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.
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2012
BibRef
Karatsiolis, S.[Savvas],
Kamilaris, A.[Andreas],
Cole, I.[Ian],
IMG2nDSM: Height Estimation from Single Airborne RGB Images with Deep
Learning,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Zhang, Y.F.[Yu-Feng],
Ding, L.H.[Liang-Hui],
Li, Y.X.[Yu-Xi],
Lin, W.Y.[Wei-Yao],
Zhao, M.B.[Ming-Bi],
Yu, X.Y.[Xiao-Yuan],
Zhan, Y.L.[Yun-Long],
A regional distance regression network for monocular object distance
estimation,
JVCIR(79), 2021, pp. 103224.
Elsevier DOI
2109
Monocular distance estimation, Object detection,
Deep neural network, Surveillance
BibRef
Lee, J.H.[Jae-Han],
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Single-Image Depth Estimation Using Relative Depths,
JVCIR(84), 2022, pp. 103459.
Elsevier DOI
2204
Monocular depth estimation, Relative depth, 3D analysis
BibRef
Li, Y.[Yang],
Tu, Y.C.[Yu-Cheng],
Chen, X.X.[Xiao-Xue],
Zhao, H.[Hao],
Zhou, G.[Guyue],
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IP(31), 2022, pp. 5661-5676.
IEEE DOI
2209
Task analysis, Transformers, Decoding, Legged locomotion,
Visualization, Feature extraction, Semantics, Focused attention,
visualizations of attention weights
BibRef
Xu, X.Y.[Xiao-Yu],
Qiu, J.Y.[Jia-Yan],
Wang, X.C.[Xin-Chao],
Wang, Z.[Zhou],
Relationship Spatialization for Depth Estimation,
ECCV22(XXXVII:615-637).
Springer DOI
2211
BibRef
Lee, H.[Hyunmin],
Park, J.[Jaesik],
Instance-wise Occlusion and Depth Orders in Natural Scenes,
CVPR22(21178-21189)
IEEE DOI
2210
Annotations, Cameras, Pattern recognition, Datasets and evaluation,
3D from single images, Scene analysis and understanding
BibRef
Kim, S.Y.[Soo Ye],
Zhang, J.M.[Jian-Ming],
Niklaus, S.[Simon],
Fan, Y.F.[Yi-Fei],
Chen, S.[Simon],
Lin, Z.[Zhe],
Kim, M.C.[Mun-Churl],
Layered Depth Refinement with Mask Guidance,
CVPR22(3845-3855)
IEEE DOI
2210
Image segmentation, Refining, Estimation, Self-supervised learning,
Predictive models, 3D from single images, Low-level vision
BibRef
Feng, P.[Panhe],
She, Q.[Qi],
Zhu, L.[Lei],
Li, J.X.[Jia-Xin],
Zhang, L.[Lin],
Feng, Z.J.[Zi-Jian],
Wang, C.H.[Chang-Hu],
Li, C.P.[Chun-Peng],
Kang, X.J.[Xue-Jing],
Ming, A.[Anlong],
MT-ORL: Multi-Task Occlusion Relationship Learning,
ICCV21(9344-9353)
IEEE DOI
2203
Couplings, Codes, Computer architecture, Feature extraction,
Multitasking, Decoding, Vision applications and systems
BibRef
Fei, X.H.[Xiao-Han],
Wang, H.[Henry],
Cheong, L.L.[Lin Lee],
Zeng, X.Y.[Xiang-Yu],
Wang, M.[Meng],
Tighe, J.[Joseph],
Single View Physical Distance Estimation using Human Pose,
ICCV21(12386-12396)
IEEE DOI
2203
System performance, Estimation, Cameras, Social factors,
Sensor systems, Production facilities, Calibration,
Vision for robotics and autonomous vehicles
BibRef
Bhattacharjee, D.[Deblina],
Everaert, M.[Martin],
Salzmann, M.[Mathieu],
Süsstrunk, S.[Sabine],
Estimating Image Depth in the Comics Domain,
WACV22(1111-1120)
IEEE DOI
2202
Laplace equations, Annotations, Semantics,
Benchmark testing, Animation, Noise measurement,
Semi- and Un- supervised Learning
BibRef
Bhat, S.F.[Shariq Farooq],
Alhashim, I.[Ibraheem],
Wonka, P.[Peter],
AdaBins: Depth Estimation Using Adaptive Bins,
CVPR21(4008-4017)
IEEE DOI
2111
Measurement, Image segmentation,
Image resolution, Estimation, Computer architecture, Transformers
BibRef
Zhang, C.[Cheng],
Cui, Z.P.[Zhao-Peng],
Zhang, Y.[Yinda],
Zeng, B.[Bing],
Pollefeys, M.[Marc],
Liu, S.C.[Shuai-Cheng],
Holistic 3D Scene Understanding from a Single Image with Implicit
Representation,
CVPR21(8829-8838)
IEEE DOI
2111
Solid modeling, Shape, Layout, Pipelines,
Estimation, Object detection
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 .