17.3.1 Scene Flow, Depth Image Flow, RGB-D

Chapter Contents (Back)
Scene Flow. RGB-D.

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


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

Navarro, J., Garamendi, J.F.,
Variational scene flow and occlusion detection from a light field sequence,
WSSIP16(1-4)
IEEE DOI 1608
cameras 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.[Zejian], 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 .


Last update:Jul 15, 2017 at 20:56:55