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
Li, Q.[Qing],
Wang, C.[Cheng],
Li, X.[Xin],
Wen, C.L.[Cheng-Lu],
FeatFlow: Learning geometric features for 3D motion estimation,
PR(111), 2021, pp. 107574.
Elsevier DOI
2012
Feature learning, Motion estimation, Point clouds, Scene flow,
Scan-matching, Ego-motion
BibRef
Zhou, G.,
Bao, X.,
Ye, S.,
Wang, H.,
Yan, H.,
Selection of Optimal Building Facade Texture Images From UAV-Based
Multiple Oblique Image Flows,
GeoRS(59), No. 2, February 2021, pp. 1534-1552.
IEEE DOI
2101
Solid modeling, Buildings, Urban areas, Cameras, Data models,
Unmanned aerial vehicles, Facades, image flow.
BibRef
Li, X.X.[Xiu-Xiu],
Liu, Y.J.[Yan-Juan],
Jin, H.Y.[Hai-Yan],
Zheng, J.B.[Jiang-Bin],
Cai, L.[Lei],
Automatic layered RGB-D scene flow estimation with optical flow field
constraint,
IET-IPR(14), No. 16, 19 December 2020, pp. 4092-4101.
DOI Link
2103
BibRef
Pontes, J.K.,
Hays, J.,
Lucey, S.,
Scene Flow from Point Clouds with or without Learning,
3DV20(261-270)
IEEE DOI
2102
Laplace equations,
Linear programming, Optical imaging, Annotations, Topology, Strain,
Laplacian
BibRef
Chen, Y.H.[Yu-Hua],
Van Gool, L.J.[Luc J.],
Schmid, C.[Cordelia],
Sminchisescu, C.[Cristian],
Consistency Guided Scene Flow Estimation,
ECCV20(VII:125-141).
Springer DOI
2011
BibRef
Li, X.T.[Xiang-Tai],
You, A.S.[An-Sheng],
Zhu, Z.[Zhen],
Zhao, H.L.[Hou-Long],
Yang, M.[Maoke],
Yang, K.Y.[Kui-Yuan],
Tan, S.H.[Shao-Hua],
Tong, Y.H.[Yun-Hai],
Semantic Flow for Fast and Accurate Scene Parsing,
ECCV20(I:775-793).
Springer DOI
2011
BibRef
Jeon, S.[Sangryul],
Min, D.B.[Dong-Bo],
Kim, S.[Seungryong],
Choe, J.[Jihwan],
Sohn, K.H.[Kwang-Hoon],
Guided Semantic Flow,
ECCV20(XXVIII:631-648).
Springer DOI
2011
BibRef
Boulch, A.[Alexandre],
Puy, G.[Gilles],
Marlet, R.[Renaud],
FKAConv: Feature-kernel Alignment for Point Cloud Convolution,
ACCV20(I:381-399).
Springer DOI
2103
BibRef
Puy, G.[Gilles],
Boulch, A.[Alexandre],
Marlet, R.[Renaud],
Flot: Scene Flow on Point Clouds Guided by Optimal Transport,
ECCV20(XXVIII:527-544).
Springer DOI
2011
BibRef
Wu, W.X.[Wen-Xuan],
Wang, Z.Y.[Zhi Yuan],
Li, Z.W.[Zhu-Wen],
Liu, W.[Wei],
Fuxin, L.[Li],
Pointpwc-net: Cost Volume on Point Clouds for (self-)supervised Scene
Flow Estimation,
ECCV20(V:88-107).
Springer DOI
2011
BibRef
Mittal, H.,
Okorn, B.,
Held, D.,
Just Go With the Flow: Self-Supervised Scene Flow Estimation,
CVPR20(11174-11182)
IEEE DOI
2008
Estimation, Training,
Autonomous vehicles, Supervised learning, Tracking, Adaptive optics
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.W.[Andrew W.],
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 .