Choi, S.H.[Sung-Hwan],
Min, D.B.[Dong-Bo],
Ham, B.[Bumsub],
Kim, Y.J.[Young-Jung],
Oh, C.[Changjae],
Sohn, K.H.[Kwang-Hoon],
Depth Analogy: Data-Driven Approach for Single Image Depth Estimation
Using Gradient Samples,
IP(24), No. 12, December 2015, pp. 5953-5966.
IEEE DOI
1512
Poisson distribution
BibRef
Kim, Y.J.[Young-Jung],
Min, D.B.[Dong-Bo],
Ham, B.[Bumsub],
Sohn, K.H.[Kwang-Hoon],
Fast Domain Decomposition for Global Image Smoothing,
IP(26), No. 8, August 2017, pp. 4079-4091.
IEEE DOI
1707
concave programming, decomposition,
least squares approximations, minimisation,
computational photography application,
edge-preserving smoothing,
BibRef
Kim, Y.J.[Young-Jung],
Jung, H.,
Min, D.B.[Dong-Bo],
Sohn, K.H.[Kwang-Hoon],
Deeply Aggregated Alternating Minimization for Image Restoration,
CVPR17(284-292)
IEEE DOI
1711
Algorithm design and analysis, Data models, Image reconstruction,
Image restoration, Minimization, Neural networks, Optimization
BibRef
Kim, S.[Sunok],
Choi, S.H.[Sung-Hwan],
Sohn, K.H.[Kwang-Hoon],
Learning depth from a single image using visual-depth words,
ICIP15(1895-1899)
IEEE DOI
1512
K-means clustering
BibRef
Kim, Y.J.[Young-Jung],
Choi, S.H.[Sung-Hwan],
Sohn, K.H.[Kwang-Hoon],
Data-driven single image depth estimation using weighted median
statistics,
ICIP14(3808-3812)
IEEE DOI
1502
Based on matches to similar images.
Wrong section, one of several, learn patterns from other images, apply.
BibRef
Herrera, J.L.[Jose L.],
del-Bianco, C.R.[Carlos R.],
García, N.[Narciso],
Automatic Depth Extraction from 2D Images Using a Cluster-Based
Learning Framework,
IP(27), No. 7, July 2018, pp. 3288-3299.
IEEE DOI
1805
BibRef
Earlier:
Learning 3D structure from 2D images using LBP features,
ICIP14(2022-2025)
IEEE DOI
1502
feature extraction, image colour analysis, image convertors,
image filtering, image representation, image segmentation,
machine learning
BibRef
Herrera, J.L.[Jose L.],
Konrad, J.[Janusz],
del-Bianco, C.R.[Carlos R.],
Garcia, N.[Narciso],
Learning-based depth estimation from 2D images using GIST and
saliency,
ICIP15(4753-4757)
IEEE DOI
1512
2D-to-3D Image Conversion; Depth maps; GIST Descriptor; Saliency.
Color
BibRef
Zhang, Z.,
Xu, C.,
Yang, J.,
Gao, J.,
Cui, Z.,
Progressive Hard-Mining Network for Monocular Depth Estimation,
IP(27), No. 8, August 2018, pp. 3691-3702.
IEEE DOI
1806
computer vision, data mining, estimation theory,
feature extraction, image colour analysis, image resolution,
recursive learning
BibRef
He, L.,
Wang, G.,
Hu, Z.,
Learning Depth From Single Images With Deep Neural Network Embedding
Focal Length,
IP(27), No. 9, September 2018, pp. 4676-4689.
IEEE DOI
1807
Markov processes, image processing,
learning (artificial intelligence), neural nets,
single images
BibRef
Ren, X.Y.[Xiao-Yuan],
Jiang, L.B.[Li-Bing],
Tang, X.A.[Xiao-An],
Zhang, J.[Junda],
Single-Image 3D Pose Estimation for Texture-Less Object via Symmetric
Prior,
IEICE(E101-D), No. 7, July 2018, pp. 1972-1975.
WWW Link.
1807
BibRef
Bostan, E.,
Kamilov, U.S.,
Waller, L.,
Learning-Based Image Reconstruction via Parallel Proximal Algorithm,
SPLetters(25), No. 7, July 2018, pp. 989-993.
IEEE DOI
1807
image reconstruction, iterative methods,
learning (artificial intelligence), parallel algorithms,
statistical modeling
BibRef
Zhang, Z.Y.[Zhen-Yu],
Xu, C.Y.[Chun-Yan],
Yang, J.[Jian],
Tai, Y.[Ying],
Chen, L.[Liang],
Deep hierarchical guidance and regularization learning for end-to-end
depth estimation,
PR(83), 2018, pp. 430-442.
Elsevier DOI
1808
Depth estimation, Multi-regularization, Deep neural network
BibRef
Hou, B.,
Khanal, B.,
Alansary, A.,
McDonagh, S.,
Davidson, A.,
Rutherford, M.,
Hajnal, J.V.,
Rueckert, D.,
Glocker, B.,
Kainz, B.,
3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily
Oriented 2-D Images,
MedImg(37), No. 8, August 2018, pp. 1737-1750.
IEEE DOI
1808
Image reconstruction, Manuals, Robustness, image registration
BibRef
Jiang, L.[Li],
Shi, S.[Shaoshuai],
Qi, X.J.[Xiao-Juan],
Jia, J.Y.[Jia-Ya],
GAL: Geometric Adversarial Loss for Single-View 3D-Object
Reconstruction,
ECCV18(VIII: 820-834).
Springer DOI
1810
BibRef
de La Garanderie, G.P.[Grégoire Payen],
Abarghouei, A.A.[Amir Atapour],
Breckon, T.P.[Toby P.],
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular
Depth Estimation to 360° Panoramic Imagery,
ECCV18(XIII: 812-830).
Springer DOI
1810
BibRef
Clark, R.[Ronald],
Bloesch, M.[Michael],
Czarnowski, J.[Jan],
Leutenegger, S.[Stefan],
Davison, A.J.[Andrew J.],
Learning to Solve Nonlinear Least Squares for Monocular Stereo,
ECCV18(VIII: 291-306).
Springer DOI
1810
BibRef
Heo, M.[Minhyeok],
Lee, J.[Jaehan],
Kim, K.R.[Kyung-Rae],
Kim, H.U.[Han-Ul],
Kim, C.S.[Chang-Su],
Monocular Depth Estimation Using Whole Strip Masking and
Reliability-Based Refinement,
ECCV18(II: 39-55).
Springer DOI
1810
BibRef
Zhong, Y.R.[Yi-Ran],
Dai, Y.C.[Yu-Chao],
Li, H.D.[Hong-Dong],
Stereo Computation for a Single Mixture Image,
ECCV18(IX: 441-456).
Springer DOI
1810
BibRef
Huang, S.Y.[Si-Yuan],
Qi, S.Y.[Si-Yuan],
Zhu, Y.X.[Yi-Xin],
Xiao, Y.[Yinxue],
Xu, Y.[Yuanlu],
Zhu, S.C.[Song-Chun],
Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image,
ECCV18(VII: 194-211).
Springer DOI
1810
BibRef
Yang, F.T.[Feng-Ting],
Zhou, Z.[Zihan],
Recovering 3D Planes from a Single Image via Convolutional Neural
Networks,
ECCV18(X: 87-103).
Springer DOI
1810
BibRef
Jiao, J.B.[Jian-Bo],
Cao, Y.[Ying],
Song, Y.B.[Yi-Bing],
Lau, R.[Rynson],
Look Deeper into Depth: Monocular Depth Estimation with Semantic
Booster and Attention-Driven Loss,
ECCV18(XV: 55-71).
Springer DOI
1810
BibRef
Guo, X.Y.[Xiao-Yang],
Li, H.S.[Hong-Sheng],
Yi, S.[Shuai],
Ren, J.[Jimmy],
Wang, X.G.[Xiao-Gang],
Learning Monocular Depth by Distilling Cross-Domain Stereo Networks,
ECCV18(XI: 506-523).
Springer DOI
1810
BibRef
Wang, N.Y.[Nan-Yang],
Zhang, Y.[Yinda],
Li, Z.W.[Zhu-Wen],
Fu, Y.W.[Yan-Wei],
Liu, W.[Wei],
Jiang, Y.G.[Yu-Gang],
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images,
ECCV18(XI: 55-71).
Springer DOI
1810
BibRef
Gan, Y.K.[Yu-Kang],
Xu, X.Y.[Xiang-Yu],
Sun, W.X.[Wen-Xiu],
Lin, L.[Liang],
Monocular Depth Estimation with Affinity, Vertical Pooling, and Label
Enhancement,
ECCV18(III: 232-247).
Springer DOI
1810
BibRef
Zheng, C.X.[Chuan-Xia],
Cham, T.J.[Tat-Jen],
Cai, J.F.[Jian-Fei],
T2Net: Synthetic-to-Realistic Translation for Solving Single-Image
Depth Estimation Tasks,
ECCV18(VII: 798-814).
Springer DOI
1810
BibRef
Yang, G.[Guandao],
Cui, Y.[Yin],
Belongie, S.[Serge],
Hariharan, B.[Bharath],
Learning Single-View 3D Reconstruction with Limited Pose Supervision,
ECCV18(XV: 90-105).
Springer DOI
1810
BibRef
Wu, J.J.[Jia-Jun],
Zhang, C.K.[Cheng-Kai],
Zhang, X.M.[Xiu-Ming],
Zhang, Z.T.[Zhou-Tong],
Freeman, W.T.[William T.],
Tenenbaum, J.B.[Joshua B.],
Learning Shape Priors for Single-View 3D Completion And Reconstruction,
ECCV18(XI: 673-691).
Springer DOI
1810
BibRef
Jayaraman, D.[Dinesh],
Gao, R.[Ruohan],
Grauman, K.[Kristen],
ShapeCodes: Self-supervised Feature Learning by Lifting Views to
Viewgrids,
ECCV18(XVI: 126-144).
Springer DOI
1810
BibRef
Cheng, X.J.[Xin-Jing],
Wang, P.[Peng],
Yang, R.G.[Rui-Gang],
Depth Estimation via Affinity Learned with Convolutional Spatial
Propagation Network,
ECCV18(XVI: 108-125).
Springer DOI
1810
BibRef
Carvalho, M.,
Saux, B.L.,
Trouvé-Peloux, P.,
Almansa, A.,
Champagnat, F.,
On Regression Losses for Deep Depth Estimation,
ICIP18(2915-2919)
IEEE DOI
1809
Estimation, Training, Standards, Convolution,
Machine learning, Network architecture, Depth estimation,
loss function
BibRef
da Silveira, T.L.T.,
Dal'aqua, L.P.,
Jung, C.R.,
Indoor Depth Estimation from Single Spherical Images,
ICIP18(2935-2939)
IEEE DOI
1809
Estimation, Cameras, Distortion, Image color analysis, Training,
Convolutional neural networks, Solid modeling, Spherical images,
BibRef
Moukari, M.,
Picard, S.,
Simoni, L.,
Jurie, F.,
Deep Multi-Scale Architectures for Monocular Depth Estimation,
ICIP18(2940-2944)
IEEE DOI
1809
Training, Estimation, Decoding, Computer architecture, Semantics,
Spatial resolution, Task analysis, monocular depth estimation,
CNN architecture
BibRef
Huang, J.[Jun],
Bi, T.T.[Tian-Teng],
Liu, Y.[Yue],
Wang, Y.T.[Yong-Tian],
Stereo Generation from a Single Image Using Deep Residual Network,
ICIP18(3653-3657)
IEEE DOI
1809
Painting, Training, Interpolation,
Measurement, Stereo image processing, Image edge detection,
layered images
BibRef
Chang, Y.,
Li, S.,
Han, X.,
Hou, C.,
Cyclopean Image Based Stereoscopic Image Quality Assessment by Using
Sparse Representation,
ICIP18(2825-2829)
IEEE DOI
1809
Image color analysis, Stereo image processing,
Image reconstruction, Feature extraction, Entropy, Dictionaries, entropy
BibRef
Tian, H.,
Li, F.,
Depth Prediction From a Single Image with 3D Consistency,
ICIP18(111-115)
IEEE DOI
1809
Image color analysis, Training,
Distortion, Color, Computer architecture, Solid modeling,
random projection
BibRef
Kurenkov, A.,
Ji, J.,
Garg, A.,
Mehta, V.,
Gwak, J.,
Choy, C.,
Savarese, S.,
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction
from a Single Image,
WACV18(858-866)
IEEE DOI
1806
CAD, augmented reality, computer vision, image reconstruction,
learning (artificial intelligence), object recognition,
BibRef
Nimisha, T.M.,
Mathamkode, A.[Arun],
Ambasamudram, R.[Rajagopalan],
Dictionary Replacement for Single Image Restoration of 3D Scenes,
BMVC16(xx-yy).
HTML Version.
1805
BibRef
Yao, Q.,
Luo, G.,
Zhu, Y.,
Depth estimation for outdoor image using couple dictionary learning
and region detection,
VCIP17(1-4)
IEEE DOI
1804
computer vision, edge detection, image representation,
image retrieval, learning (artificial intelligence),
single image depth estimation
BibRef
Jung, H.,
Kim, Y.,
Min, D.,
Oh, C.,
Sohn, K.,
Depth prediction from a single image with conditional adversarial
networks,
ICIP17(1717-1721)
IEEE DOI
1803
Databases, Estimation, Generators, Periodic structures,
Spatial resolution, Training, Depth from a single image,
generative adversarial learning
BibRef
Guo, X.,
Nguyen, K.,
Denman, S.,
Fookes, C.,
Sridharan, S.,
Single image depth prediction using super-column super-pixel features,
ICIP17(2657-2661)
IEEE DOI
1803
Error analysis, Feature extraction, Image color analysis,
Image segmentation, Interpolation, Task analysis, Training, depth,
super pixel
BibRef
Chen, Y.,
Wang, F.,
Wang, X.,
Recovering complex non-rigid 3D structures from monocular images by
union of nonlinear subspaces,
ICIP17(2622-2626)
IEEE DOI
1803
Cameras, Kernel, Radio frequency, Shape,
Trajectory,
subspace clustering
BibRef
Johnston, A.,
Garg, R.,
Carneiro, G.,
Reid, I.D.[Ian D.],
Scaling CNNs for High Resolution Volumetric Reconstruction from a
Single Image,
DeepLearn-G17(930-939)
IEEE DOI
1802
Convolution, Deconvolution, Discrete cosine transforms,
Image reconstruction, Shape, Solid modeling, Training
BibRef
Romaszko, L.,
Williams, C.K.I.,
Moreno, P.,
Kohli, P.,
Vision-as-Inverse-Graphics:
Obtaining a Rich 3D Explanation of a Scene from a Single Image,
DeepLearn-G17(940-948)
IEEE DOI
1802
Cameras, Detectors, Graphics, Lighting, Object detection,
Probabilistic logic, Transforms
BibRef
Li, J.,
Klein, R.,
Yao, A.,
A Two-Streamed Network for Estimating Fine-Scaled Depth Maps from
Single RGB Images,
ICCV17(3392-3400)
IEEE DOI
1802
image colour analysis, learning (artificial intelligence), NYU,
NYU Depth, accurate depth map, deep learning methods,
Training
BibRef
Li, X.,
Jie, Z.,
Wang, W.,
Liu, C.,
Yang, J.,
Shen, X.,
Lin, Z.,
Chen, Q.,
Yan, S.,
Feng, J.,
FoveaNet: Perspective-Aware Urban Scene Parsing,
ICCV17(784-792)
IEEE DOI
1802
geometry, image recognition, neural nets, object detection,
object recognition, FoveaNet model,
BibRef
Zhu, R.[Rui],
Galoogahi, H.K.[Hamed Kiani],
Wang, C.Y.[Chao-Yang],
Lucey, S.[Simon],
Rethinking Reprojection:
Closing the Loop for Pose-Aware Shape Reconstruction from a Single Image,
ICCV17(57-65)
IEEE DOI
1802
computer vision, image classification, image reconstruction,
learning (artificial intelligence), object detection,
BibRef
Mohaghegh, H.,
Karimi, N.,
Soroushmehr, S.M.R.,
Samavi, S.,
Najarian, K.,
Single image depth estimation using joint local-global features,
ICPR16(727-732)
IEEE DOI
1705
Monocular depth cues.
Correlation, Databases, Estimation, Solid modeling,
Three-dimensional displays, Training, Two dimensional displays,
Data-driven approaches, Depth estimation,
Joint local-global framework, KNN regression model.
BibRef
Baig, M.H.[Mohammad Haris],
Torresani, L.[Lorenzo],
Coupled depth learning,
WACV16(1-10)
IEEE DOI
1606
Computational modeling.
Depth from single image via learning.
BibRef
Akhmadeev, F.[Foat],
Surface Prediction for a Single Image of Urban Scenes,
AutoSystems14(369-382).
Springer DOI
1504
BibRef
Ikeoka, H.[Hiroshi],
Murata, T.[Takafumi],
Okuwaki, M.[Maiki],
Hamamoto, T.[Takayuki],
Depth estimation for automotive with tilted optics imaging,
ICIP14(3852-3856)
IEEE DOI
1502
Automotive engineering
BibRef
Hua, Y.,
Tian, H.,
Cai, A.,
Shi, P.,
Cross-modal correlation learning with deep convolutional architecture,
VCIP15(1-4)
IEEE DOI
1605
Analytical models
BibRef
Tian, H.[Hu],
Zhuang, B.[Bojin],
Hua, Y.[Yan],
Cai, A.[Anni],
Depth inference with convolutional neural network,
VCIP14(169-172)
IEEE DOI
1504
BibRef
Earlier:
Depth extraction from a single image by sampling based on distance
metric learning,
ICIP14(2017-2021)
IEEE DOI
1502
feature extraction.
Estimation.
Mahalanobis distance rather than Euclidean distance between images.
depth fusion.
BibRef
Li, H.S.[Hong-Song],
Song, T.[Ting],
Wu, Z.H.[Ze-Huan],
Ma, J.D.[Jian-Dong],
Ding, G.[Gangyi],
Reconstruction of a Complex Mirror Surface from a Single Image,
ISVC14(I: 402-412).
Springer DOI
1501
Use the multiple reflections of same environment point.
BibRef
Liu, M.M.[Miao-Miao],
Salzmann, M.[Mathieu],
He, X.M.[Xu-Ming],
Discrete-Continuous Depth Estimation from a Single Image,
CVPR14(716-723)
IEEE DOI
1409
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
Cheng, H.M.[Hsin-Min],
Tseng, C.Y.[Chen-Yu],
Hsin, C.H.[Cheng-Ho],
Wang, S.J.[Sheng-Jyh],
Single-image 3-D depth estimation for urban scenes,
ICIP13(2121-2125)
IEEE DOI
1402
3-D depth recovery;Depth estimation
BibRef
Chapter on 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings continues in
Three-Dimensional Reconstruction from Different Views .