9.8.1.2 Depth Ordering, Single View 3D Reconstruction

Chapter Contents (Back)
Single View. Depth Ordering.

Tweed, D.S., Calway, A.D.,
Integrated Segmentation and Depth Ordering of Motion Layers in Image Sequences,
IVC(20), No. 9-10, August 2002, pp. 709-723.
Elsevier DOI 0208
BibRef
Earlier: BMVC00(xx-yy).
PDF File. 0009
BibRef
And:
Moving Object Graphs and Layer Extraction from Image Sequences,
BMVC01(Poster Session 1. ).
HTML Version. University of Bristol 0110
BibRef

Benois-Pineau, J.[Jenny], Nicolas, H.[Henri],
A New Method for Region-Based Depth Ordering in a Video Sequence: Application to Frame Interpolation,
JVCIR(13), No. 3, September 2002, pp. 363-385.
DOI Link 0208
BibRef

Feldman, D.[Doron], Weinshall, D.[Daphna],
Motion Segmentation and Depth Ordering Using an Occlusion Detector,
PAMI(30), No. 7, July 2008, pp. 1171-1185.
IEEE DOI 0806
BibRef
Earlier:
Motion Segmentation Using an Occlusion Detector,
WDV06(34-47).
Springer DOI 0705
BibRef

Palou, G.[Guillem], Salembier, P.[Philippe],
Monocular Depth Ordering Using T-Junctions and Convexity Occlusion Cues,
IP(22), No. 5, May 2013, pp. 1926-1939.
IEEE DOI 1303
BibRef
Earlier:
2.1 Depth Estimation of Frames in Image Sequences Using Motion Occlusions,
QU3ST12(III: 516-525).
Springer DOI 1210
BibRef

Palou, G.[Guillem], Salembier, P.[Philippe],
Depth order estimation for video frames using motion occlusions,
IET-CV(8), No. 2, April 2014, pp. 152-160.
DOI Link 1407
BibRef
Earlier:
Depth ordering on image sequences using motion occlusions,
ICIP12(1217-1220).
IEEE DOI 1302
image motion analysis BibRef

Palou, G.[Guillem], Salembier, P.[Philippe],
Hierarchical Video Representation with Trajectory Binary Partition Tree,
CVPR13(2099-2106)
IEEE DOI 1309
BibRef

Morel, J.M.[Jean-Michel], Salembier, P.[Philippe],
Monocular Depth by Nonlinear Diffusion,
ICCVGIP08(95-102).
IEEE DOI 0812
Line junctions, local convexity. BibRef

Amer, M.R.[Mohamed R.], Yousefi, S.[Siavash], Raich, R.[Raviv], Todorovic, S.[Sinisa],
Monocular Extraction of 2.1D Sketch Using Constrained Convex Optimization,
IJCV(112), No. 1, March 2015, pp. 23-42.
Springer DOI 1503
Depth ordering. BibRef

Ming, A., Wu, T., Ma, J., Sun, F., Zhou, Y.,
Monocular Depth-Ordering Reasoning with Occlusion Edge Detection and Couple Layers Inference,
IEEE_Int_Sys(31), No. 2, March 2016, pp. 54-65.
IEEE DOI 1604
Feature extraction BibRef

Wu, K.W.[Ke-Wei], Gao, Y.[Yang], Ma, H.L.[Hai-Long], Sun, Y.X.[Yong-Xuan], Yao, T.T.[Ting-Ting], Xie, Z.[Zhao],
A deep generative directed network for scene depth ordering,
JVCIR(58), 2019, pp. 554-564.
Elsevier DOI 1901
Deep generative directed-network, Depth ordering, Hidden Markov field, DenseNet
See also Densely Connected Convolutional Networks. BibRef

Mao, J.F.[Jia-Fa], Huang, W.[Wei], Sheng, W.G.[Wei-Guo],
Target distance measurement method using monocular vision,
IET-IPR(14), No. 13, November 2020, pp. 3181-3187.
DOI Link 2012
BibRef


Mertan, A., Sahin, Y.H., Duff, D.J., Unal, G.,
A New Distributional Ranking Loss With Uncertainty: Illustrated in Relative Depth Estimation,
3DV20(1079-1088)
IEEE DOI 2102
Estimation, Uncertainty, Mathematical model, Task analysis, Neural networks, Training, Standards BibRef

Lee, J.H.[Jae-Han], Kim, C.S.[Chang-Su],
Multi-loss Rebalancing Algorithm for Monocular Depth Estimation,
ECCV20(XVII:785-801).
Springer DOI 2011
BibRef

Nishimura, M.[Mark], Lindell, D.B.[David B.], Metzler, C.[Christopher], Wetzstein, G.[Gordon],
Disambiguating Monocular Depth Estimation with a Single Transient,
ECCV20(XXI:139-155).
Springer DOI 2011
BibRef

Klokov, R.[Roman], Boyer, E.[Edmond], Verbeek, J.[Jakob],
Discrete Point Flow Networks for Efficient Point Cloud Generation,
ECCV20(XXIII:694-710).
Springer DOI 2011
Generate the point cloud. BibRef

Popov, S.[Stefan], Bauszat, P.[Pablo], Ferrari, V.[Vittorio],
Corenet: Coherent 3d Scene Reconstruction from a Single RGB Image,
ECCV20(II:366-383).
Springer DOI 2011
BibRef

Watson, J.[Jamie], Aodha, O.M.[Oisin Mac], Turmukhambetov, D.[Daniyar], Brostow, G.J.[Gabriel J.], Firman, M.[Michael],
Learning Stereo from Single Images,
ECCV20(I:722-740).
Springer DOI 2011
BibRef

Zhou, Y., Ma, J., Ming, A., Bai, X.,
Learning Training Samples for Occlusion Edge Detection and Its Application in Depth Ordering Inference,
ICPR18(541-546)
IEEE DOI 1812
Training, Image edge detection, Optimization, Logistics, Task analysis, Frequency modulation, Encoding BibRef

Zhang, Z.Y.[Zi-Yu], Schwing, A.G.[Alexander G.], Fidler, S.[Sanja], Urtasun, R.[Raquel],
Monocular Object Instance Segmentation and Depth Ordering with CNNs,
ICCV15(2614-2622)
IEEE DOI 1602
Automobiles BibRef

Visa, G.P.[Guillem Palou], Salembier, P.[Philippe],
Precision-Recall-Classification Evaluation Framework: Application to Depth Estimation on Single Images,
ECCV14(I: 648-662).
Springer DOI 1408
depth ordering on single images. Segment then order. BibRef

Ming, A.[Anlong], Xun, B.F.[Bao-Feng], Ni, J.[Jia], Gao, M.F.[Ming-Fei], Zhou, Y.[Yu],
Learning discriminative occlusion feature for depth ordering inference on monocular image,
ICIP15(2525-2529)
IEEE DOI 1512
depth order inference; feature selection; occlusion edge BibRef

Kowdle, A.[Adarsh], Gallagher, A.C.[Andrew C.], Chen, T.H.[Tsu-Han],
Revisiting Depth Layers from Occlusions,
CVPR13(2091-2098)
IEEE DOI 1309
Image-based modeling; scene understanding; segmentation. Moving object in scene gives pairwise depth ordering. Integrate over time. BibRef

Turetken, E.[Engin], Alatan, A.A.[A. Aydin],
Temporally consistent layer depth ordering via pixel voting for pseudo 3D representation,
3DTV09(1-4).
IEEE DOI 0905
BibRef

Malik, J.,
Visual grouping and object recognition,
CIAP01(612-621).
IEEE DOI 0210
BibRef

Yu, S.X.[Stella X.], Zhang, H.[Hao], Malik, J.[Jitendra],
Inferring spatial layout from a single image via depth-ordered grouping,
Tensor08(1-7).
IEEE DOI 0806
BibRef

Yu, S.X.[Stella X.],
Segmentation Induced by Scale Invariance,
CVPR05(I: 444-451).
IEEE DOI 0507
BibRef
Earlier:
Segmentation using multiscale cues,
CVPR04(I: 247-254).
IEEE DOI 0408
handle texture and contours through scales. BibRef

Yu, S.X.[Stella X.], and Shi, J.B.[Jian-Bo],
Understanding Popout through Repulsion,
CVPR01(II:752-757).
IEEE DOI 0110
BibRef
And:
Understanding Popout: Pre-attentive Segmentation through Nondirectional Repulsion,
CMU-RI-TR-01-20, July, 2001.
PDF File. 0205
BibRef
And:
Perceiving Shapes through Region and Boundary Interaction,
CMU-RI-TR-01-21, July, 2001.
PDF File. 0205
BibRef

Chapter on 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings continues in
Three-Dimensional Reconstruction from Different Views .


Last update:May 2, 2021 at 12:04:43