4.9.2.1 Light Field Depth Estimation

Chapter Contents (Back)
Light Field. See also Depth of Field, Desctiptions.

Zhang, S.[Shuo], Sheng, H.[Hao], Li, C.[Chao], Zhang, J.[Jun], Xiong, Z.[Zhang],
Robust depth estimation for light field via spinning parallelogram operator,
CVIU(145), No. 1, 2016, pp. 148-159.
Elsevier DOI 1604
Light field BibRef

Zhang, S.[Shuo], Sheng, H.[Hao], Yang, D., Zhang, J.[Jun], Xiong, Z.[Zhang],
Micro-Lens-Based Matching for Scene Recovery in Lenslet Cameras,
IP(27), No. 3, March 2018, pp. 1060-1075.
IEEE DOI 1801
image reconstruction, image resolution, image sensors, microlenses, depth estimation method, image reconstruction, view synthesis BibRef

Tao, M.W.[Michael W.], Su, J.C., Wang, T.C.[Ting-Chun], Malik, J.[Jitendra], Ramamoorthi, R.[Ravi],
Depth Estimation and Specular Removal for Glossy Surfaces Using Point and Line Consistency with Light-Field Cameras,
PAMI(38), No. 6, June 2016, pp. 1155-1169.
IEEE DOI 1605
BibRef
Earlier: A1, A3, A4, A5, Only:
Depth Estimation for Glossy Surfaces with Light-Field Cameras,
LightField14(533-547).
Springer DOI 1504
Algorithm design and analysis. BibRef

Tao, M.W.[Michael W.], Srinivasan, P.P.[Pratul P.], Hadap, S., Rusinkiewicz, S.[Szymon], Malik, J.[Jitendra], Ramamoorthi, R.[Ravi],
Shape Estimation from Shading, Defocus, and Correspondence Using Light-Field Angular Coherence,
PAMI(39), No. 3, March 2017, pp. 546-560.
IEEE DOI 1702
BibRef
Earlier: A1, A2, A5, A4, A6, Only:
Depth from shading, defocus, and correspondence using light-field angular coherence,
CVPR15(1940-1948)
IEEE DOI 1510
Cameras BibRef

Tao, M.W.[Michael W.], Hadap, S.I.[Sun-Il], Malik, J.[Jitendra], Ramamoorthi, R.[Ravi],
Depth from Combining Defocus and Correspondence Using Light-Field Cameras,
ICCV13(673-680)
IEEE DOI 1403
BibRef

Wang, T.C.[Ting-Chun], Efros, A.A.[Alexei A.], Ramamoorthi, R.[Ravi],
Depth Estimation with Occlusion Modeling Using Light-Field Cameras,
PAMI(38), No. 11, November 2016, pp. 2170-2181.
IEEE DOI 1610
BibRef
Earlier:
Occlusion-Aware Depth Estimation Using Light-Field Cameras,
ICCV15(3487-3495)
IEEE DOI 1602
Arrays Cameras BibRef

Navarro, J., Buades, A.,
Robust and Dense Depth Estimation for Light Field Images,
IP(26), No. 4, April 2017, pp. 1873-1886.
IEEE DOI 1704
BibRef
Earlier:
Reliable light field multiwindow disparity estimation,
ICIP16(1449-1453)
IEEE DOI 1610
Algorithm design and analysis. Cameras BibRef

Zhang, Y., Lv, H., Liu, Y., Wang, H., Wang, X., Huang, Q., Xiang, X., Dai, Q.,
Light-Field Depth Estimation via Epipolar Plane Image Analysis and Locally Linear Embedding,
CirSysVideo(27), No. 4, April 2017, pp. 739-747.
IEEE DOI 1704
Cameras BibRef

Feng, M., Wang, Y., Liu, J., Zhang, L., Zaki, H.F.M., Mian, A.,
Benchmark Data Set and Method for Depth Estimation From Light Field Images,
IP(27), No. 7, July 2018, pp. 3586-3598.
IEEE DOI 1805
Cameras, Estimation, Image color analysis, Image resolution, Machine learning, Streaming media, two stream CNN BibRef

Han, Q.H.[Qi-Hui], Jung, C.[Cheolkon],
Guided filtering based data fusion for light field depth estimation with L0 gradient minimization,
JVCIR(55), 2018, pp. 449-456.
Elsevier DOI 1809
Data fusion, Guided filtering, Light field, gradient minimization, Defocus response, Occlusion, Stereo matching BibRef

Zeller, N.[Niclas], Quint, F.[Franz], Stilla, U.[Uwe],
Scale-Awareness of Light Field Camera Based Visual Odometry,
ECCV18(VIII: 732-747).
Springer DOI 1810
BibRef

Lee, J.Y., Park, R.,
Reduction of Aliasing Artifacts by Sign Function Approximation in Light Field Depth Estimation Based on Foreground-Background Separation,
SPLetters(25), No. 11, November 2018, pp. 1750-1754.
IEEE DOI 1811
function approximation, image matching, image segmentation, stereo image processing, light field depth estimation, sign function approximation BibRef

Williem, Park, I.K.[In Kyu],
Cost aggregation benchmark for light field depth estimation,
JVCIR(56), 2018, pp. 38-51.
Elsevier DOI 1811
Light field, Depth estimation, Cost aggregation, Weighted rank, Benchmark BibRef

Jeon, H.G.[Hae-Gon], Park, J.[Jaesik], Choe, G.[Gyeongmin], Park, J.S.[Jin-Sun], Bok, Y.[Yunsu], Tai, Y.W.[Yu-Wing], Kweon, I.S.[In So],
Depth from a Light Field Image with Learning-Based Matching Costs,
PAMI(41), No. 2, February 2019, pp. 297-310.
IEEE DOI 1901
Cameras, Estimation, Degradation, Reliability, Training, Lenses, Computational photography, light field imaging, depth estimation, aberration correction BibRef

Kim, M.J.[Min-Jung], Oh, T.H.[Tae-Hyun], Kweon, I.S.[In So],
Cost-aware depth map estimation for Lytro camera,
ICIP14(36-40)
IEEE DOI 1502
Cameras BibRef

Huang, C.T.[Chao-Tsung],
Empirical Bayesian Light-Field Stereo Matching by Robust Pseudo Random Field Modeling,
PAMI(41), No. 3, March 2019, pp. 552-565.
IEEE DOI 1902
BibRef
Earlier:
Robust Pseudo Random Fields for Light-Field Stereo Matching,
ICCV17(11-19)
IEEE DOI 1802
Robustness, Image color analysis, Data models, Adaptation models, Bayes methods, Estimation, Markov random fields, Stereo matching, empirical Bayesian method. Bayes methods, Markov processes, expectation-maximisation algorithm, image denoising, BibRef

Zhu, K.[Kang], Xue, Y.J.[Yu-Jia], Fu, Q.[Qiang], Kang, S.B.[Sing Bing], Chen, X.L.[Xi-Lin], Yu, J.Y.[Jing-Yi],
Hyperspectral Light Field Stereo Matching,
PAMI(41), No. 5, May 2019, pp. 1131-1143.
IEEE DOI 1904
Cameras, Hyperspectral imaging, Band-pass filters, Image color analysis, Image reconstruction, spectral-aware defocus cues BibRef

Le Pendu, M., Guillemot, C., Smolic, A.,
A Fourier Disparity Layer Representation for Light Fields,
IP(28), No. 11, November 2019, pp. 5740-5753.
IEEE DOI 1909
Light fields, Apertures, Rendering (computer graphics), Calibration, Cameras, Shape, Interpolation, Light Fields, denoising BibRef

Shi, J.L.[Jing-Lei], Jiang, X.R.[Xiao-Ran], Guillemot, C.[Christine],
A Framework for Learning Depth From a Flexible Subset of Dense and Sparse Light Field Views,
IP(28), No. 12, December 2019, pp. 5867-5880.
IEEE DOI 1909
Estimation, Optical imaging, Computer architecture, Neural networks, occlusion handling BibRef


Stacey, A.[Adam], Maddern, W.[Will], Singh, S.[Surya],
Fast Light Field Disparity Estimation via a Parallel Filtered Cost Volume Approach,
ACCV18(II:256-268).
Springer DOI 1906
BibRef

Ivan, A.[Andre], Unknown, W.[Williem], Park, I.K.[In Kyu],
Light Field Depth Estimation on Off-the-Shelf Mobile GPU,
ECVW18(747-74709)
IEEE DOI 1812
Graphics processing units, Estimation, Histograms, Entropy, Instruction sets, Kernel, Memory management BibRef

Zhou, W., Liang, L., Zhang, H., Lumsdaine, A., Lin, L.,
Scale and Orientation Aware EPI-Patch Learning for Light Field Depth Estimation,
ICPR18(2362-2367)
IEEE DOI 1812
Estimation, Feature extraction, Benchmark testing, Adaptation models, Adaptive systems, Visualization BibRef

Rogge, S., Munteanu, A.,
Depth Estimation in Light Field Camera Arrays Based on Multi-Stereo Matching and Belief Propagation,
3DTV-CON18(1-4)
IEEE DOI 1812
belief networks, cameras, computer vision, image matching, stereo image processing, singular light field cameras, belief propagation BibRef

Schilling, H., Diebold, M., Rother, C., Jähne, B.,
Trust your Model: Light Field Depth Estimation with Inline Occlusion Handling,
CVPR18(4530-4538)
IEEE DOI 1812
Cost function, Estimation, Surface reconstruction, Cameras, Image reconstruction, Robustness BibRef

Peng, J., Xiong, Z., Liu, D., Chen, X.,
Unsupervised Depth Estimation from Light Field Using a Convolutional Neural Network,
3DV18(295-303)
IEEE DOI 1812
feature extraction, image matching, image reconstruction, image resolution, image segmentation, image sensors, Unsupervised Learning BibRef

Jiang, X., Pendu, M.L., Guillemot, C.,
Depth Estimation with Occlusion Handling from a Sparse Set of Light Field Views,
ICIP18(634-638)
IEEE DOI 1809
Estimation, Optical imaging, Integrated optics, Image color analysis, Optical filters, Reliability, low rank approximation BibRef

Houben, G., Fujita, S., Takahashi, K., Fujii, T.,
Fast and Robust Disparity Estimation for Noisy Light Fields,
ICIP18(2610-2614)
IEEE DOI 1809
Noise reduction, Estimation, Noise measurement, Kernel, Robustness, Tensile stress, Noise level, Light field, Epipolar plane image, Disparity BibRef

Wang, P., Jin, X., Li, C., Chen, Y., Dai, Q.,
Light Field Stitching for Parallax Tolerance,
ICIP18(2585-2589)
IEEE DOI 1809
Cameras, Filtering, Feature extraction, Estimation, Visualization, Optical distortion, LF stitching, parallax tolerance BibRef

Lourenco, R., Assuncao, P.A.A., Tavora, L.M.N., Fonseca-Pinto, R., Faria, S.M.M.,
Silhouette Enhancement in Light Field Disparity Estimation Using the Structure Tensor,
ICIP18(2580-2584)
IEEE DOI 1809
Estimation, Image edge detection, Reliability, Tensile stress, Visualization, structure tensor BibRef

Palmieri, L., Koch, R., Het Veld, R.O.,
The Plenoptic 2.0 Toolbox: Benchmarking of Depth Estimation Methods for MLA-Based Focused Plenoptic Cameras,
ICIP18(649-653)
IEEE DOI 1809
Cameras, Estimation, Benchmark testing, Visualization, Measurement uncertainty, Open source software, Tools, Lightfield, MLA (Micro-lens Array) BibRef

Gava, C.C., Stricker, D., Yokota, S.,
Dense Scene Reconstruction from Spherical Light Fields,
ICIP18(4178-4182)
IEEE DOI 1809
Image reconstruction, Cameras, Distortion, Approximation algorithms, Surface reconstruction, light fields BibRef

Peng, J., Xiong, Z., Zhang, Y., Liu, D., Wu, F.,
LF-fusion: Dense and accurate 3D reconstruction from light field images,
VCIP17(1-4)
IEEE DOI 1804
image fusion, image reconstruction, iterative methods, Kinect-fusion, LF images, LF-fusion, depth estimation, depth maps, point cloud BibRef

Li, Y., Lafruit, G.,
Robust disparity estimation on sparse sampled light field images,
3DTV-CON17(1-4)
IEEE DOI 1804
image colour analysis, image matching, image reconstruction, stereo image processing, Epipolar-Plane Image analysis, Radiometric changes BibRef

Johannsen, O., Honauer, K., Goldluecke, B., Alperovich, A., Battisti, F., Bok, Y., Brizzi, M., Carli, M., Choe, G., Diebold, M., Gutsche, M., Jeon, H.G., Kweon, I.S., Park, J., Park, J., Schilling, H., Sheng, H., Si, L., Strecke, M., Sulc, A., Tai, Y.W., Wang, Q., Wang, T.C., Wanner, S., Xiong, Z., Yu, J., Zhang, S., Zhu, H.,
A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms,
LightField17(1795-1812)
IEEE DOI 1709
Benchmark testing, Cameras, Conferences, Estimation, Measurement, Taxonomy, Three-dimensional, displays BibRef

Zhou, W.H.[Wen-Hui], Li, P., Lumsdaine, A., Lin, L.[Lili],
Light-field flow: A subpixel-accuracy depth flow estimation with geometric occlusion model from a single light-field image,
ICIP17(1632-1636)
IEEE DOI 1803
Adaptive optics, Cameras, Estimation, Geometrical optics, Optical imaging, Optical sensors, Robustness, depth estimation, subpixel accuracy BibRef

Zhou, W.H.[Wen-Hui], Lumsdaine, A., Lin, L.[Lili],
Depth estimation with cascade occlusion culling filter for light-field cameras,
ICPR16(1887-1892)
IEEE DOI 1705
Cameras, Estimation, Image edge detection, Mathematical model, Optimization, Surface, texture BibRef

Honauer, K.[Katrin], Johannsen, O.[Ole], Kondermann, D.[Daniel], Goldluecke, B.[Bastian],
A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields,
ACCV16(III: 19-34).
Springer DOI 1704
BibRef

Paramonov, V.[Vladimir], Panchenko, I.[Ivan], Bucha, V.[Victor], Drogolyub, A.[Andrey], Zagoruyko, S.[Sergey],
Depth Camera Based on Color-Coded Aperture,
CCD16(910-918)
IEEE DOI 1612
Single lens, passive. BibRef

Williem, W., Park, I.K.[In Kyu], Lee, K.M.[Kyoung Mu],
Robust Light Field Depth Estimation Using Occlusion-Noise Aware Data Costs,
PAMI(40), No. 10, October 2018, pp. 2484-2497.
IEEE DOI 1809
Estimation, Robustness, Entropy, Image color analysis, Cameras, Optimization methods, Light field, depth estimation, constrained adaptive defocus BibRef

Williem, W., Park, I.K.[In Kyu],
Robust Light Field Depth Estimation for Noisy Scene with Occlusion,
CVPR16(4396-4404)
IEEE DOI 1612
BibRef

Sajjadi, M.S.M.[Mehdi S. M.], Köhler, R.[Rolf], Schölkopf, B.[Bernhard], Hirsch, M.[Michael],
Depth Estimation Through a Generative Model of Light Field Synthesis,
GCPR16(426-438).
Springer DOI 1611
BibRef

Johannsen, O.[Ole], Sulc, A.[Antonin], Marniok, N.[Nico], Goldluecke, B.[Bastian],
Layered Scene Reconstruction from Multiple Light Field Camera Views,
ACCV16(III: 3-18).
Springer DOI 1704
BibRef
And: A1, A2, A4, Only:
What Sparse Light Field Coding Reveals about Scene Structure,
CVPR16(3262-3270)
IEEE DOI 1612
BibRef
And: A1, A2, A4, Only:
Occlusion-Aware Depth Estimation Using Sparse Light Field Coding,
GCPR16(207-218).
Springer DOI 1611
BibRef
Earlier: A1, A2, A4, Only:
On Linear Structure from Motion for Light Field Cameras,
ICCV15(720-728)
IEEE DOI 1602
Calibration BibRef

Donne, S.[Simon], Goossens, B.[Bart], Aelterman, J.[Jan], Philips, W.[Wilfried],
Variational multi-image stereo matching,
ICIP15(897-901)
IEEE DOI 1512
depth estimation; light field; stereo BibRef

Vasko, R.[Ross], Zeller, N.[Niclas], Quint, F.[Franz], Stilla, U.[Uwe],
A Real-Time Depth Estimation Approach for a Focused Plenoptic Camera,
ISVC15(II: 70-80).
Springer DOI 1601
BibRef

Xu, Y.T.[Ya-Tong], Jin, X.[Xin], Dai, Q.H.[Qiong-Hai],
Depth estimation by analyzing intensity distribution for light-field cameras,
ICIP15(3540-3544)
IEEE DOI 1512
Light-field; confidence measure; depth estimation; intensity range BibRef

Kim, C.I.[Chang-Il], Subr, K.[Kartic], Mitchell, K.[Kenny], Sorkine-Hornung, A.[Alexander], Gross, M.[Markus],
Online view sampling for estimating depth from light fields,
ICIP15(1155-1159)
IEEE DOI 1512
BibRef

Antensteiner, D.[Doris], Štolc, S.[Svorad], Huber-Mörk, R.[Reinhold],
Depth Estimation with Light Field and Photometric Stereo Data Using Energy Minimization,
CIARP16(175-183).
Springer DOI 1703
BibRef

Soukup, D., Huber-Mörk, R.[Reinhold], Štolc, S.[Svorad], Holländer, B.,
Depth Estimation within a Multi-Line-Scan Light-Field Framework,
ISVC14(II: 471-481).
Springer DOI 1501
BibRef

Tosic, I.[Ivana], Berkner, K.[Kathrin],
3D keypoint detection by light field scale-depth space analysis,
ICIP14(1927-1931)
IEEE DOI 1502
BibRef
And:
Light Field Scale-Depth Space Transform for Dense Depth Estimation,
CCD14(441-448)
IEEE DOI 1409
Cameras BibRef

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Complex Log Mapping, Algorithms and Sensors .


Last update:Oct 1, 2019 at 15:23:24