
Pfister, H.[Hanspeter],
Layered RGBD scene flow estimation,
CVPR15(548-556)
IEEE DOI
1510
BibRef
Alhaija, H.A.[Hassan Abu],
Sellent, A.[Anita],
Kondermann, D.[Daniel],
Rother, C.[Carsten],
GraphFlow: 6D Large Displacement Scene Flow via Graph Matching,
GCPR15(285-296).
Springer DOI
1511
BibRef
Zanfir, A.,
Sminchisescu, C.,
Large Displacement 3D Scene Flow with Occlusion Reasoning,
ICCV15(4417-4425)
IEEE DOI
1602
Adaptive optics
BibRef
Ferstl, D.[David],
Reinbacher, C.[Christian],
Riegler, G.[Gernot],
Ruther, M.[Matthias],
Bischof, H.[Horst],
aTGV-SF: Dense Variational Scene Flow through Projective Warping and
Higher Order Regularization,
3DV14(285-292)
IEEE DOI
1503
Cameras
BibRef
Roh, J.[Junha],
Lim, H.[Hwasup],
Ahn, S.C.[Sang Chul],
A Fast TGV-l1 RGB-D Flow Estimation,
ISVC14(I: 151-161).
Springer DOI
1501
BibRef
Hornacek, M.[Michael],
Fitzgibbon, A.[Andrew],
Rother, C.[Carsten],
SphereFlow: 6 DoF Scene Flow from RGB-D Pairs,
CVPR14(3526-3533)
IEEE DOI
1409
BibRef
Ferstl, D.[David],
Riegler, G.[Gernot],
Ruther, M.[Matthias],
Bischof, H.[Horst],
CP-Census: A Novel Model for Dense Variational Scene Flow from RGB-D
Data,
BMVC14(xx-yy).
HTML Version.
1410
BibRef
Maier, R.[Robert],
Sturm, J.[Jürgen],
Cremers, D.[Daniel],
Submap-Based Bundle Adjustment for 3D Reconstruction from RGB-D Data,
GCPR14(54-65).
Springer DOI
1411
See also Graph Based Bundle Adjustment for INS-Camera Calibration, A.
BibRef
Steinbrucker, F.[Frank],
Sturm, J.[Jurgen],
Cremers, D.[Daniel],
Real-time visual odometry from dense RGB-D images,
Dense11(719-722).
IEEE DOI
1201
BibRef
Zhang, X.W.[Xiao-Wei],
Chen, D.P.[Da-Peng],
Yuan, Z.J.[Ze-Jian],
Zheng, N.N.[Nan-Ning],
Dense Scene Flow Based on Depth and Multi-channel Bilateral Filter,
ACCV12(III:140-151).
Springer DOI
1304
BibRef
Letouzey, A.[Antoine],
Petit, B.[Benjamin],
Boyer, E.[Edmond],
Scene Flow from Depth and Color Images,
BMVC11(xx-yy).
HTML Version.
1110
BibRef
Cech, J.[Jan],
Sanchez-Riera, J.[Jordi],
Horaud, R.[Radu],
Scene flow estimation by growing correspondence seeds,
CVPR11(3129-3136).
IEEE DOI
1106
Flow in stereo
See also Topologically-robust 3D shape matching based on diffusion geometry and seed growing.
BibRef
Chapter on Optical Flow Field Computations and Use continues in
Error Analysis, Evaluation for Optical Flow .