4.9.2 Light Field Cameras, Images, and Analysis

Lytro,
2010
WWW Link. Vendor, Sensors. Commercialize work from Stanford on Light field cameras to allow for correcting the focus after the image is taken.
See also Light Field Photography with a Hand-Held Plenoptic Camera.

Baker, S., Sim, T., Kanade, T.,
When is the Shape of a Scene Unique Given its Light-Field: A Fundamental Theorem of 3D Vision?,
PAMI(25), No. 1, January 2003, pp. 100-109.
IEEE DOI 0301
Precise characterization of the light field of a Lambertian scene. Show stereo is ambiguous if the scene is radiating light of a constant intensity or color. BibRef

Levoy, M.,
Light Fields and Computational Imaging,
Computer(39), No. 8, August 2006, pp. 46-55.
IEEE DOI
WWW Link. 0608
BibRef

Ng, R.[Ren], Levoy, M.[Marc], Brédif, M.[Mathieu], Duval, G.[Gene], Horowitz, M.[Mark], Hanrahan, P.[Pat],
Light Field Photography with a Hand-Held Plenoptic Camera,
StanfordComputer Science Tech Report CSTR 2005-02, April 2005
WWW Link. 1106
BibRef

Sen, P.[Pradeep], Chen, B.[Billy], Garg, G.[Gaurav], Marschner, S.[Steve], Horowitz, M.[Mark], Levoy, M.[Marc], Lensch, H.P.A.[Hendrik P.A.],
Dual Photography,
TOG(24), No. 3, July 2005, Proc. SIGGRAPH 2005
WWW Link. 1106
BibRef

Horstmeyer, R.[Roarke], Euliss, G.[Gary], Athale, R.[Ravindra], Levoy, M.[Marc],
Flexible Multimodal Camera Using a Light Field Architecture,
ICCP09(1-8)
IEEE DOI
PDF File. 1106
BibRef

Zhang, Z.Y.[Zheng-Yun], Levoy, M.[Marc],
Wigner Distributions and How They Relate to the Light Field,
ICCP09(1-10).
IEEE DOI
WWW Link. 1106
BibRef

Ng, R.[Ren],
Fourier Slice Photography,
TOG(24), No. 3, July 2005.
WWW Link. 1106
Refocusing ability of light field camera. BibRef

Liang, C.K.[Chia-Kai], Shih, Y.C.[Yi-Chang], Chen, H.H.,
Light Field Analysis for Modeling Image Formation,
IP(20), No. 2, February 2011, pp. 446-460.
IEEE DOI 1102
Analysis based on 4-D light field, include lens, occlusions. BibRef

Savage, N.,
A new angle on imaging,
Spectrum(48), No. 12, December 2011, pp. 15.
IEEE DOI 1112
Light field imager, focus the image after you take it. Angle dependent imager. BibRef

Schwiegerling, J.[Jim],
Aberration analysis of light fields in plenoptic cameras,
SPIE(Newsroom), August 16, 2013.
DOI Link 1310
The effect of defocus in a well-corrected plenoptic camera helps to better understand the relationship between a 3D object, its light field in the image plane, and the sampling limitations of the technology. BibRef

Schwiegerling, J.[Jim],
Relating wavefront error, apodization, and the optical transfer function: on-axis case,
JOSA-A(31), No. 11, November 2014, pp. 2476-2483.
DOI Link 1411
Mathematics BibRef

Gilliam, C., Dragotti, P.L., Brookes, M.,
On the Spectrum of the Plenoptic Function,
IP(23), No. 2, February 2014, pp. 502-516.
IEEE DOI 1402
computer vision BibRef

Greengard, S.[Samuel],
Computational Photography Comes into Focus,
CACM(57), No. 2, February 2014, pp. 19-21.
DOI Link 1402
Advances in computational photography are making image capture the starting point. The technology is transforming the field. BibRef

Donatsch, D.[Daniel], Bigdeli, S.A.[Siavash Arjomand], Robert, P.[Philippe], Zwicker, M.[Matthias],
Hand-held 3D light field photography and applications,
VC(30), No. 6-8, June 2014, pp. 897-907.
Springer DOI 1407
BibRef

Wetzstein, G.[Gordon], Heidrich, W.[Wolfgang], Raskar, R.[Ramesh],
Computational Schlieren Photography with Light Field Probes,
IJCV(110), No. 1, November 2014, pp. 113-127.
Springer DOI 1411
BibRef
Earlier: A1, A3, A2:
Hand-held Schlieren Photography with Light Field probes,
ICCP11(1-8).
IEEE DOI 1208
Fluid flows. BibRef

Rego, J.D.[Joshua D.], Kulkarni, K.[Karthik], Jayasuriya, S.[Suren],
Robust Lensless Image Reconstruction via PSF Estimation,
WACV21(403-412)
IEEE DOI 2106
Training, Deep learning, Visualization, Image resolution, Estimation, Cameras, Optical imaging BibRef

Hirsch, M., Sivaramakrishnan, S., Jayasuriya, S., Wang, A., Molnar, A., Raskar, R., Wetzstein, G.,
A switchable light field camera architecture with Angle Sensitive Pixels and dictionary-based sparse coding,
ICCP14(1-10)
IEEE DOI 1411
cameras BibRef

Wu, D.[Di], Wetzstein, G.[Gordon], Barsi, C.[Christopher], Willwacher, T.[Thomas], Dai, Q.H.[Qiong-Hai], Raskar, R.[Ramesh],
Ultra-fast Lensless Computational Imaging through 5D Frequency Analysis of Time-resolved Light Transport,
IJCV(110), No. 1, November 2014, pp. 128-140.
Springer DOI 1411
BibRef

Shidanshidi, H., Safaei, F., Li, W.Q.[Wan-Qing],
Estimation of Signal Distortion Using Effective Sampling Density for Light Field-Based Free Viewpoint Video,
MultMed(17), No. 10, October 2015, pp. 1677-1693.
IEEE DOI 1511
numerical analysis BibRef

Lam, E.Y.[Edmund Y.],
Computational photography with plenoptic camera and light field capture: tutorial,
JOSA-A(32), No. 11, November 2015, pp. 2021-2032.
DOI Link 1512
Image reconstruction-restoration BibRef

Zhao, H.[Hang], Raskar, R.[Ramesh], Shi, B.X.[Bo-Xin], Yeung, S.K.[Sai-Kit], Fernandez-Cull, C.[Christy],
A camera that never overexposes an image,
SPIE(Newsroom), November 24, 2015
DOI Link 1512
A technique based on computational photography enables camera sensors to reset when there is excess light in the field of view, protecting the resultant image from the effects of overexposure. BibRef

Li, Y.[Yun], Sjostrom, M., Olsson, R., Jennehag, U.,
Scalable Coding of Plenoptic Images by Using a Sparse Set and Disparities,
IP(25), No. 1, January 2016, pp. 80-91.
IEEE DOI 1601
image coding BibRef

Dansereau, D.G.[Donald G.], Williams, S.B.[Stefan B.], Corke, P.I.[Peter I.],
Simple change detection from mobile light field cameras,
CVIU(145), No. 1, 2016, pp. 160-171.
Elsevier DOI 1604
Change detection BibRef

Kamal, M.H.[Mahdad Hosseini], Heshmat, B.[Barmak], Raskar, R.[Ramesh], Vandergheynst, P.[Pierre], Wetzstein, G.[Gordon],
Tensor low-rank and sparse light field photography,
CVIU(145), No. 1, 2016, pp. 172-181.
Elsevier DOI 1604
Computational photography BibRef

Tendero, Y.[Yohann], Morel, J.M.[Jean-Michel],
On the Mathematical Foundations of Computational Photography,
JMIV(54), No. 3, March 2016, pp. 378-397.
WWW Link. 1604
BibRef

Sardemann, H.[Hannes], Maas, H.G.[Hans-Gerd],
On the accuracy potential of focused plenoptic camera range determination in long distance operation,
PandRS(114), No. 1, 2016, pp. 1-9.
Elsevier DOI 1604
Plenoptic camera BibRef

Li, Z., Xu, Z., Ramamoorthi, R.[Ravi], Chandraker, M.[Manmohan],
Robust Energy Minimization for BRDF-Invariant Shape from Light Fields,
CVPR17(578-586)
IEEE DOI 1711
Cameras, Image reconstruction, Minimization, Optimization, Robustness, Shape, Surface, reconstruction BibRef

Wang, T.C.[Ting-Chun], Chandraker, M.[Manmohan], Efros, A.A.[Alexei A.], Ramamoorthi, R.[Ravi],
SVBRDF-Invariant Shape and Reflectance Estimation from a Light-Field Camera,
PAMI(40), No. 3, March 2018, pp. 740-754.
IEEE DOI 1802
BibRef
Earlier:
SVBRDF-Invariant Shape and Reflectance Estimation from Light-Field Cameras,
CVPR16(5451-5459)
IEEE DOI 1612
Cameras, Estimation, Light sources, Mathematical model, Robustness, Shape, 3D reconstruction, BRDF, Light-fields
See also What Object Motion Reveals about Shape with Unknown BRDF and Lighting. BibRef

Wang, T.C.[Ting-Chun], Zhu, J.Y.[Jun-Yan], Hiroaki, E.[Ebi], Chandraker, M.[Manmohan], Efros, A.A.[Alexei A.], Ramamoorthi, R.[Ravi],
A 4D Light-Field Dataset and CNN Architectures for Material Recognition,
ECCV16(III: 121-138).
Springer DOI 1611
Dataset, Material Recognition. BibRef

Deepak, V.J.[V. Joshua], Ivan, J.S.[J. Solomon],
Contextual phase estimation from two-plane intensity measurements,
JOSA-A(33), No. 6, June 2016, pp. 1198-1206.
DOI Link 1606
Coherence BibRef

Pérez, F., Pérez, A., Rodríguez, M., Magdaleno, E.,
Lightfield Recovery from Its Focal Stack,
JMIV(56), No. 3, November 2016, pp. 573-590.
Springer DOI 1609
BibRef

Nakamura, M.[Motohiro], Oya, S.[Shinnosuke], Okabe, T.[Takahiro], Lensch, H.P.A.[Hendrik P.A.],
Acquiring 4D Light Fields of Self-Luminous Extended Light Sources Using Programmable Filter,
IEICE(E99-D), No. 9, September 2016, pp. 2360-2367.
WWW Link. 1609
BibRef
Earlier: A1, A3, A4, Only:
Acquiring 4D Light Fields of Self-Luminous Light Sources Using Programmable Filter,
LightField14(588-599).
Springer DOI 1504
BibRef

Oya, S.[Shinnosuke], Okabe, T.[Takahiro],
Image-Based Relighting with 5-D Incident Light Fields,
CVPV17(3031-3038)
IEEE DOI 1802
Image color analysis, Lighting, Multiplexing, Real-time systems, Time measurement BibRef

Koppal, S.J.,
A Survey of Computational Photography in the Small: Creating intelligent cameras for the next wave of miniature devices,
SPMag(33), No. 5, September 2016, pp. 16-22.
IEEE DOI 1610
cameras BibRef

Boominathan, V., Adams, J.K., Asif, M.S., Avants, B.W., Robinson, J.T., Baraniuk, R.G., Sankaranarayanan, A.C., Veeraraghavan, A.,
Lensless Imaging: A computational renaissance,
SPMag(33), No. 5, September 2016, pp. 23-35.
IEEE DOI 1610
cameras BibRef

Hua, Y.[Yi], Nakamura, S.[Shigeki], Asif, M.S.[M. Salman], Sankaranarayanan, A.C.[Aswin C.],
SweepCam: Depth-Aware Lensless Imaging Using Programmable Masks,
PAMI(42), No. 7, July 2020, pp. 1606-1617.
IEEE DOI 2006
Image reconstruction, Cameras, Image resolution, Semiconductor device measurement, Inverse problems, Convolution, computational photography BibRef

Ihrke, I., Restrepo, J., Mignard-Debise, L.,
Principles of Light Field Imaging: Briefly revisiting 25 years of research,
SPMag(33), No. 5, September 2016, pp. 59-69.
IEEE DOI 1610
image processing BibRef

Dana, K.J.,
Capturing Computational Appearance: More than meets the eye,
SPMag(33), No. 5, September 2016, pp. 70-80.
IEEE DOI 1610
cameras BibRef

Yuttakonkit, Y.[Yuttakon], Takamaeda-Yamazaki, S.[Shinya], Nakashima, Y.[Yasuhiko],
Performance Optimization of Light-Field Applications on GPU,
IEICE(E99-D), No. 12, December 2016, pp. 3072-3081.
WWW Link. 1612
BibRef

Shin, D.[Dongeek], Shapiro, J.H.[Jeffrey H.], Goyal, V.K.[Vivek K.],
Performance Analysis of Low-Flux Least-Squares Single-Pixel Imaging,
SPLetters(23), No. 12, December 2016, pp. 1756-1760.
IEEE DOI 1612
cameras BibRef

Shin, D.[Dongeek], Kirmani, A.[Ahmed], Goyal, V.K.[Vivek K.], Shapiro, J.H.[Jeffrey H.],
Computational 3D and reflectivity imaging with high photon efficiency,
ICIP14(46-50)
IEEE DOI 1502
Detectors BibRef

Yu, J.,
A Light-Field Journey to Virtual Reality,
MultMedMag(24), No. 2, April 2017, pp. 104-112.
IEEE DOI 1705
Augmented reality, Cameras, Microoptics, Multimedia communication, Pervasive computing, Virtual reality, VR, augmented reality, graphics, head-mounted display, light field, multimedia, pervasive computing, virtual reality, virtualization, visualization BibRef

Cho, D.H.[Dong-Hyeon], Kim, S.Y.[Sun-Yeong], Tai, Y.W.[Yu-Wing], Kweon, I.S.[In-So],
Automatic Trimap Generation and Consistent Matting for Light-Field Images,
PAMI(39), No. 8, August 2017, pp. 1504-1517.
IEEE DOI 1707
BibRef
Earlier: A1, A2, A3, Only:
Consistent Matting for Light Field Images,
ECCV14(IV: 90-104).
Springer DOI 1408
Cameras, Correlation, Estimation, Image color analysis, Image segmentation, Laplace equations, Mathematical model, Image matting, light-field image, trimap BibRef

Cho, D.H.[Dong-Hyeon], Tai, Y.W.[Yu-Wing], Kweon, I.S.[In-So],
Deep Convolutional Neural Network for Natural Image Matting Using Initial Alpha Mattes,
IP(28), No. 3, March 2019, pp. 1054-1067.
IEEE DOI 1812
BibRef
Earlier:
Natural Image Matting Using Deep Convolutional Neural Networks,
ECCV16(II: 626-643).
Springer DOI 1611
data compression, feature extraction, image coding, image colour analysis, image segmentation, initial alpha mattes BibRef

Cho, D.H.[Dong-Hyeon], Lee, M.H.[Min-Haeng], Kim, S.Y.[Sun-Yeong], Tai, Y.W.[Yu-Wing],
Modeling the Calibration Pipeline of the Lytro Camera for High Quality Light-Field Image Reconstruction,
ICCV13(3280-3287)
IEEE DOI 1403
Lightfield Camera Calibration, Lightfield Image Reconstruction BibRef

Suzuki, T.[Takahiro], Takahashi, K.[Keita], Fujii, T.[Toshiaki],
Sheared EPI Analysis for Disparity Estimation from Light Fields,
IEICE(E100-D), No. 9, September 2017, pp. 1984-1993.
WWW Link. 1709
BibRef
Earlier:
Disparity estimation from light fields using sheared EPI analysis,
ICIP16(1444-1448)
IEEE DOI 1610
Electrical engineering BibRef

Preece, B.L.[Bradley L.], Nehmetallah, G.[George],
Standardized target-specific detectivity metric for computational imaging systems,
JOSA-A(34), No. 9, September 2017, pp. 1687-1696.
DOI Link 1709
Imaging systems, Image detection systems, Computational imaging, Metrics BibRef

Kondo, S.[Shu], Kobayashi, Y.[Yuto], Takahashi, K.[Keita], Fujii, T.[Toshiaki],
Physically-Correct Light-Field Factorization for Perspective Images,
IEICE(E100-D), No. 9, September 2017, pp. 2052-2055.
WWW Link. 1709
BibRef

Tomioka, T.[Takayuki], Mishiba, K.[Kazu], Oyamada, Y.J.[Yu-Ji], Kondo, K.[Katsuya],
Depth Map Estimation Using Census Transform for Light Field Cameras,
IEICE(E100-D), No. 11, November 2017, pp. 2711-2720.
WWW Link. 1711
BibRef

Mishiba, K.[Kazu],
Fast Depth Estimation for Light Field Cameras,
IP(29), 2020, pp. 4232-4242.
IEEE DOI 2002
Light fields, depth estimation, multi-view stereo matching, approximate solver BibRef

Chen, Y.B.[Yi-Bo], Guan, J., Cham, W.K.[Wai-Kuen],
Robust Multi-Focus Image Fusion Using Edge Model and Multi-Matting,
IP(27), No. 3, March 2018, pp. 1526-1541.
IEEE DOI 1801
BibRef
Earlier: A1, A3, Only:
Edge model based fusion of multi-focus images using matting method,
ICIP15(1840-1844)
IEEE DOI 1512
Cameras, Convolution, Correlation, Image edge detection, Image fusion, Robustness, Transforms, fusion, multi-matting. Multi-focus, edge model, focus measure (FM), BibRef

Alam, M.Z.[M. Zeshan], Gunturk, B.K.[Bahadir K.],
Hybrid light field imaging for improved spatial resolution and depth range,
MVA(29), No. 1, January 2018, pp. 11-22.
Springer DOI 1801
Combine a light field camera and regular camera to deal with limited baseline of micro-lens array camera. BibRef

Fujita, S.[Shu], Takahashi, K.[Keita], Fujii, T.[Toshiaki],
High-Quality Multi-View Image Extraction from a Light Field Camera Considering Its Physical Pixel Arrangement,
IEICE(E102-D), No. 4, April 2019, pp. 702-714.
WWW Link. 1904
BibRef

Wu, G.C.[Gao-Chang], Liu, Y.B.[Ye-Bin], Fang, L.[Lu], Dai, Q.H.[Qiong-Hai], Chai, T.Y.[Tian-You],
Light Field Reconstruction Using Convolutional Network on EPI and Extended Applications,
PAMI(41), No. 7, July 2019, pp. 1681-1694.
IEEE DOI 1906
Image reconstruction, Spatial resolution, Image restoration, Microscopy, Interpolation, Rendering (computer graphics), depth assisted rendering BibRef

Wu, G.C.[Gao-Chang], Liu, Y.B.[Ye-Bin], Dai, Q.H.[Qiong-Hai], Chai, T.Y.[Tian-You],
Learning Sheared EPI Structure for Light Field Reconstruction,
IP(28), No. 7, July 2019, pp. 3261-3273.
IEEE DOI 1906
convolutional neural nets, image reconstruction, learning (artificial intelligence), depth information, convolutional neural network BibRef

Wu, G.C.[Gao-Chang], Zhao, M.[Mandan], Wang, L.Y.[Liang-Yong], Dai, Q.H.[Qiong-Hai], Chai, T.Y.[Tian-You], Liu, Y.B.[Ye-Bin],
Light Field Reconstruction Using Deep Convolutional Network on EPI,
CVPR17(1638-1646)
IEEE DOI 1711
Estimation, Image reconstruction, Image restoration, Kernel, Microscopy, Spatial resolution BibRef

Kirkpatrick, K.[Keith],
The Edge of Computational Photography,
CACM(62), No. 7, July 2019, pp. 14-16.
DOI Link 1907
News item. Thanks to the use of computational photographic technologies, which utilize algorithms to adjust photographic parameters in order to optimize them for specific situations, users with little or no photographic training can often achieve excellent results. BibRef

An, J.[Jaepung], Park, S.[Sanghun], Ihm, I.[Insung],
Construction of a flexible and scalable 4D light field camera array using Raspberry Pi clusters,
VC(35), No. 10, October 2018, pp. 1475-1488.
WWW Link. 1909
BibRef

Monteiro, N.B.[Nuno Barroso], Gaspar, J.A.[José António],
Standard Plenoptic Camera Calibration for a Range of Zoom and Focus Levels,
IbPRIA19(II:309-321).
Springer DOI 1910
BibRef

Zhang, Q.[Qi], Zhang, C.P.[Chun-Ping], Ling, J.B.[Jin-Bo], Wang, Q.[Qing], Yu, J.Y.[Jing-Yi],
A Generic Multi-Projection-Center Model and Calibration Method for Light Field Cameras,
PAMI(41), No. 11, November 2019, pp. 2539-2552.
IEEE DOI 1910
Cameras, Geometry, Calibration, Solid modeling, Computational modeling, Image reconstruction, calibration BibRef

Zhang, Q.[Qi], Ling, J.[Jinbo], Wang, Q.[Qing], Yu, J.Y.[Jing-Yi],
Ray-Space Projection Model for Light Field Camera,
CVPR19(10113-10121).
IEEE DOI 2002
BibRef

Li, N.Y.[Nian-Yi], Lin, H.T.[Hai-Ting], Sun, B.L.[Bi-Lin], Zhou, M.Y.[Ming-Yuan], Yu, J.Y.[Jing-Yi],
Rotational Crossed-Slit Light Fields,
CVPR16(4405-4413)
IEEE DOI 1612
BibRef

Li, N.Y.[Nian-Yi], Ye, J.W.[Jin-Wei], Ji, Y.[Yu], Ling, H.B.[Hai-Bin], Yu, J.Y.[Jing-Yi],
Saliency Detection on Light Field,
CVPR14(2806-2813)
IEEE DOI 1409
BibRef

Komatsu, K.[Koji], Isechi, K.[Kohei], Takahashi, K.[Keita], Fujii, T.[Toshiaki],
Light Field Coding Using Weighted Binary Images,
IEICE(E102-D), No. 11, November 2019, pp. 2110-2119.
WWW Link. 1912
BibRef
Earlier: A1, A3, A4, Only:
Scalable Light Field Coding Using Weighted Binary Images,
ICIP18(903-907)
IEEE DOI 1809
Encoding, Image coding, Image color analysis, Decoding, Rate-distortion, Computational complexity, Video codecs, Scalable coding BibRef

Couillaud, J.[Julien], Ziou, D.[Djemel],
Light field variational estimation using a light field formation model,
VC(36), No. 2, February 2020, pp. 237-251.
WWW Link. 2002
BibRef

Couillaud, J.[Julien], Ziou, D.[Djemel], Benzaoui, W.[Wafa],
Light Field Estimation in the Ultraviolet Spectrum,
ICIAR17(660-670).
Springer DOI 1706
BibRef

Matysiak, P., Grogan, M., Le Pendu, M., Alain, M., Zerman, E., Smolic, A.,
High Quality Light Field Extraction and Post-Processing for Raw Plenoptic Data,
IP(29), 2020, pp. 4188-4203.
IEEE DOI 2002
Light fields, image coding, colour transfer, image enhancement, image denoising BibRef

Matysiak, P., Grogan, M., Le Pendu, M., Alain, M., Smolic, A.,
A Pipeline for Lenslet Light Field Quality Enhancement,
ICIP18(639-643)
IEEE DOI 1809
Image color analysis, Cameras, Pipelines, Colored noise, Interpolation, Sensor arrays, Light Fields, Lenslet Decoding, Plenoptic RAW Processing BibRef

Zhang, J.[Jun], Liu, Y.M.[Ya-Mei], Zhang, S.P.[Sheng-Ping], Poppe, R.[Ronald], Wang, M.[Meng],
Light Field Saliency Detection With Deep Convolutional Networks,
IP(29), 2020, pp. 4421-4434.
IEEE DOI 2002
Saliency detection, light field, micro-lens images, angular changes, deep neural network BibRef

Verhack, R., Sikora, T., van Wallendael, G., Lambert, P.,
Steered Mixture-of-Experts for Light Field Images and Video: Representation and Coding,
MultMed(22), No. 3, March 2020, pp. 579-593.
IEEE DOI 2003
Kernel, Encoding, Cameras, Image coding, Solid modeling, Image reconstruction, Image resolution, Mixture of experts, bayesian modeling BibRef

Jing, X.[Xiuxiu], Ma, Y.[Yike], Zhao, Q.A.[Qi-Ang], Lyu, K.[Ke], Dai, F.[Feng],
Light Field Reconstruction Using Dynamically Generated Filters,
MMMod20(I:3-13).
Springer DOI 2003
BibRef

Boominathan, V.[Vivek], Adams, J.K.[Jesse K.], Robinson, J.T.[Jacob T.], Veeraraghavan, A.[Ashok],
PhlatCam: Designed Phase-Mask Based Thin Lensless Camera,
PAMI(42), No. 7, July 2020, pp. 1618-1629.
IEEE DOI 2006
Cameras, Image reconstruction, Lenses, lensless imaging, diffractive masks, 3D imagin BibRef

Fu, Y.G.[Yong-Gan], Zhang, Y.[Yang], Wang, Y.[Yue], Lu, Z.H.[Zhi-Han], Boominathan, V.[Vivek], Veeraraghavan, A.[Ashok], Lin, Y.Y.[Ying-Yan],
SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam,
ICCV21(5148-5157)
IEEE DOI 2203
Image segmentation, Cameras, Particle measurements, Classification algorithms, Efficient training and inference methods BibRef

Asif, M.S., Ayremlou, A., Veeraraghavan, A., Baraniuk, R., Sankaranarayanan, A.,
FlatCam: Replacing Lenses with Masks and Computation,
Extreme15(663-666)
IEEE DOI 1602
Apertures, Calibration, Cameras, Image reconstruction, Lenses, Prototypes BibRef

Wang, Y., Wu, T., Yang, J., Wang, L., An, W., Guo, Y.,
DeOccNet: Learning to See Through Foreground Occlusions in Light Fields,
WACV20(118-127)
IEEE DOI 2006
Decoding, Cameras, Feature extraction, Machine learning, Task analysis, Image resolution, Convolutional codes BibRef

Liu, C., Shih, K., Huang, J., Chen, H.H.,
Light Field Synthesis by Training Deep Network in the Refocused Image Domain,
IP(29), 2020, pp. 6630-6640.
IEEE DOI 2007
Light fields, Image quality, Feature extraction, Cameras, Image resolution, Measurement, Training, Light field, view synthesis, image refocusing BibRef

Li, L., Li, Z., Li, B., Liu, D., Li, H.,
Quadtree-Based Coding Framework for High-Density Camera Array-Based Light Field Image,
CirSysVideo(30), No. 8, August 2020, pp. 2694-2708.
IEEE DOI 2008
Image coding, Encoding, Correlation, Bit rate, Cameras, Spatial resolution, Video coding, 2D hierarchical coding structure BibRef

Wu, Y.C.[Ying-Chun], Wang, Y.[Yumei], Liang, J.[Jie], Bajic, I.V.[Ivan V.], Wang, A.H.[An-Hong],
Light field all-in-focus image fusion based on spatially-guided angular information,
JVCIR(72), 2020, pp. 102878.
Elsevier DOI 1806
Light field camera, Micro-lens array, All-in-focus image fusion, Spatial information, Guided filtering BibRef

Monteiro, N.B., Barreto, J.P., Gaspar, J.A.,
Standard Plenoptic Cameras Mapping to Camera Arrays and Calibration Based on DLT,
CirSysVideo(30), No. 11, November 2020, pp. 4090-4099.
IEEE DOI 2011
Cameras, Lenses, Calibration, Microoptics, Geometry, Sensor arrays, Standard plenoptic camera, viewpoint camera array, DLT calibration BibRef

Brites, C.[Catarina], Ascenso, J.[Joao], Pereira, F.[Fernando],
Lenslet Light Field Image Coding: Classifying, Reviewing and Evaluating,
CirSysVideo(31), No. 1, January 2021, pp. 339-354.
IEEE DOI 2101
Cameras, Taxonomy, Encoding, Visualization, Spatial resolution, Light field image coding, lenslet, taxonomy, micro-image
See also Correlation Noise Modeling for Efficient Pixel and Transform Domain Wyner-Ziv Video Coding. BibRef

Meng, N.[Nan], So, H.K.H.[Hayden K.H.], Sun, X.[Xing], Lam, E.Y.[Edmund Y.],
High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction,
PAMI(43), No. 3, March 2021, pp. 873-886.
IEEE DOI 2102
Image reconstruction, Convolution, Estimation, Image restoration, Feature extraction, Correlation, Light field super-resolution, deep learning BibRef

Zhang, S.[Shansi], Lam, E.Y.[Edmund Y.],
A Deep Retinex Framework for Light Field Restoration under Low-light Conditions,
ICPR22(2042-2048)
IEEE DOI 2212
Reflectivity, Training, Image color analysis, Lighting, Feature extraction, Light fields, Image restoration BibRef

Zhao, S.Y.[Sheng-Yang], Chen, Z.B.[Zhi-Bo],
Various density light field image coding based on distortion minimization interpolation,
JVCIR(75), 2021, pp. 103036.
Elsevier DOI 2103
Light field image, View partition, Camera array, Image compression, View synthesis, Linear approximation BibRef

Hahne, C.[Christopher], Aggoun, A.[Amar],
PlenoptiCam v1.0: A Light-Field Imaging Framework,
IP(30), 2021, pp. 6757-6771.
IEEE DOI 2108
Cameras, Calibration, Lenses, Pipelines, Image color analysis, Tools, Licenses, Plenoptic, light-field, calibration, color transfer BibRef

Silva, J.C.[Juan Casavílca], Saadi, M.[Muhammad], Wuttisittikulkij, L.[Lunchakorn], Militani, D.R.[Davi Ribeiro], Rosa, R.L.[Renata Lopes], Rodríguez, D.Z.[Demóstenes Zegarra], Al Otaibi, S.[Sattam],
Light-Field Imaging Reconstruction Using Deep Learning Enabling Intelligent Autonomous Transportation System,
ITS(23), No. 2, February 2022, pp. 1587-1595.
IEEE DOI 2202
Image reconstruction, Deep learning, Convolution, Spatial resolution, Correlation, Image quality, Cameras, intelligent transportation systems BibRef

Zhang, Q.[Qi], Wang, Q.[Qing], Li, H.D.[Hong-Dong], Yu, J.Y.[Jing-Yi],
Ray-Space Epipolar Geometry for Light Field Cameras,
PAMI(44), No. 7, July 2022, pp. 3705-3718.
IEEE DOI 2206
Cameras, Calibration, Transmission line matrix methods, Projective geometry, Mathematical model, Plücker parameterization BibRef

Xiao, Z.L.[Zhao-Lin], Shi, J.L.[Jing-Lei], Jiang, X.R.[Xiao-Ran], Guillemot, C.[Christine],
Axial refocusing precision model with light fields,
SP:IC(106), 2022, pp. 116721.
Elsevier DOI 2206
Light field, Computational photography, Axial resolution, Sampling analysis, Digital refocusing BibRef

Alain, M.[Martin], Smolic, A.[Aljosa],
Spectral analysis of re-parameterized light fields,
SP:IC(108), 2022, pp. 116751.
Elsevier DOI 2209
Light field imaging, Plenoptic sampling, Image-based rendering BibRef

Zhang, M.[Miao], Xu, S.[Shuang], Piao, Y.[Yongri], Lu, H.C.[Hu-Chuan],
Exploring Spatial Correlation for Light Field Saliency Detection: Expansion From a Single View,
IP(31), 2022, pp. 6152-6163.
IEEE DOI 2210
Saliency detection, Feature extraction, Correlation, Object detection, Data mining, Pipelines, Light field synthesis, spatial correlation BibRef

Alam, M.Z.[M. Zeshan], Gunturk, B.K.[Bahadir K.],
Light field extraction from a conventional camera,
SP:IC(109), 2022, pp. 116845.
Elsevier DOI 2210
Light field camera, Deconvolution, PSF estimation BibRef

Matsuura, K.[Kotaro], Tsutake, C.[Chihiro], Takahashi, K.[Keita], Fujii, T.[Toshiaki],
Unrolled Network for Light Field Display,
IEICE(E105-D), No. 10, October 2022, pp. 1721-1725.
WWW Link. 2210
BibRef

Hemachandra, S.[Sahan], Rodrigo, R.[Ranga], Edussooriya, C.U.S.[Chamira U.S.],
Fast and accurate light field saliency detection through deep encoding,
SP:IC(110), 2023, pp. 116888.
Elsevier DOI 2212
Light fields, Saliency detection, Feature extractor, Fast algorithms, Convolutional neural networks BibRef

Li, Y.N.[Ya-Ning], Wang, X.[Xue], Zhu, H.[Hao], Zhou, G.Q.[Guo-Qing], Wang, Q.[Qing],
Dense light field reconstruction based on epipolar focus spectrum,
PR(140), 2023, pp. 109551.
Elsevier DOI 2305
Light field representation, Epipolar focus spectrum (EFS), Dense light field reconstruction, Depth independent, Frequency domain BibRef

Li, Y.N.[Ya-Ning], Wang, X.[Xue], Zhou, G.Q.[Guo-Qing], Zhu, H.[Hao], Wang, Q.[Qing],
Sheared Epipolar Focus Spectrum for Dense Light Field Reconstruction,
PAMI(46), No. 5, May 2024, pp. 3108-3122.
IEEE DOI 2404
Image reconstruction, Superresolution, Light fields, Fourier transforms, Task analysis, Reconstruction algorithms, LF reconstruction BibRef

Gao, W.[Wei], Fan, S.L.[Song-Lin], Li, G.[Ge], Lin, W.S.[Wei-Si],
A Thorough Benchmark and a New Model for Light Field Saliency Detection,
PAMI(45), No. 7, July 2023, pp. 8003-8019.
IEEE DOI 2306
Light fields, Annotations, Saliency detection, Feature extraction, Task analysis, Cameras, Benchmark, focal stack, light field, salient object detection BibRef

Hamad, M.[Maryam], Conti, C.[Caroline], Nunes, P.[Paulo], Soares, L.D.[Luís Ducla],
Hyperpixels: Flexible 4D Over-Segmentation for Dense and Sparse Light Fields,
IP(32), 2023, pp. 3790-3805.
IEEE DOI 2307
Image segmentation, Measurement, Light fields, Image color analysis, Visualization, Videos, supervoxel BibRef

Lo, I.C.[I-Chan], Chen, H.H.[Homer H.],
Acquiring 360° Light Field by a Moving Dual-Fisheye Camera,
IP(32), 2023, pp. 4677-4688.
IEEE DOI 2309
BibRef

Zhang, S.[Shansi], Lam, E.Y.[Edmund Y.],
Light Field Image Restoration via Latent Diffusion and Multi-View Attention,
SPLetters(31), 2024, pp. 1094-1098.
IEEE DOI 2405
Noise, Image restoration, Training, Task analysis, Low-frequency noise, Feature extraction, Noise reduction, multi-view attention BibRef

Chlubna, T.[Tomáš], Milet, T.[Tomáš], Zemcík, P.[Pavel],
Lightweight all-focused light field rendering,
CVIU(244), 2024, pp. 104031.
Elsevier DOI 2405
Light field, Plane sweep, Image-based, Rendering, GPU BibRef

Chlubna, T.[Tomáš], Milet, T.[Tomáš], Zemcík, P.[Pavel],
Efficient random-access GPU video decoding for light-field rendering,
JVCIR(102), 2024, pp. 104201.
Elsevier DOI 2407
Light field, Plane sweep, Image-based, Rendering, GPU, Focusing BibRef

Lyu, X.Q.[Xian-Qiang], Hou, J.H.[Jun-Hui],
Enhancing Low-Light Light Field Images With a Deep Compensation Unfolding Network,
IP(33), 2024, pp. 4131-4144.
IEEE DOI Code:
WWW Link. 2407
Noise, Lighting, Optimization, Low frequency noise, Image restoration, Image enhancement, Brightness, Light fields, algorithm unrolling BibRef

Zhang, S.[Shansi], Zhao, Y.P.[Ya-Ping], Lam, E.Y.[Edmund Y.],
Semi-Supervised Semantic Segmentation for Light Field Images Using Disparity Information,
IP(33), 2024, pp. 4516-4528.
IEEE DOI 2408
Semantic segmentation, Feature extraction, Training, Estimation, Costs, Semantics, Contrastive learning, Light field (LF), contrastive learning BibRef

Teng, M.G.[Ming-Gui], Lou, H.Y.[Han-Yue], Yang, Y.X.[Yi-Xin], Huang, T.J.[Tie-Jun], Shi, B.X.[Bo-Xin],
Hybrid All-in-Focus Imaging From Neuromorphic Focal Stack,
PAMI(46), No. 12, December 2024, pp. 10124-10137.
IEEE DOI 2411
BibRef
Earlier: A2, A1, A3, A5, Only:
All-in-Focus Imaging from Event Focal Stack,
CVPR23(17366-17375)
IEEE DOI 2309
Neuromorphics, Cameras, Image reconstruction, Imaging, Streams, Photography, Merging, All-in-focus imaging, hybrid camera system, neuromorphic camera BibRef

Liu, Z.Y.[Zheng-Yi], Wang, L.Z.[Long-Zhen], Fang, X.Y.[Xian-Yong], Tu, Z.Z.[Zheng-Zheng], Wang, L.[Linbo],
LFSamba: Marry SAM With Mamba for Light Field Salient Object Detection,
SPLetters(31), 2024, pp. 3144-3148.
IEEE DOI 2411
Feature extraction, Annotations, Adaptation models, Solid modeling, Object detection, Transformers, Convolution, Costs, Virtual reality, salient object detection BibRef

Liu, F.[Fei], Wang, Y.L.[Yun-Long], Yang, Q.[Qing], Zhou, S.[Shubo], Zhang, K.[Kunbo],
A comprehensive research on light field imaging: Theory and application,
IET-CV(18), No. 8, 2024, pp. 1269-1284.
DOI Link 2501
cameras, image capture, image processing, image sampling BibRef

Li, T.S.[Tian-Shu], Wang, S.G.[Shi-Gang],
Joint Generating Terminal Correction Imaging method for modular LED integral imaging systems,
CVIU(252), 2025, pp. 104279.
Elsevier DOI 2502
Integral imaging, Lens module array, Element image, Correction matrix BibRef

Chen, L.D.[Li-De], Weng, L.Q.[Li-Qun], Cheng, H.C.[Hao-Chien], Cheng, A.Y.[An-Yu], Huang, C.T.[Chao-Tsung],
Temporal Fusion: Continuous-Time Light Field Video Factorization,
IP(34), 2025, pp. 955-968.
IEEE DOI 2502
Light fields, Visualization, Tensors, Optimization, Liquid crystal displays, Spatial resolution, Prototypes, non-negative factorization BibRef

Li, D.[David], Varshney, A.[Amitabh],
Progressive Multi-Scale Light Field Networks,
3DV22(231-241)
IEEE DOI 2408
Filtering, Neural networks, Streaming media, Rendering (computer graphics), Light fields, Real-time systems, levels of detail BibRef

Martins, T.B.[Tomás Berriel], Civera, J.[Javier],
Ray-Patch: An Efficient Querying for Light Field Transformers,
3DV24(365-375)
IEEE DOI 2408
BibRef
Earlier: REDLCV23(1150-1155)
IEEE DOI 2401
Measurement, Computational modeling, Computer architecture, Transformers, Feature extraction, Light fields, Vectors, Light field, Efficient. BibRef

Zhang, J.Y.[Jing-Yang], Yao, Y.[Yao], Li, S.W.[Shi-Wei], Liu, J.B.[Jing-Bo], Fang, T.[Tian], McKinnon, D.[David], Tsin, Y.H.[Yang-Hai], Quan, L.[Long],
NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation,
ICCV23(3578-3587)
IEEE DOI 2401
BibRef

Duong, V.V.[Vinh Van], Huu, T.N.[Thuc Nguyen], Yim, J.[Jonghoon], Jeon, B.W.[Byeung-Woo],
End-to-End Learned Light Field Image Rescaling Using Joint Spatial-Angular and Epipolar Information,
ICIP23(1935-1939)
IEEE DOI 2312
BibRef

Yu, H.[Heng], Julin, J.[Joel], Milacski, Z.Á.[Zoltán Á.], Niinuma, K.[Koichiro], Jeni, L.A.[László A.],
DyLiN: Making Light Field Networks Dynamic,
CVPR23(12397-12406)
IEEE DOI 2309
BibRef

Cong, R.X.[Rui-Xuan], Yang, D.[Da], Chen, R.S.[Rong-Shan], Wang, S.[Sizhe], Cui, Z.L.[Zheng-Long], Sheng, H.[Hao],
Combining Implicit-Explicit View Correlation for Light Field Semantic Segmentation,
CVPR23(9172-9181)
IEEE DOI 2309
BibRef

Li, Y.M.[Yi-Ming], Cong, R.X.[Rui-Xuan], Wang, S.[Sizhe], Zhao, M.Y.[Ming-Yuan], Zhang, Y.[Yang], Li, F.P.[Fang-Ping], Sheng, H.[Hao],
Multi-view Semantic Information Guidance for Light Field Image Segmentation,
LightField23(3454-3462)
IEEE DOI 2309
BibRef

Li, J.X.[Jun-Xuan], Shi, Y.J.[Yu-Jiao], Li, H.D.[Hong-Dong],
Neural Plenoptic Sampling: Learning Light-field from Thousands of Imaginary Eyes,
ACCV22(I:36-54).
Springer DOI 2307
BibRef

Gan, X.Q.[Xiang-Qi], Zhu, C.J.[Chang-Jian], Bai, M.Q.[Meng-Qin], Wei, Y.[Ying], Chen, W.Y.[Wei-Yan],
A Spectrum Dependent Depth Layered Model for Optimization Rendering Quality of Light Field,
MMMod23(II: 459-470).
Springer DOI 2304
BibRef

Chen, W.[Weiyan], Zhu, C.J.[Chang-Jian], Zhang, S.[Shan], Xiang, S.[Sen],
An Occlusion Model for Spectral Analysis of Light Field Signal,
MMMod23(II: 79-90).
Springer DOI 2304
BibRef

Attal, B.[Benjamin], Huang, J.B.[Jia-Bin], Zollhöfer, M.[Michael], Kopf, J.[Johannes], Kim, C.[Changil],
Learning Neural Light Fields with Ray-Space Embedding,
CVPR22(19787-19797)
IEEE DOI 2210
Photography, Interpolation, Memory management, Rendering (computer graphics), Light fields, Reflection, Low-level vision BibRef

Mizuno, R.[Ryoya], Takahashi, K.[Keita], Yoshida, M.[Michitaka], Tsutake, C.[Chihiro], Fujii, T.[Toshiaki], Nagahara, H.[Hajime],
Acquiring a Dynamic Light Field through a Single-Shot Coded Image,
CVPR22(19798-19808)
IEEE DOI 2210
Image coding, Volume measurement, Apertures, Cameras, Light fields, Encoding, Software, Computational photography, Physics-based vision and shape-from-X BibRef

Ost, J.[Julian], Laradji, I.[Issam], Newell, A.[Alejandro], Bahat, Y.[Yuval], Heide, F.[Felix],
Neural Point Light Fields,
CVPR22(18398-18408)
IEEE DOI 2210
Point cloud compression, Training, Photography, Predictive models, Rendering (computer graphics), Light fields, Vision + graphics BibRef

Suhail, M.[Mohammed], Esteves, C.[Carlos], Sigal, L.[Leonid], Makadia, A.[Ameesh],
Light Field Neural Rendering,
CVPR22(8259-8269)
IEEE DOI 2210
Training, Solid modeling, Computational modeling, Aggregates, Rendering (computer graphics), Transformers, Vision + graphics BibRef

Feng, M.T.[Ming-Tao], Liu, K.D.[Ken-Dong], Zhang, L.[Liang], Yu, H.S.[Hong-Shan], Wang, Y.N.[Yao-Nan], Mian, A.[Ajmal],
Learning from Pixel-Level Noisy Label: A New Perspective for Light Field Saliency Detection,
CVPR22(1746-1756)
IEEE DOI 2210
Image analysis, Correlation, Shape, Training data, Light fields, Sensors, RGBD sensors and analytics, grouping and shape analysis BibRef

Feng, B.Y.S.[Brandon Yu-Shan], Varshney, A.[Amitabh],
SIGNET: Efficient Neural Representation for Light Fields,
ICCV21(14204-14213)
IEEE DOI 2203
Training, Visualization, Image color analysis, Neural networks, Superresolution, Light fields, Image and video synthesis, Representation learning BibRef

Govindarajan, S.[Shrisudhan], Shedligeri, P.[Prasan], Sarah, Mitra, K.[Kaushik],
Synthesizing Light Field Video from Monocular Video,
ECCV22(VII:162-180).
Springer DOI 2211
BibRef

Shedligeri, P.[Prasan], Schiffers, F.[Florian], Ghosh, S.[Sushobhan], Cossairt, O.[Oliver], Mitra, K.[Kaushik],
SeLFVi: Self-supervised Light-Field Video Reconstruction from Stereo Video,
ICCV21(2471-2481)
IEEE DOI 2203
Training, Interpolation, Extrapolation, Stereo image processing, Video sequences, Supervised learning, Light fields, Image and video synthesis BibRef

Michels, T.[Tim], Koch, R.[Reinhard],
Ray Tracing-Guided Design of Plenoptic Cameras,
3DV21(1125-1133)
IEEE DOI 2201
Optical design, Cameras, Optical imaging, Optical sensors, Task analysis, Microoptics, Plenoptic Camera, Light Field, Ray Tracing BibRef

Chao, C.H.[Chun-Hao], Liu, C.L.[Chang-Le], Chen, H.H.[Homer H.],
Robust Light Field Synthesis from Stereo Images With Left-Right Geometric Consistency,
ICIP21(1844-1848)
IEEE DOI 2201
Deep learning, Image resolution, Convolution, Pipelines, Light fields, light field synthesis, light field reconstruction, deep learning BibRef

Zhong, T., Jin, X., Tong, K.,
3D-CNN Autoencoder for Plenoptic Image Compression,
VCIP20(209-212)
IEEE DOI 2102
Image coding, Transform coding, Spatial resolution, Convolutional codes, Training, 3D-CNN BibRef

Matysiak, P., Grogan, M., Aenchbacher, W., Smolic, A.,
Soft Colour Segmentation On Light Fields,
ICIP20(2621-2625)
IEEE DOI 2011
Image color analysis, Image segmentation, Histograms, Cameras, Estimation, Semantics, Light Fields, Soft Colour Segmentation, Colour Editing BibRef

Alain, M., Smolic, A.,
A Spatio-Angular Binary Descriptor For Fast Light Field Inter View Matching,
ICIP20(2636-2640)
IEEE DOI 2011
Estimation, Detectors, Human computer interaction, Benchmark testing, Geometry, Disparity Estimation BibRef

Völker, T., Boisson, G., Chupeau, B.,
Learning Light Field Synthesis with Multi-Plane Images: Scene Encoding as a Recurrent Segmentation Task,
ICIP20(633-637)
IEEE DOI 2011
Visualization, Indexes, Color, Light field, View synthesis, Multi-plane Image (MPI), Convolutional Neural Network (CNN) BibRef

Li, Z.Q.[Zheng-Qi], Xian, W.Q.[Wen-Qi], Davis, A.[Abe], Snavely, N.[Noah],
Crowdsampling the Plenoptic Function,
ECCV20(I:178-196).
Springer DOI 2011
BibRef

Wang, T., Piao, Y., Lu, H., Li, X., Zhang, L.,
Deep Learning for Light Field Saliency Detection,
ICCV19(8837-8847)
IEEE DOI 2004
Code, Saliency.
WWW Link. feature extraction, image representation, image sampling, image segmentation, learning (artificial intelligence), Image color analysis BibRef

Blocker, C.J., Fessler, J.A.,
Blind Unitary Transform Learning for Inverse Problems in Light-Field Imaging,
CLI19(3933-3942)
IEEE DOI 2004
Transforms, Cameras, Image reconstruction, Apertures, Spatial resolution, Dictionaries, light field, sparsity, adaptive, filter bank BibRef

Dansereau, D.G.[Donald G.], Girod, B.[Bernd], Wetzstein, G.[Gordon],
LiFF: Light Field Features in Scale and Depth,
CVPR19(8034-8043).
IEEE DOI 2002
BibRef

Michels, T., Petersen, A., Koch, R.,
Creating Realistic Ground Truth Data for the Evaluation of Calibration Methods for Plenoptic and Conventional Cameras,
3DV19(434-442)
IEEE DOI 1911
Cameras, Calibration, Lenses, Rendering (computer graphics), Microoptics, Ray tracing, Distortion, Camera Simulation, Camera Calibration BibRef

Wang, P.[Pei], Jin, X.[Xin], Dai, Q.H.[Qiong-Hai],
Light Field Stitching Targeting Focal Length Inconsistency,
ICIP19(2901-2905)
IEEE DOI 1910
LF stitching, refocus matching, focal length inconsistency, CSI-based 4D warping BibRef

Meng, N., Zeng, T., Lam, E.Y.,
Spatial and Angular Reconstruction of Light Field Based on Deep Generative Networks,
ICIP19(4659-4663)
IEEE DOI 1910
Light field reconstruction, generative adversarial networks, computational imaging, high-dimensional convolution, deep learning BibRef

Alain, M., Ozcinar, C., Smolic, A.,
A Study of Light Field Streaming for An Interactive Refocusing Application,
ICIP19(3761-3765)
IEEE DOI 1910
Light Fields, Streaming, Refocusing BibRef

Dümbgen, F., Schroers, C., Mitchell, K.,
Light Field Synthesis Using Inexpensive Surveillance Camera Systems,
ICIP19(744-748)
IEEE DOI 1910
Light field reconstruction, view synthesis, camera arrays, surveillance cameras, disparity estimation BibRef

Anisimov, Y.[Yuriy], Wasenmüller, O.[Oliver], Stricker, D.[Didier],
A Compact Light Field Camera for Real-Time Depth Estimation,
CAIP19(I:52-63).
Springer DOI 1909
BibRef

Guo, M.[Mantang], Zhu, H.[Hao], Zhou, G.Q.[Guo-Qing], Wang, Q.[Qing],
Dense Light Field Reconstruction from Sparse Sampling Using Residual Network,
ACCV18(VI:50-65).
Springer DOI 1906
BibRef

Zhang, Q.[Qi], Wang, Q.[Qing],
Common Self-polar Triangle of Concentric Conics for Light Field Camera Calibration,
ACCV18(VI:18-33).
Springer DOI 1906
BibRef

Michels, T., Petersen, A., Palmieri, L., Koch, R.,
Simulation of Plenoptic Cameras,
3DTV-CON18(1-4)
IEEE DOI 1812
cameras, image refocusing, depth calculations, image degradation effects, Blender model, Blender BibRef

Mohan, M.R.M., Rajagopalan, A.N.,
Divide and Conquer for Full-Resolution Light Field Deblurring,
CVPR18(6421-6429)
IEEE DOI 1812
Cameras, Lenses, Spatial resolution, Computational modeling, Optimization BibRef

Alperovich, A., Johannsen, O., Strecke, M., Goldluecke, B.,
Light Field Intrinsics with a Deep Encoder-Decoder Network,
CVPR18(9145-9154)
IEEE DOI 1812
Task analysis, Decoding, Training, Encoding, Convolution BibRef

Baradad, M., Ye, V., Yedidia, A.B., Durand, F., Freeman, W.T., Wornell, G.W., Torralba, A.,
Inferring Light Fields from Shadows,
CVPR18(6267-6275)
IEEE DOI 1812
Image reconstruction, Nonlinear optics, Geometry, Sparse matrices, Cameras BibRef

Dima, E., Sjöström, M., Olsson, R., Kjellqvist, M., Litwic, L., Zhang, Z., Rasmusson, L., Flodén, L.,
Life: A Flexible Testbed for Light Field Evaluation,
3DTV-CON18(1-4)
IEEE DOI 1812
network interfaces, rendering (computer graphics), transcoding, light field evaluation system, end-to-end light field systems, 360 video BibRef

Ahmad, W., Palmieri, L., Koch, R., Sjöström, M.,
Matching Light Field Datasets from Plenoptic Cameras 1.0 and 2.0,
3DTV-CON18(1-4)
IEEE DOI 1812
cameras, image reconstruction, image resolution, image sensors, microlenses, optical design techniques, angular information, Dataset BibRef

Yöntem, A.Ö., Chu, D.,
Design of Micro Photon Sieve Arrays for High Resolution Light-Field Capture in Plenoptic Cameras,
3DTV-CON18(1-4)
IEEE DOI 1812
cameras, diffractive optical elements, image processing, image reconstruction, image resolution, image sensors, image acquisition BibRef

O'Brien, S., Trumpf, J., Ila, V., Mahony, R.,
Calibrating Light-Field Cameras Using Plenoptic Disc Features,
3DV18(286-294)
IEEE DOI 1812
calibration, cameras, image reconstruction, parameter estimation, plenoptic cameras, plenoptic disc feature types, plenoptic cameras BibRef

Yeung, H.W.F.[Henry Wing Fung], Hou, J.H.[Jun-Hui], Chen, J.[Jie], Chung, Y.Y.[Yuk Ying], Chen, X.M.[Xiao-Ming],
Fast Light Field Reconstruction with Deep Coarse-to-Fine Modeling of Spatial-Angular Clues,
ECCV18(VI: 138-154).
Springer DOI 1810
BibRef

Fujita, S., Takahashi, K., Fujii, T.,
How Should we Handle 4D Light Fields with CNNS?,
ICIP18(2600-2604)
IEEE DOI 1809
Training, Pipelines, Image restoration, Image resolution, Noise reduction, denoising BibRef

Alam, M.Z., Gunturk, B.K.,
Deconvolution Based Light Field Extraction from a Single Image Capture,
ICIP18(420-424)
IEEE DOI 1809
Cameras, Apertures, Spatial resolution, Calibration, Estimation, Image reconstruction, light field imaging, depth estimation from a single image BibRef

Ardebili, M., Erdmann, A.,
Point Spread and Illumination Analysis of Lightfield Cameras,
ICIP18(659-663)
IEEE DOI 1809
Lenses, Microoptics, Cameras, Optical diffraction, Optical imaging, Diffraction, Computational modeling, Lightfield, ENZ theory BibRef

Blocker, C.J., Chun, Y., Fessler, J.A.,
Low-Rank Plus Sparse Tensor Models for Light-field Reconstruction from Focal Stack Data,
IVMSP18(1-5)
IEEE DOI 1809
Tensile stress, Image reconstruction, Sparse matrices, Cameras, Estimation, Convergence BibRef

Boukhris, S., Bonatto, D., Lafruit, G.,
Low-cost plenoptic camera with off-the-shelf components,
IC3D17(1-7)
IEEE DOI 1804
cameras, filtering theory, image resolution, multiplexing equipment, aliasing artifacts, camera array, view synthesis BibRef

Akpinar, U., Sahin, E., Gotchev, A.,
Simulation of microlens array based plenoptic capture utilizing densely sampled light field,
3DTV-CON17(1-4)
IEEE DOI 1804
Apertures, Cameras, Lenses, Microoptics, Rendering (computer graphics), Sensor arrays, simulation BibRef

Ziegler, M.[Matthias], op het Veld, R.[Ron], Keinert, J.[Joachim], Zilly, F.[Frederik],
Acquisition system for dense lightfield of large scenes,
3DTV-CON17(1-4)
IEEE DOI 1804
calibration, cameras, image capture, image reconstruction, image resolution, image sensors, natural scenes, DSLR camera, self-calibration BibRef

Tian, J., Murez, Z., Cui, T., Zhang, Z., Kriegman, D., Ramamoorthi, R.,
Depth and Image Restoration from Light Field in a Scattering Medium,
ICCV17(2420-2429)
IEEE DOI 1802
estimation theory, image restoration, scattering, densely scattering media, image degradation, Scattering BibRef

Xiong, Z.W.[Zhi-Wei], Wang, L.Z.[Li-Zhi], Li, H.Q.[Hui-Qun], Liu, D.[Dong], Wu, F.[Feng],
Snapshot Hyperspectral Light Field Imaging,
CVPR17(6873-6881)
IEEE DOI 1711
Cameras, Dictionaries, Hyperspectral imaging, Image reconstruction, Image resolution BibRef

Dansereau, D.G., Schuster, G., Ford, J., Wetzstein, G.,
A Wide-Field-of-View Monocentric Light Field Camera,
CVPR17(3757-3766)
IEEE DOI 1711
Cameras, Image resolution, Image sensors, Lenses, Optical sensors. BibRef

Sabater, N., Boisson, G., Vandame, B., Kerbiriou, P., Babon, F., Hog, M., Gendrot, R., Langlois, T., Bureller, O., Schubert, A., Allié, V.,
Dataset and Pipeline for Multi-view Light-Field Video,
LightField17(1743-1753)
IEEE DOI 1709
Apertures, Calibration, Cameras, Estimation, Heuristic algorithms, Image color analysis, Pipelines BibRef

Doster, T.[Timothy], Olson, C.C.[Colin C.], Fleet, E.[Erin], Yetzbacher, M.[Michael],
Selecting an Optimized COTS Filter Set for Multispectral Plenoptic Sensing,
PBVS17(293-301)
IEEE DOI 1709
Cameras, Object detection, Optical filters, Optical imaging, Optimization, Sensors BibRef

Nieto, G., Devernay, F., Crowley, J.L.,
Linearizing the Plenoptic Space,
LightField17(1714-1725)
IEEE DOI 1709
Cameras, Image reconstruction, Optical imaging, Optical refraction, Optical variables control, Visualization BibRef

Palmieri, L., Koch, R.,
Optimizing the Lens Selection Process for Multi-focus Plenoptic Cameras and Numerical Evaluation,
LightField17(1763-1774)
IEEE DOI 1709
Calibration, Cameras, Estimation, Image color analysis, Lenses, Sensor arrays BibRef

Sulc, A.[Antonin], Johannsen, O.[Ole], Goldluecke, B.[Bastian],
Inverse Lightfield Rendering for Shape, Reflection and Natural Illumination,
EMMCVPR17(372-388).
Springer DOI 1805
BibRef

Alperovich, A.[Anna], Johannsen, O.[Ole], Strecke, M.[Michael], Goldluecke, B.[Bastian],
Shadow and Specularity Priors for Intrinsic Light Field Decomposition,
EMMCVPR17(389-406).
Springer DOI 1805
BibRef

Alperovich, A.[Anna], Goldluecke, B.[Bastian],
A Variational Model for Intrinsic Light Field Decomposition,
ACCV16(III: 66-82).
Springer DOI 1704
BibRef

Perra, C., Murgia, F., Giusto, D.,
An analysis of 3D point cloud reconstruction from light field images,
IPTA16(1-6)
IEEE DOI 1703
cameras BibRef

Zhao, S., Chen, Z.,
Light field image coding via linear approximation prior,
ICIP17(4562-4566)
IEEE DOI 1803
Cameras, Encoding, Image coding, Image reconstruction, Linear approximation, Linearity, Transform coding, LF image coding, view reconstruction BibRef

Zhao, S., Chen, Z., Yang, K., Huang, H.,
Light field image coding with hybrid scan order,
VCIP16(1-4)
IEEE DOI 1701
Cameras BibRef

Chang, J.[Julie], Kauvar, I.[Isaac], Hu, X.M.[Xue-Mei], Wetzstein, G.[Gordon],
Variable Aperture Light Field Photography: Overcoming the Diffraction-Limited Spatio-Angular Resolution Tradeoff,
CVPR16(3737-3745)
IEEE DOI 1612
BibRef

Diebold, M.[Maximilian], Jähne, B.[Bernd], Gatto, A.[Alexander],
Heterogeneous Light Fields,
CVPR16(1745-1753)
IEEE DOI 1612
To directly get depth. BibRef

Ferreira, R.[Rodrigo], Gonçalves, N.[Nuno],
Accurate and fast micro lenses depth maps from a 3D point cloud in light field cameras,
ICPR16(1893-1898)
IEEE DOI 1705
BibRef
And:
Fast and Accurate Micro Lenses Depth Maps for Multi-focus Light Field Cameras,
GCPR16(309-319).
Springer DOI 1611
Cameras, Computational modeling, Estimation, Image sensors, Lenses, Robots, Three-dimensional, displays BibRef

Kobayashi, S., Sugimura, D., Hamamoto, T.,
Two-layer light field imaging using an organic photoelectric conversion film,
ICIP16(1574-1578)
IEEE DOI 1610
Correlation BibRef

Sepas-Moghaddam, A., Correia, P.L., Pereira, F.,
Light field local binary patterns description for face recognition,
ICIP17(3815-3819)
IEEE DOI 1803
BibRef
And:
Light field denoising: exploiting the redundancy of an epipolar sequence representation,
3DTV-CON16(1-4)
IEEE DOI 1610
Cameras, Databases, Face, Face recognition, Feature extraction, Face Recognition, Light Field, Spatio-angular Information. image denoising BibRef

Zhang, Y., Xiong, H.,
A cost minimization with light field in scene depth MAP estimation,
ICIP16(1454-1458)
IEEE DOI 1610
Apertures BibRef

Sheng, H., Deng, S., Zhang, S., Li, C., Xiong, Z.,
Segmentation of light field image with the structure tensor,
ICIP16(1469-1473)
IEEE DOI 1610
Decision support systems BibRef

Ji, Z., Zhu, H., Wang, Q.,
LFHOG: A discriminative descriptor for live face detection from light field image,
ICIP16(1474-1478)
IEEE DOI 1610
Cameras BibRef

Chen, X., Dai, F., Ma, Y., Zhang, Y.,
Automatic foreground segmentation using light field images,
VCIP15(1-4)
IEEE DOI 1605
Estimation BibRef

Meng, L.F.[Ling-Fei], Berkner, K.[Kathrin],
Parallax rectification for spectrally-coded plenoptic cameras,
ICIP15(1305-1309)
IEEE DOI 1512
Plenoptic camera BibRef

Sun, C.[Chao], Wu, Y.Q.[Yi-Qun], Zeng, B.[Bing],
Synthesis of light-field raw data from RGB-D images,
ICIP15(1448-1452)
IEEE DOI 1512
RGB-D, light-field data, micro lens, refocusing BibRef

Martinello, M.[Manuel], Wajs, A.[Andrew], Quan, S.[Shuxue], Lee, H.[Hank], Lim, C.[Chien], Woo, T.[Taekun], Lee, W.[Wonho], Kim, S.S.[Sang-Sik], Lee, D.[David],
Dual Aperture Photography: Image and Depth from a Mobile Camera,
ICCP15(1-10)
IEEE DOI 1512
Apertures BibRef

Schillebeeckx, I.[Ian], Pless, R.[Robert],
Pose Hashing with Microlens Arrays,
ECCV16(III: 600-614).
Springer DOI 1611
BibRef
And:
Structured Light Field Design for Correspondence Free Rotation Estimation,
ICCP15(1-10)
IEEE DOI 1512
augmented reality BibRef

Bergamasco, F.[Filippo], Albarelli, A.[Andrea], Cosmo, L.[Luca], Torsello, A.[Andrea], Rodola, E.[Emanuele], Cremers, D.[Daniel],
Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction,
CVPR15(3003-3012)
IEEE DOI 1510
BibRef

Jeon, H.G.[Hae-Gon], Park, J.[Jaesik], Choe, G.[Gyeongmin], Park, J.[Jinsun], Bok, Y.[Yunsu], Tai, Y.W.[Yu-Wing], Kweon, I.S.[In So],
Accurate depth map estimation from a lenslet light field camera,
CVPR15(1547-1555)
IEEE DOI 1510
BibRef

Zhang, Z.T.[Zhou-Tong], Liu, Y.B.[Ye-Bin], Dai, Q.H.[Qiong-Hai],
Light field from micro-baseline image pair,
CVPR15(3800-3809)
IEEE DOI 1510
BibRef

Xu, S.[Shan], Zhou, Z.L.[Zhi-Liang], Devaney, N.[Nicholas],
Multi-view Image Restoration from Plenoptic Raw Images,
Restoration14(II: 3-15).
Springer DOI 1504
BibRef

Kamal, M.H.[Mahdad Hosseini], Favaro, P.[Paolo], Vandergheynst, P.[Pierre],
A Convex Solution to Disparity Estimation from Light Fields via the Primal-Dual Method,
EMMCVPR15(350-363).
Springer DOI 1504
BibRef

Kim, C.[Changil], Muller, U.[Ulrich], Zimmer, H.[Henning], Pritch, Y.[Yael], Sorkine-Hornung, A.[Alexander], Gross, M.[Markus],
Memory Efficient Stereoscopy from Light Fields,
3DV14(73-80)
IEEE DOI 1503
Cameras BibRef

Jeong, Y.M.[Young-Mo], Kim, J.H.[Jong-Hyun], Yeom, J.W.[Ji-Woon], Hong, K.[Keehoon], Lee, B.H.[Byoung-Ho],
Handheld light field camera for intergral imaging with pixel mapping algorithm,
IC3D13(1-4)
IEEE DOI 1503
cameras BibRef

Kodama, K.[Kazuya], Kubota, A.[Akira],
Linear view/image restoration for dense light fields,
ICIP14(5462-5466)
IEEE DOI 1502
Arrays BibRef

Pearson, J.[James], Visentini-Scarzanella, M.[Marco], Brookes, M.[Mike], Dragotti, P.L.[Pier Luigi],
Tilted layer-based modeling for enhanced light-field processing and image based rendering,
ICIP14(1917-1921)
IEEE DOI 1502
Cameras BibRef

Park, J.Y.[Jae Young], Tosic, I.[Ivana], Berkner, K.[Kathrin],
Plenoptic system identification using random calibration patterns,
ICIP14(51-55)
IEEE DOI 1502
Arrays, Calibration, Estimation, Imaging, Noise, Noise measurement, Vectors BibRef

Georgiev, T.[Todor], Tambe, S.[Salil], Lumsdaine, A.[Andrew], Gille, J.[Jennifer], Veeraraghavan, A.[Ashok],
The radon image as plenoptic function,
ICIP14(1922-1926)
IEEE DOI 1502
Cameras BibRef

Damghanian, M., Olsson, R., Sjostrom, M.,
Depth and angular resolution in plenoptic cameras,
ICIP15(3044-3048)
IEEE DOI 1512
Plenoptic capture BibRef

Damghanian, M., Olsson, R., Sjostrom, M., Erdmann, A., Perwass, C.,
Spatial resolution in a multi-focus plenoptic camera,
ICIP14(1932-1936)
IEEE DOI 1502
BibRef
Earlier: A1, A2, A3, Only:
Extraction of the lateral resolution in a plenoptic camera using the SPC model,
IC3D12(1-5)
IEEE DOI 1503
Analytical models. Monte Carlo methods BibRef

Stoker, D.[David], van der Laan, J.[Jan], Lavelle, E.[Eric], Sakai, C.[Christopher], Wedd, J.[Jonathan],
A computational photography shootout: Wavefront coding vs. lattice focal imaging,
ICIP14(31-35)
IEEE DOI 1502
Deconvolution BibRef

Kovacs, P.T.[Peter Tamas], Lackner, K.[Kristof], Barsi, A.[Attila], Adhikarla, V.K.[Vamsi Kiran], Bregovic, R.[Robert], Gotchev, A.[Atanas],
Analysis and optimization of pixel usage of light-field conversion from multi-camera setups to 3D light-field displays,
ICIP14(86-90)
IEEE DOI 1502
Cameras BibRef

Kovacs, P.T.[Peter Tamas], Lackner, K.[Kristof], Barsi, A.[Attila], Balazs, A.[Akos], Boev, A.[Atanas], Bregovic, R.[Robert], Gotchev, A.[Atanas],
Measurement of perceived spatial resolution in 3D light-field displays,
ICIP14(768-772)
IEEE DOI 1502
Distortion measurement BibRef

Ziegler, M.[Matthias], Zilly, F.[Frederik], Schaefer, P.[Peter], Keinert, J.[Joachim], Schoberl, M.[Michael], Foessel, S.[Siegfried],
Dense lightfield reconstruction from multi aperture cameras,
ICIP14(1937-1941)
IEEE DOI 1502
Apertures BibRef

Firmenich, D.[Damien], Baboulaz, L.[Loic], Susstrunk, S.[Sabine],
A practical method for measuring the spatial frequency response of light field cameras,
ICIP14(5776-5780)
IEEE DOI 1502
Cameras BibRef

Lindsay, C.[Clifford], Agu, E.[Emmanuel],
3D Previsualization Using a Computational Photography Camera,
ISVC14(II: 904-914).
Springer DOI 1501
BibRef

Antensteiner, D.[Doris], Štolc, S.[Svorad],
Full BRDF Reconstruction Using CNNs from Partial Photometric Stereo-Light Field Data,
LightField17(1726-1734)
IEEE DOI 1709
Cameras, Databases, Estimation, Image reconstruction, Lighting, Plastics BibRef

Fiss, J., Curless, B., Szeliski, R.S.,
Refocusing plenoptic images using depth-adaptive splatting,
ICCP14(1-9)
IEEE DOI 1411
adaptive estimation BibRef

Indrajit, K.[Kurmi], Venkatesh, K.S., Sumana, G.[Gupta],
True Zoom with Cylindrical Light Field System,
ICCVG14(278-285).
Springer DOI 1410
BibRef

Lin, H.[Haiting], Chen, C.[Can], Kang, S.B.[Sing Bing], Yu, J.Y.[Jing-Yi],
Depth Recovery from Light Field Using Focal Stack Symmetry,
ICCV15(3451-3459)
IEEE DOI 1602
Cameras BibRef

Chen, C.[Can], Lin, H.[Haiting], Yu, Z.[Zhan], Kang, S.B.[Sing Bing], Yu, J.Y.[Jing-Yi],
Light Field Stereo Matching Using Bilateral Statistics of Surface Cameras,
CVPR14(1518-1525)
IEEE DOI 1409
Bilateral Statistics, Light field stereo, Surface camera, occlusion BibRef

Baker, H., Wanner, S., Papadas, C., Vo, S.,
Building camera arrays for light-field capture, display, and analysis,
3DTV-CON14(1-4)
IEEE DOI 1409
cameras BibRef

Yang, T.[Tao], Zhang, Y.N.[Yan-Ning], Yu, J.Y.[Jing-Yi], Li, J.[Jing], Ma, W.G.[Wen-Guang], Tong, X.M.[Xiao-Min], Yu, R.[Rui], Ran, L.Y.[Ling-Yan],
All-In-Focus Synthetic Aperture Imaging,
ECCV14(VI: 1-15).
Springer DOI 1408
BibRef

Raynor, R., Walli, K.,
Plenoptic camera range finding,
AIPR13(1-11)
IEEE DOI 1408
cameras BibRef

Reddy, D., Bai, J., Ramamoorthi, R.,
External Mask Based Depth and Light Field Camera,
CDC4CV13(37-44)
IEEE DOI 1403
cameras BibRef

Boominathan, V., Mitra, K.[Kaushik], Veeraraghavan, A.[Ashok],
Improving resolution and depth-of-field of light field cameras using a hybrid imaging system,
ICCP14(1-10)
IEEE DOI 1411
image capture BibRef

Tulyakov, S.[Stepan], Lee, T.H.[Tae Hee], Han, H.[Heechul],
Quadratic formulation of disparity estimation problem for light-field camera,
ICIP13(2063-2067)
IEEE DOI 1402
Bayesian formulation BibRef

Lin, Y.T.[Yen-Ting], Tosic, I.[Ivana], Berkner, K.[Kathrin],
Occlusion-aware layered scene recovery from light fields,
ICIP13(295-299)
IEEE DOI 1402
Atomic layer deposition BibRef

Dansereau, D.G.[Donald G.], Pizarro, O.[Oscar], Williams, S.B.[Stefan B.],
Decoding, Calibration and Rectification for Lenselet-Based Plenoptic Cameras,
CVPR13(1027-1034)
IEEE DOI 1309
camera calibration, image rectification, light field, plenoptic BibRef

Tagawa, S.[Seiichi], Mukaigawa, Y.[Yasuhiro], Yagi, Y.S.[Yasu-Shi],
8-D reflectance field for computational photography,
ICPR12(2181-2185).
WWW Link. 1302
BibRef

Baek, J.[Jongmin],
Transfer efficiency and depth invariance in computational cameras,
ICCP10(1-8).
IEEE DOI 1208
BibRef

Liang, C.K.[Chia-Kai], Liu, G.[Gene], Chen, H.H.[Homer H.],
Light Field Acquisition using Programmable Aperture Camera,
ICIP07(V: 233-236).
IEEE DOI 0709
BibRef

Zhang, C.[Cha], Chen, T.H.[Tsu-Han],
Light Field Capturing with Lensless Cameras,
ICIP05(III: 792-795).
IEEE DOI 0512
BibRef

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Light Field Image Quality Assessment .