8.3.10 Shadow Detection, Removal and Extraction

Chapter Contents (Back)
Shadow Detection. Shadow Removal.
See also Cloud Detection, Extraction and Removal.
See also Three-Dimensional Information from Shadows.
See also Cloud Shadows, Combined Cloud and Shadow, Extraction and Removal.
See also Object Removal, Inpainting After Removing Objects.
See also Intrinsic Image Analysis, Intrinsic Image Decomposition.

Hambrick, L.N.[Larry N.], Loew, M.H.[Murray H.], and Carroll, Jr., R.L.[Robert L.],
The Entry-Exit Method of Shadow Boundary Segmentation,
PAMI(9), No. 5, September 1987, pp. 597-607. This uses the shhadow geometry to interpret objects. The E-E refers to the fact that the light ray enters and exits at the shadow boundary. BibRef 8709

Charit, R., Loew, M.H.,
Complex Shadow-Boundary Segmentation Using the Entry-Exit Method,
CVPR88(536-541).
IEEE DOI BibRef 8800

Jiang, C.X., Ward, M.O.,
Shadow Segmentation and Classification in a Constrained Environment,
CVGIP(59), No. 2, March 1994, pp. 213-225.
DOI Link BibRef 9403
Earlier:
Shadow Identification,
CVPR92(606-612).
IEEE DOI Segmentation, Shadows. Analysis of cast and self shadows, a scanline adjustment procedure. BibRef

Udomkesmalee, S., Zhu, D.Q., Chu, C.C.,
Image Processing for Planetary Limb/Terminator Extraction,
CVIU(67), No. 3, September 1997, pp. 274-284.
DOI Link 9710
BibRef

Stauder, J., Mech, R., Ostermann, J.,
Detection of Moving Cast Shadows for Object Segmentation,
MultMed(1), No. 1, March 1999, pp. 65-76. Edges and texture to find background areas. BibRef 9903

Mech, R.[Roland], Ostermann, J.[Joern], Stauder, J.[Jurgen],
Method for detecting moving cast shadows object segmentation,
US_Patent6,349,113, Feb 19, 2002
WWW Link. BibRef 0202

Giles, P.T.[Philip T.],
Remote Sensing and Cast Shadows in Mountainous Terrain,
PhEngRS(67), No. 7, July 2001, pp. 833-840. Shadow Detection. Algorithm for delineating cast shadows is evaluated.
WWW Link. 0108
BibRef

Maeda, M.[Mitsuru],
Image processing apparatus and method, and image processing system,
US_Patent6,625,316, Sep 23, 2003
WWW Link. BibRef 0309

Salvador, E.[Elena], Cavallaro, A.[Andrea], Ebrahimi, T.[Touradj],
Cast shadow segmentation using invariant color features,
CVIU(95), No. 2, August 2004, pp. 238-259.
Elsevier DOI 0409
BibRef
Earlier:
Shadow Identification and Classification Using Invariant Color Models,
ICASSP01(1545-1548). Use spectral and geometric aspects of shadows. Hypothesize based on dark, verify with color and regions. BibRef

Cavallaro, A., Salvador, E., Ebrahimi, T.[Touradj],
Shadow-aware object-based video processing,
VISP(152), No. 4, August 2005, pp. 398-406.
DOI Link 0512
BibRef

Cavallaro, A., Ebrahimi, T.,
Video Object Extraction Based on Adaptive Background and Statistical Change Detection,
SPIE(4310), (465-475), 2000. BibRef 0001

Ramamoorthi, R.[Ravi], Koudelka, M.[Melissa], Belhumeur, P.N.[Peter N.],
A Fourier Theory for Cast Shadows,
PAMI(27), No. 2, February 2005, pp. 288-295.
IEEE Abstract. 0501
BibRef
Earlier: ECCV04(Vol I: 146-162).
Springer DOI 0405
BibRef

Xu, D.[Dong], Li, X.L.[Xue-Long], Liu, Z.K.[Zheng-Kai], Yuan, Y.[Yuan],
Cast shadow detection in video segmentation,
PRL(26), No. 1, 1 January 2005, pp. 91-99.
Elsevier DOI 0501
BibRef

Levine, M.D.[Martin D.], Bhattacharyya, J.[Jisnu],
Removing shadows,
PRL(26), No. 3, February 2005, pp. 251-265.
Elsevier DOI 0501
Find shadow boundaries. Assign image values from unshaded area. BibRef

Wang, Y.[Yang], Loe, K.F.[Kia-Fock], Wu, J.K.[Jian-Kang],
A Dynamic Conditional Random Field Model for Foreground and Shadow Segmentation,
PAMI(28), No. 2, February 2006, pp. 279-289.
IEEE DOI 0601
Indoor video. Integrate intensity and gradient techniques. Update models for nonstationary processes. BibRef

Wang, Y.,
Real-Time Moving Vehicle Detection With Cast Shadow Removal in Video Based on Conditional Random Field,
CirSysVideo(19), No. 3, March 2009, pp. 437-441.
IEEE DOI 0903

See also Joint Random Fields for Moving Vehicle Detection. BibRef

Wang, Y.[Yang],
Foreground and Shadow Detection Based on Conditional Random Field,
CAIP07(85-92).
Springer DOI 0708
BibRef

Wang, Y.[Yang], Tan, T.L.[Te-Le], Loe, K.F.[Kia-Fock], Wu, J.K.[Jian-Kang],
A probabilistic approach for foreground and shadow segmentation in monocular image sequences,
PR(38), No. 11, November 2005, pp. 1937-1946.
Elsevier DOI 0509
BibRef
Earlier: A1, A3, A2, A4:
A Dynamic Hidden Markov Random Field Model for Foreground and Shadow Segmentation,
WACV05(I: 474-480).
IEEE DOI 0502
BibRef

Dare, P.M.[Paul M.],
Shadow Analysis in High-Resolution Satellite Imagery of Urban Areas,
PhEngRS(71), No. 2, February 2005, pp. 169-178. Shadow detection and removal in commercial high resolution satellite imagery of urban areas for improved image interpretation.
WWW Link. 0509
BibRef

Yao, J.[Jian], Zhang, Z.F.M.[Zhong-Fei Mark],
Hierarchical shadow detection for color aerial images,
CVIU(102), No. 1, April 2006, pp. 60-69.
Elsevier DOI 0604
BibRef
Earlier:
Systematic static shadow detection,
ICPR04(II: 76-79).
IEEE DOI 0409
Supervised classification; Markov random field; Relaxation labelling; EM algorithm; Reliable graph; Aerial image BibRef

Leone, A.[Alessandro], Distante, C.[Cosimo], Buccolieri, F.[Francesco],
A shadow elimination approach in video-surveillance context,
PRL(27), No. 5, 1 April 2006, pp. 345-355.
Elsevier DOI 0604
BibRef
Earlier:
A texture-based approach for shadow detection,
AVSBS05(371-376).
IEEE DOI 0602
Frame theory; Gabor dictionary; Texture analysis; Video-surveillance BibRef

Leone, A.[Alessandro], Distante, C.[Cosimo],
Shadow detection for moving objects based on texture analysis,
PR(40), No. 4, April 2007, pp. 1222-1233.
Elsevier DOI 0701
Shadow detection; Texture analysis; Frame theory; Gabor dictionaries; Visual surveillance BibRef

Spagnolo, P.[Paolo], d'Orazio, T.[Tiziana], Leo, M.[Marco], Distante, A.[Arcangelo],
Advances in Background Updating and Shadow Removing for Motion Detection Algorithms,
CAIP05(398).
Springer DOI 0509
BibRef

Spagnolo, P., Mazzeo, P.L., Leo, M., d'Orazio, T.,
Shadows Removal by Edges Matching,
ISVC09(II: 440-449).
Springer DOI 0911
BibRef

Branca, A., Attolico, G., Distante, A.,
Cast shadow removing in foreground segmentation,
ICPR02(I: 214-217).
IEEE DOI 0211
BibRef

Tsai, V.J.D.,
A Comparative Study on Shadow Compensation of Color Aerial Images in Invariant Color Models,
GeoRS(44), No. 6, June 2006, pp. 1661-1671.
IEEE DOI 0606
BibRef

Wang, M., Shi, W.,
Sensor Noise Effects of the SWIR Bands on MODIS-Derived Ocean Color Products,
GeoRS(50), No. 9, September 2012, pp. 3280-3292.
IEEE DOI 1209
BibRef

Huang, S.S.[Shih-Shinh], Fu, L.C.[Li-Chen], Hsiao, P.Y.[Pei-Yung],
Region-Level Motion-Based Background Modeling and Subtraction Using MRFs,
IP(16), No. 5, May 2007, pp. 1446-1456.
IEEE DOI 0704
BibRef
Earlier:
Region-Level Motion-Based Foreground Detection with Shadow Removal Using MRFs,
ACCV06(I:878-887).
Springer DOI 0601
BibRef

Huang, S.S.[Shih-Shinh], Fu, L.C.[Li-Chen], Hsiao, P.Y.[Pei-Yung],
Region-Level Motion-Based Foreground Segmentation Under a Bayesian Network,
CirSysVideo(19), No. 4, April 2009, pp. 522-532.
IEEE DOI 0906
BibRef
Earlier:
A Bayesian Network for Foreground Segmentation in Region Level,
ACCV07(II: 124-133).
Springer DOI 0711
BibRef

Martel-Brisson, N.[Nicolas], Zaccarin, A.[Andre],
Learning and Removing Cast Shadows through a Multidistribution Approach,
PAMI(29), No. 7, July 2007, pp. 1133-1146.
IEEE DOI 0706
BibRef
Earlier:
Moving Cast Shadow Detection from a Gaussian Mixture Shadow Model,
CVPR05(II: 643-648).
IEEE DOI 0507
BibRef

Martel-Brisson, N.[Nicolas], Zaccarin, A.[Andre],
Kernel-based learning of cast shadows from a physical model of light sources and surfaces for low-level segmentation,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Doshi, A.[Anup], Trivedi, M.M.[Mohan Manubhai],
Satellite imagery based adaptive background models and shadow suppression,
SIViP(1), No. 2, June 2007, pp. 119-132.
Springer DOI 0707
BibRef

Fredembach, C.[Clement], Finlayson, G.D.[Graham D.],
The 1.5D sieve algorithm,
PRL(29), No. 5, 1 April 2008, pp. 629-636.
Elsevier DOI 0802
Hamiltonian paths; Sieves; Texture classification BibRef

Fredembach, C.[Clement], Finlayson, G.D.[Graham D.],
Simple Shadow Removal,
ICPR06(I: 832-835).
IEEE DOI 0609
BibRef
Earlier:
Hamiltonian path based shadow removal,
BMVC05(xx-yy).
HTML Version. 0509
BibRef

Benedek, C.[Csaba], Szirányi, T.[Tamás],
Bayesian Foreground and Shadow Detection in Uncertain Frame Rate Surveillance Videos,
IP(17), No. 4, April 2008, pp. 608-621.
IEEE DOI 0803
BibRef
Earlier:
Markovian Framework for Foreground-Background-Shadow Separation of Real World Video Scenes,
ACCV06(I:898-907).
Springer DOI 0601
BibRef

Sohn, H.G.[Hong-Gyoo], Yun, K.H.[Kong-Hyun],
Shadow-Effect Correction in Aerial Color Imagery,
PhEngRS(74), No. 5, May 2008, pp. 611-618.
WWW Link. 0804
A method to detect and remove cast shadow including diverse surface features. BibRef

Qiao, J.P.[Jian-Ping], Liu, J.[Ju], Chen, Y.W.[Yen-Wei],
Joint Blind Super-Resolution and Shadow Removing,
IEICE(E90-D), No. 12, December 2007, pp. 2060-2069.
DOI Link 0712
BibRef

Han, X.H.[Xian-Hua], Nakao, Z.[Zensho], Chen, Y.W.[Yen-Wei], Kodama, R.[Ryosuke],
An ICA-Domain Shrinkage Based Poisson-Noise Reduction Algorithm and Its Application to Penumbral Imaging,
IEICE(E88-D), No. 4, April 2005, pp. 750-757.
DOI Link 0504
BibRef

Chung, K.L., Lin, Y.R., Huang, Y.H.,
Efficient Shadow Detection of Color Aerial Images Based on Successive Thresholding Scheme,
GeoRS(47), No. 2, February 2009, pp. 671-682.
IEEE DOI 0903
BibRef

Yang, M.T., Lo, K.H., Chiang, C.C., Tai, W.K.,
Moving cast shadow detection by exploiting multiple cues,
IET-IPR(2), No. 2, April 2008, pp. 95-104.
DOI Link 0905
BibRef

Finlayson, G.D.[Graham D.], Hordley, S.D.[Steven D.], Lu, C.[Cheng], Drew, M.S.[Mark S.],
On the Removal of Shadows from Images,
PAMI(28), No. 1, January 2006, pp. 59-68.
IEEE DOI 0512
Derive a 1D gray-scale representation for each pixel that is illumination independent. Use to relight all pixels to create a shadow free image. BibRef

Finlayson, G.D., Hordley, S.D., Drew, M.S.,
Removing Shadows from Images,
ECCV02(IV: 823 ff.).
Springer DOI 0205
BibRef

Finlayson, G.D.[Graham D.], Drew, M.S.[Mark S.], Lu, C.[Cheng],
Entropy Minimization for Shadow Removal,
IJCV(85), No. 1, October 2009, pp. xx-yy.
Springer DOI 0907
BibRef
Earlier:
Intrinsic Images by Entropy Minimization,
ECCV04(Vol III: 582-595).
Springer DOI 0405
Recover invariant image from color. Eliminate shadows, etc. Expand on
See also On the Removal of Shadows from Images.
See also Reevaluation of color constancy algorithm performance. BibRef

Tian, J., Sun, J., Tang, Y.,
Tricolor Attenuation Model for Shadow Detection,
IP(18), No. 10, October 2009, pp. 2355-2363.
IEEE DOI 0909
BibRef

Irie, K.[Kenji], McKinnon, A.E.[Alan E.], Unsworth, K.[Keith], Woodhead, I.M.[Ian M.],
Noise-bound method for detecting shadow-free scene changes in image sequences,
JOSA-A(27), No. 2, February 2010, pp. 167-173.
WWW Link. 1002
BibRef
Earlier:
An investigation into noise-bound shadow detection and removal,
IVCNZ08(1-6).
IEEE DOI 0811
BibRef

Suganthan, S.[Shanmugalingam], MacDonald, L.W.[Lindsay W.],
Correcting image defects of stained glass windows,
IJIST(18), No. 5-6, 2008, pp. 296-306.
DOI Link 0804
BibRef

Suganthan, S.[Shanmugalingam], MacDonald, L.W.[Lindsay W.],
Shadow removal from image of stained glass windows,
IJIST(20), No. 3, September 2010, pp. 223-236.
DOI Link 1008
BibRef

Su, Y.F., Chen, H.H.,
A Three-Stage Approach to Shadow Field Estimation From Partial Boundary Information,
IP(19), No. 10, October 2010, pp. 2749-2760.
IEEE DOI 1003
BibRef

Mcfeely, R., Hughes, C., Jones, E., Glavin, M.,
Removal of non-uniform complex and compound shadows from textured surfaces using adaptive directional smoothing and the thin plate model,
IET-IPR(5), No. 3, June 2011, pp. 233-248.
DOI Link 1105
BibRef

Mcfeely, R., Glavin, M., Jones, E.,
Shadow identification for digital imagery using colour and texture cues,
IET-IPR(6), No. 2, 2012, pp. 148-159.
DOI Link 1204
BibRef

Arbel, E.[Eli], Hel-Or, H.[Hagit],
Shadow Removal Using Intensity Surfaces and Texture Anchor Points,
PAMI(33), No. 6, June 2011, pp. 1202-1216.
IEEE DOI 1105
BibRef
Earlier:
Texture-Preserving Shadow Removal in Color Images Containing Curved Surfaces,
CVPR07(1-8).
IEEE DOI 0706
From single image. Deal with multiple phenomena. BibRef

Makarau, A., Richter, R., Muller, R., Reinartz, P.,
Adaptive Shadow Detection Using a Blackbody Radiator Model,
GeoRS(49), No. 6, June 2011, pp. 2049-2059.
IEEE DOI 1106
BibRef

Liu, Z.[Zhou], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
Cast Shadow Removal in a Hierarchical Manner Using MRF,
CirSysVideo(22), No. 1, January 2012, pp. 56-66.
IEEE DOI 1201
BibRef

Liu, Z.[Zhou], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu], Wang, L.S.[Liang-Sheng],
Cast Shadow Removal Combining Local and Global Features,
VS07(1-8).
IEEE DOI 0706
BibRef
Earlier:
Cast Shadow Removal with GMM for Surface Reflectance Component,
ICPR06(I: 727-730).
IEEE DOI 0609
BibRef

Liu, J.H.[Jia-Hang], Fang, T.[Tao], Li, D.R.[De-Ren],
Shadow Detection in Remotely Sensed Images Based on Self-Adaptive Feature Selection,
GeoRS(49), No. 12, December 2011, pp. 5092-5103.
IEEE DOI 1201
BibRef

Bringier, B.[Benjamin], Bony, A.[Alexandre], Khoudeir, M.[Majdi],
Specularity and shadow detection for the multisource photometric reconstruction of a textured surface,
JOSA-A(29), No. 1, January 2012, pp. 11-21.
WWW Link. 1201
BibRef

Al-Najdawi, N.[Nijad], Bez, H.E.[Helmut E.], Singhai, J.[Jyoti], Edirisinghe, E.A.[Eran A.],
A survey of cast shadow detection algorithms,
PRL(33), No. 6, 15 April 2012, pp. 752-764.
Elsevier DOI 1203
Cast shadow; Shadow modelling; Shadow detection; Shadow removal; Shadow algorithm taxonomy; Shadow segmentation BibRef

Yang, Q.X.[Qing-Xiong], Tan, K.H., Ahuja, N.[Narendra],
Shadow Removal Using Bilateral Filtering,
IP(21), No. 10, October 2012, pp. 4361-4368.
IEEE DOI 1209

See also Real-Time Specular Highlight Removal Using Bilateral Filtering. BibRef

Yang, Q.X.[Qing-Xiong], Ahuja, N.[Narendra], Tan, K.H.[Kar-Han],
Constant Time Median and Bilateral Filtering,
IJCV(112), No. 3, May 2015, pp. 307-318.
WWW Link. 1505
BibRef

Zhu, S., Guo, Z., Ma, L.,
Shadow removal with background difference method based on shadow position and edges attributes,
JIVP(2012), No. 1 2012, pp. 22.
DOI Link 1211
BibRef

Panagopoulos, A.[Alexandros], Wang, C.H.[Chao-Hui], Samaras, D.[Dimitris], Paragios, N.[Nikos],
Simultaneous Cast Shadows, Illumination and Geometry Inference Using Hypergraphs,
PAMI(35), No. 2, February 2013, pp. 437-449.
IEEE DOI 1301
BibRef
Earlier:
Illumination estimation and cast shadow detection through a higher-order graphical model,
CVPR11(673-680).
IEEE DOI 1106
BibRef

Vicente, T.F.Y.[Tomas F. Yago], Hoai, M., Samaras, D.[Dimitris],
Leave-One-Out Kernel Optimization for Shadow Detection and Removal,
PAMI(40), No. 3, March 2018, pp. 682-695.
IEEE DOI 1609
BibRef
Earlier:
Noisy Label Recovery for Shadow Detection in Unfamiliar Domains,
CVPR16(3783-3792)
IEEE DOI 1612
BibRef
Earlier:
Leave-One-Out Kernel Optimization for Shadow Detection,
ICCV15(3388-3396)
IEEE DOI 1602
Kernel, Labeling, Lighting, Optimization, Support vector machines, Training, Training data, Shadow detection, kernel optimization, shadow removal. Error analysis BibRef

Hou, L.[Le], Vicente, T.F.Y.[Tomás F. Yago], Hoai, M.[Minh], Samaras, D.[Dimitris],
Large Scale Shadow Annotation and Detection Using Lazy Annotation and Stacked CNNs,
PAMI(43), No. 4, April 2021, pp. 1337-1351.
IEEE DOI 2103
Training, Image segmentation, Semantics, Noise measurement, Light sources, Lighting, Deep learning, Shadow detection, large scale data collection BibRef

Panagopoulos, A.[Alexandros], Vicente, T.F.Y.[Tomas F. Yago], Samaras, D.[Dimitris],
Illumination estimation from shadow borders,
Color11(798-805).
IEEE DOI 1201
BibRef

Panagopoulos, A.[Alexandros], Samaras, D.[Dimitris], Paragios, N.[Nikos],
Robust shadow and illumination estimation using a mixture model,
CVPR09(651-658).
IEEE DOI 0906
BibRef

Adeline, K.R.M., Chen, M., Briottet, X., Pang, S.K., Paparoditis, N.,
Shadow detection in very high spatial resolution aerial images: A comparative study,
PandRS(80), No. 1, June 2013, pp. 21-38.
Elsevier DOI 1305
Shadow detection; Urban areas; High spatial resolution; Multispectral and hyperspectral BibRef

Jiang, K.[Ke], Li, A.H.[Ai-Hua], Cui, Z.G.[Zhi-Gao], Wang, T.[Tao], Su, Y.Z.[Yan-Zhao],
Adaptive shadow detection using global texture and sampling deduction,
IET-CV(7), No. 2, 2013, pp. 115-122.
DOI Link 1307
BibRef

Tang, C.[Chu], Ahmad, M.O.[M. Omair], Wang, C.Y.[Chun-Yan],
An efficient method of cast shadow removal using multiple features,
SIViP(7), No. 4, July 2013, pp. 695-703.
WWW Link. 1306
BibRef

Chen, D.S.[De-Shan], Miyamoto, A.[Atsushi], Kaneko, S.[Shun'ichi],
Robust Surface Reconstruction in SEM Using Two BSE Detectors,
IEICE(E96-D), No. 10, October 2013, pp. 2224-2234.
WWW Link. 1310
Eliminate shadowing effects. BibRef

Guo, R.Q.[Rui-Qi], Dai, Q.[Qieyun], Hoiem, D.[Derek],
Paired Regions for Shadow Detection and Removal,
PAMI(35), No. 12, 2013, pp. 2956-2967.
IEEE DOI 1311
BibRef
Earlier:
Single-image shadow detection and removal using paired regions,
CVPR11(2033-2040).
IEEE DOI 1106
Histograms BibRef

Li, H.F.[Hui-Fang], Zhang, L.P.[Liang-Pei], Shen, H.F.[Huan-Feng],
A Perceptually Inspired Variational Method for the Uneven Intensity Correction of Remote Sensing Images,
GeoRS(50), No. 8, August 2012, pp. 3053-3065.
IEEE DOI 1208
BibRef

Li, H.F.[Hui-Fang], Zhang, L.P.[Liang-Pei], Shen, H.F.[Huan-Feng],
An Adaptive Nonlocal Regularized Shadow Removal Method for Aerial Remote Sensing Images,
GeoRS(52), No. 1, January 2014, pp. 106-120.
IEEE DOI 1402
geophysical image processing BibRef

Cheng, Q.[Qing], Shen, H.F.[Huan-Feng], Zhang, L.P.[Liang-Pei], Li, P.X.[Ping-Xiang],
Inpainting for Remotely Sensed Images With a Multichannel Nonlocal Total Variation Model,
GeoRS(52), No. 1, January 2014, pp. 175-187.
IEEE DOI 1402
geophysical image processing BibRef

Song, H., Huang, B., Zhang, K.,
Shadow Detection and Reconstruction in High-Resolution Satellite Images via Morphological Filtering and Example-Based Learning,
GeoRS(52), No. 5, May 2014, pp. 2545-2554.
IEEE DOI 1403
Example learning BibRef

Gu, L.[Lin], Robles-Kelly, A.[Antonio],
Shadow modelling based upon Rayleigh scattering and Mie theory,
PRL(43), No. 1, 2014, pp. 89-97.
Elsevier DOI 1404
BibRef
Earlier:
Shadow detection via Rayleigh scattering and Mie theory,
ICPR12(2165-2168).
WWW Link. 1302
Award, ICPR. Shadow detection BibRef

Yozevitch, R., Ben-Moshe, B., Dvir, A.,
GNSS Accuracy Improvement Using Rapid Shadow Transitions,
ITS(15), No. 3, June 2014, pp. 1113-1122.
IEEE DOI 1407
Accuracy BibRef

Rufenacht, D., Fredembach, C., Susstrunk, S.,
Automatic and Accurate Shadow Detection Using Near-Infrared Information,
PAMI(36), No. 8, August 2014, pp. 1672-1678.
IEEE DOI 1407
Ash BibRef

Elbakary, M., Iftekharuddin, K.M.,
Shadow Detection of Man-Made Buildings in High-Resolution Panchromatic Satellite Images,
GeoRS(52), No. 9, Sept 2014, pp. 5374-5386.
IEEE DOI 1407
artificial satellites BibRef

Zhang, H.Y.[Hong-Ya], Sun, K.M.[Kai-Min], Li, W.Z.[Wen-Zhuo],
Object-Oriented Shadow Detection and Removal from Urban High-Resolution Remote Sensing Images,
GeoRS(52), No. 11, November 2014, pp. 6972-6982.
IEEE DOI 1407
Correlation BibRef

Redelinghuys, F.[Ferdinand], Argyriou, V.[Vasileios], Petrou, M.[Maria],
Cast shadows estimation and synthesis using the Walsh transform,
PRL(48), No. 1, 2014, pp. 93-99.
Elsevier DOI 1410
Shadow estimation BibRef

Schulmann, T.[Tobias], Katurji, M.[Marwan], Zawar-Reza, P.[Peyman],
Seeing through shadow: Modelling surface irradiance for topographic correction of Landsat ETM+ data,
PandRS(99), No. 1, 2015, pp. 14-24.
Elsevier DOI 1502
Topographic correction BibRef

Yuan, X.S.[Xing-Sheng], Ebner, M., Wang, Z.Z.[Zheng-Zhi],
Single-image shadow detection and removal using local colour constancy computation,
IET-IPR(9), No. 2, 2015, pp. 118-126.
DOI Link 1503
image colour analysis BibRef

Mõttus, M.[Matti], Takala, T.L.H.[Tuure L.H.], Stenberg, P.[Pauline], Knyazikhin, Y.[Yuri], Yang, B.[Bin], Nilson, T.[Tiit],
Diffuse sky radiation influences the relationship between canopy PRI and shadow fraction,
PandRS(105), No. 1, 2015, pp. 54-60.
Elsevier DOI 1506
Vegetation BibRef

Li, H.[Hang], Zhang, Y.F.[Ya-Fei], Wang, J.B.[Jia-Bao], Xu, Y.L.[Yu-Long], Li, Y.[Yang], Pan, Z.S.[Zhi-Song],
Inequality-Constrained RPCA for Shadow Removal and Foreground Detection,
IEICE(E98-D), No. 6, June 2015, pp. 1256-1259.
WWW Link. 1505
BibRef

Zhang, L., Zhang, Q., Xiao, C.,
Shadow Remover: Image Shadow Removal Based on Illumination Recovering Optimization,
IP(24), No. 11, November 2015, pp. 4623-4636.
IEEE DOI 1509
Buildings BibRef

Tian, J.D.[Jian-Dong], Qi, X.J.[Xiao-Jun], Qu, L.Q.[Liang-Qiong], Tang, Y.D.[Yan-Dong],
New spectrum ratio properties and features for shadow detection,
PR(51), No. 1, 2016, pp. 85-96.
Elsevier DOI 1601
Spectrum ratio properties BibRef

Khan, S.H.[Salman Hameed], Bennamoun, M.[Mohammed], Sohel, F.A.[Ferdous A.], Togneri, R.[Roberto],
Automatic Shadow Detection and Removal from a Single Image,
PAMI(38), No. 3, March 2016, pp. 431-446.
IEEE DOI 1602
BibRef
Earlier:
Automatic Feature Learning for Robust Shadow Detection,
CVPR14(1939-1946)
IEEE DOI 1409
Bayes methods BibRef

Li, J.Y.[Jia-Yuan], Hu, Q.W.[Qing-Wu], Ai, M.Y.[Ming-Yao],
Joint Model and Observation Cues for Single-Image Shadow Detection,
RS(8), No. 6, 2016, pp. 484.
DOI Link 1608
BibRef

Hodul, M.[Matus], Knudby, A.[Anders], Ho, H.C.[Hung Chak],
Estimation of Continuous Urban Sky View Factor from Landsat Data Using Shadow Detection,
RS(8), No. 7, 2016, pp. 568.
DOI Link 1608
BibRef

Gong, H.[Han], Cosker, D.[Darren],
Interactive removal and ground truth for difficult shadow scenes,
JOSA-A(33), No. 9, September 2016, pp. 1798-1811.
DOI Link 1609
Image processing; Illumination BibRef
Earlier:
Interactive Shadow Removal and Ground Truth for Variable Scene Categories,
BMVC14(xx-yy).
HTML Version. 1410
BibRef
And:
Interactive Shadow Editing from Single Images,
UCCV14(243-252).
Springer DOI 1504
BibRef

Movia, A., Beinat, A., Crosilla, F.,
Shadow detection and removal in RGB VHR images for land use unsupervised classification,
PandRS(119), No. 1, 2016, pp. 485-495.
Elsevier DOI 1610
Shadow detection BibRef

Gomes, V.[Vitor], Barcellos, P.[Pablo], Scharcanski, J.[Jacob],
Stochastic shadow detection using a hypergraph partitioning approach,
PR(63), No. 1, 2017, pp. 30-44.
Elsevier DOI 1612
Shadow detection BibRef

Wang, Q.J.[Qiong-Jie], Yan, L.[Li], Yuan, Q.Q.[Qiang-Qiang], Ma, Z.L.[Zhen-Ling],
An Automatic Shadow Detection Method for VHR Remote Sensing Orthoimagery,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Hartzell, P.[Preston], Glennie, C.L.[Craig L.], Khan, S.[Shuhab],
Terrestrial Hyperspectral Image Shadow Restoration through Lidar Fusion,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Gong, H.[Han], Cosker, D.[Darren],
User-assisted image shadow removal,
IVC(62), No. 1, 2017, pp. 19-27.
Elsevier DOI 1706
Image shadow removal BibRef

Xu, M., Zhu, J.J.[Jie-Jie], Lv, P., Zhou, B., Tappen, M.F.[Marshall F.], Ji, R.,
Learning-Based Shadow Recognition and Removal From Monochromatic Natural Images,
IP(26), No. 12, December 2017, pp. 5811-5824.
IEEE DOI 1710
Gaussian processes, decision trees, image texture, Gaussian model, complex illumination condition, conditional random field, decision tree, hand-labeled shadows, high-quality shadow-free images, invariant color cues, learning-based shadow recognition, conditional random field, decision tree, BibRef

Zhu, J.J.[Jie-Jie], Samuel, K.G.G.[Kegan G.G.], Masood, S.Z.[Syed Z.], Tappen, M.F.[Marshall F.],
Learning to recognize shadows in monochromatic natural images,
CVPR10(223-230).
IEEE DOI 1006
Missing the chromatic information usually used. BibRef

He, K., Zhen, R., Yan, J., Ge, Y.,
Single-Image Shadow Removal Using 3D Intensity Surface Modeling,
IP(26), No. 12, December 2017, pp. 6046-6060.
IEEE DOI 1710
shadow image, shadow regions, single image shadow removal, Lighting, Solid modeling, Surface texture, Surface treatment, BibRef

Qu, L., Tian, J., He, S., Tang, Y., Lau, R.W.H.,
DeshadowNet: A Multi-context Embedding Deep Network for Shadow Removal,
CVPR17(2308-2316)
IEEE DOI 1711
Benchmark testing, Feature extraction, Image color analysis, Lighting, Semantics BibRef

Qu, L.Q.[Liang-Qiong], Tian, J.D.[Jian-Dong], Fan, H.J.[Hui-Jie], Li, W.T.[Wen-Tao], Tang, Y.D.[Yan-Dong],
Evaluation of shadow features,
IET-CV(12), No. 1, February 2018, pp. 95-103.
DOI Link 1801
BibRef

Kang, X., Huang, Y., Li, S., Lin, H., Benediktsson, J.A.[Jon Atli],
Extended Random Walker for Shadow Detection in Very High Resolution Remote Sensing Images,
GeoRS(56), No. 2, February 2018, pp. 867-876.
IEEE DOI 1802
image segmentation, object detection, remote sensing, support vector machines, Otsu-based thresholding method, support vector machine (SVM)
See also Advanced Directional Mathematical Morphology for the Detection of the Road Network in Very High Resolution Remote Sensing Images. BibRef

Silva, G.F.[Guilherme F.], Carneiro, G.B.[Grace B.], Doth, R.[Ricardo], Amaral, L.A.[Leonardo A.], de Azevedo, D.F.G.[Dario F.G.],
Near real-time shadow detection and removal in aerial motion imagery application,
PandRS(140), 2018, pp. 104-121.
Elsevier DOI 1805
Shadow detection, Shadow extraction, Image processing, Specthem ratio, Aerial images, GPU programming BibRef

Cameron, M.[Mark], Kumar, L.[Lalit],
Diffuse Skylight as a Surrogate for Shadow Detection in High-Resolution Imagery Acquired Under Clear Sky Conditions,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Zhang, L.[Ling], Yan, Q.[Qingan], Zhu, Y.[Yao], Zhang, X.L.[Xiao-Long], Xiao, C.X.[Chun-Xia],
Effective shadow removal via multi-scale image decomposition,
VC(35), No. 6-8, June 2018, pp. 1091-1104.
WWW Link. 1906
BibRef

Tang, J.[Jin], Luo, Q.[Qing], Guo, F.[Fan], Wu, Z.H.[Zhi-Hu], Xiao, X.M.[Xiao-Ming], Gao, Y.[Yan],
SDRNet: An end-to-end shadow detection and removal network,
SP:IC(84), 2020, pp. 115832.
Elsevier DOI 2004
Shadow detection, Shadow removal, Multi-scale, Direction features, SDRNet network BibRef

Chen, Z., Gao, T., Sheng, B., Li, P., Chen, C.L.P.,
Outdoor Shadow Estimating Using Multiclass Geometric Decomposition Based on BLS,
Cyber(50), No. 5, May 2020, pp. 2152-2165.
IEEE DOI 2005
Lighting, Sun, Estimation, Learning systems, Feature extraction, Neural networks, Classification algorithms, shadow synthesis BibRef

Macedo, M.C.F.[Márcio C. F.], Nascimento, V.P.[Verônica P.], Souza, A.C.S.[Antonio C. S.],
Real-time shadow detection using multi-channel binarization and noise removal,
RealTimeIP(17), No. 3, June 2020, pp. 479-492.
Springer DOI 2006
BibRef

Luo, S.[Shuang], Li, H.F.[Hui-Fang], Shen, H.F.[Huan-Feng],
Deeply supervised convolutional neural network for shadow detection based on a novel aerial shadow imagery dataset,
PandRS(167), 2020, pp. 443-457.
Elsevier DOI 2008
Deep learning, Convolution neural network, Shadow detection, Remote sensing images BibRef

Hu, X., Fu, C.W., Zhu, L., Qin, J., Heng, P.A.,
Direction-Aware Spatial Context Features for Shadow Detection and Removal,
PAMI(42), No. 11, November 2020, pp. 2795-2808.
IEEE DOI 2010
BibRef
Earlier: A1, A3, A2, A4, A5:
Direction-Aware Spatial Context Features for Shadow Detection,
CVPR18(7454-7462)
IEEE DOI 1812
Feature extraction, Image color analysis, Training, Semantics, Benchmark testing, Recurrent neural networks, Shadow detection, deep neural network. Feature extraction, Recurrent neural networks, Data models, Semantics, Entropy BibRef

Kim, J., Kim, W.,
Attentive Feedback Feature Pyramid Network for Shadow Detection,
SPLetters(27), 2020, pp. 1964-1968.
IEEE DOI 2011
Feature extraction, Convolution, Training, Computer architecture, Color, Clutter, Shadow detection, shadow-relevant features BibRef

Gopalakrishna, M.T.[Madigondanahalli Thimmaiah], Naveena, C.[Chikkaguddaiah],
Approach for shadow detection and removal using machine learning techniques,
IET-IPR(14), No. 13, November 2020, pp. 2998-3005.
DOI Link 2012
BibRef

Liu, Z., Yin, H., Mi, Y., Pu, M., Wang, S.,
Shadow Removal by a Lightness-Guided Network With Training on Unpaired Data,
IP(30), 2021, pp. 1853-1865.
IEEE DOI 2101
Training, Image color analysis, Generators, Computer architecture, Lighting, Feature extraction, Task analysis, Shadow removal, GANs BibRef

Hu, X., Wang, T., Fu, C.W., Jiang, Y., Wang, Q., Heng, P.A.,
Revisiting Shadow Detection: A New Benchmark Dataset for Complex World,
IP(30), 2021, pp. 1925-1934.
IEEE DOI 2101
Feature extraction, Training, Benchmark testing, Complexity theory, Buildings, Solid modeling, Roads, Shadow detection, deep neural network BibRef

Zhou, T.T.[Ting-Ting], Fu, H.Y.[Hao-Yang], Sun, C.L.[Cheng-Lin], Wang, S.H.[Sheng-Han],
Shadow Detection and Compensation from Remote Sensing Images under Complex Urban Conditions,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

He, S.F.[Sheng-Feng], Peng, B.[Bing], Dong, J.Y.[Jun-Yu], Du, Y.[Yong],
Mask-ShadowNet: Toward Shadow Removal via Masked Adaptive Instance Normalization,
SPLetters(28), 2021, pp. 957-961.
IEEE DOI 2106
Lighting, Feature extraction, Training, Neural networks, Task analysis, Predictive models, Adaptation models, masked adaptive instance normalization BibRef

Chaki, J.[Jyotismita],
Shadow detection from images using fuzzy logic and PCPerturNet,
IET-IPR(15), No. 10, 2021, pp. 2384-2397.
DOI Link 2108
BibRef

Oduncu, E.[Emrah], Yuksel, S.E.[Seniha Esen],
An in-depth analysis of hyperspectral target detection with shadow compensation via LiDAR,
SP:IC(99), 2021, pp. 116427.
Elsevier DOI 2111
Hyperspectral, LiDAR, Shadow correction, Target detection, Radiance model, Physics-guided machine learning BibRef

Inoue, N.[Naoto], Yamasaki, T.[Toshihiko],
Learning From Synthetic Shadows for Shadow Detection and Removal,
CirSysVideo(31), No. 11, November 2021, pp. 4187-4197.
IEEE DOI 2112
Lighting, Attenuation, Pipelines, Computational modeling, Cameras, Shape, Shadow removal, shadow detection BibRef

Wu, W.[Wen], Zhou, K.[Kai], Chen, X.D.[Xiao-Diao],
Single image shadow detection via uncertainty analysis and GCN-based refinement strategy,
JVCIR(82), 2022, pp. 103397.
Elsevier DOI 2201
Deep learning, Image processing, Shadow detection, Uncertainty quantification, Graph convolution networks BibRef

Li, G.Q.[Guo-Quan], Wen, L.Y.[Ling-Yun], Huang, Z.W.[Zheng-Wen], Xia, R.Y.[Rui-Yang], Pang, Y.[Yu],
Data augmentation and shadow image classification for shadow detection,
IET-IPR(16), No. 3, 2022, pp. 717-728.
DOI Link 2202
BibRef

Wu, W.[Wen], Zhou, K.[Kai], Chen, X.D.[Xiao-Diao], Yong, J.H.[Jun-Hai],
Light-weight shadow detection via GCN-based annotation strategy and knowledge distillation,
CVIU(216), 2022, pp. 103341.
Elsevier DOI 2202
Light-weight, Image processing, Graph convolutional network, Semi-supervised learning, Shadow detection BibRef

Huang, Y.[Ying], Yang, Z.[Zhen], Liu, S.[Su], Li, H.[Hao], Zhu, H.J.[Hong-Jun],
Research on edge-guided disambiguation module for shadow detection,
IET-IPR(16), No. 7, 2022, pp. 2025-2036.
DOI Link 2205
BibRef

Liu, X.X.[Xiao-Xia], Yang, F.B.[Feng-Bao], Wei, H.[Hong], Gao, M.[Min],
Shadow Removal from UAV Images Based on Color and Texture Equalization Compensation of Local Homogeneous Regions,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Liu, X.X.[Xiao-Xia], Yang, F.B.[Feng-Bao], Wei, H.[Hong], Gao, M.[Min],
Shadow Compensation from UAV Images Based on Texture-Preserving Local Color Transfer,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

He, Z.J.[Zhan-Jun], Zhang, Z.Z.[Zhi-Zheng], Guo, M.Q.[Ming-Qiang], Wu, L.[Liang], Huang, Y.[Ying],
Adaptive Unsupervised-Shadow-Detection Approach for Remote-Sensing Image Based on Multichannel Features,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Zhou, K.[Kai], Wu, W.[Wen], Shao, Y.L.[Yan-Li], Fang, J.L.[Jing-Long], Wang, X.Q.[Xing-Qi], Wei, D.[Dan],
Shadow detection via multi-scale feature fusion and unsupervised domain adaptation,
JVCIR(88), 2022, pp. 103596.
Elsevier DOI 2210
Image processing, Shadow detection, Unsupervised domain adaptation, Multi-scale feature fusion BibRef

Xie, Y.K.[Ya-Kun], Feng, D.J.[De-Jun], Chen, H.Y.[Hong-Yu], Liao, Z.Y.[Zi-Yang], Zhu, J.[Jun], Li, C.N.[Chuang-Nong], Baik, S.W.[Sung Wook],
An omni-scale global-local aware network for shadow extraction in remote sensing imagery,
PandRS(193), 2022, pp. 29-44.
Elsevier DOI 2210
Shadow extraction, Remote sensing imagery, Omni-scale global-local aware network, Convolutional neural network BibRef

Le, H.[Hieu], Samaras, D.[Dimitris],
Physics-Based Shadow Image Decomposition for Shadow Removal,
PAMI(44), No. 12, December 2022, pp. 9088-9101.
IEEE DOI 2212
BibRef
Earlier:
Shadow Removal via Shadow Image Decomposition,
ICCV19(8577-8586)
IEEE DOI 2004
Lighting, Deep learning, Training, Solid modeling, Image decomposition, Image color analysis, deep neural network. learning (artificial intelligence), neural nets, deep learning method, shadow formation, Image reconstruction BibRef

Wang, T.Y.[Tian-Yu], Hu, X.W.[Xiao-Wei], Heng, P.A.[Pheng-Ann], Fu, C.W.[Chi-Wing],
Instance Shadow Detection With a Single-Stage Detector,
PAMI(45), No. 3, March 2023, pp. 3259-3273.
IEEE DOI 2302
BibRef
Earlier: A1, A2, A4, A3:
Single-Stage Instance Shadow Detection with Bidirectional Relation Learning,
CVPR21(1-11)
IEEE DOI 2111
Task analysis, Feature extraction, Training, Image segmentation, Head, Detectors, Shape, Instance shadow detection, deep neural network. Knowledge engineering, Computer graphics, Benchmark testing, Network architecture BibRef

Luo, W.J.[Wen-Jie], Xie, X.H.[Xiao-Hua], Deng, K.[Kuoyu], Yang, L.X.[Ling-Xiao], Lai, J.H.[Jian-Huang],
Learning Shadow Removal From Unpaired Samples via Reciprocal Learning,
IP(32), 2023, pp. 3455-3464.
IEEE DOI 2307
Detectors, Optimization, Training, Data models, Task analysis, Generators, Estimation, Shadow removal, weakly supervised learning, shadow detector BibRef

Jiang, H.[Hao], Zhang, Q.[Qing], Nie, Y.W.[Yong-Wei], Zhu, L.[Lei], Zheng, W.S.[Wei-Shi],
Learning to Remove Shadows from a Single Image,
IJCV(131), No. 9, September 2023, pp. 2471-2488.
Springer DOI 2308
BibRef

Jie, L.P.[Lei-Ping], Zhang, H.[Hui],
MGRLN-net: Mask-guided Residual Learning Network for Joint Single-image Shadow Detection and Removal,
ACCV22(III:460-476).
Springer DOI 2307
BibRef

Yu, Q.H.[Qian-Hao], Zheng, N.S.[Nai-Shan], Huang, J.[Jie], Zhao, F.[Feng],
Cnsnet: A Cleanness-navigated-shadow Network for Shadow Removal,
AIM22(221-238).
Springer DOI 2304
BibRef

Valanarasu, J.M.J.[Jeya Maria Jose], Patel, V.M.[Vishal M.],
Fine-Context Shadow Detection using Shadow Removal,
WACV23(1705-1714)
IEEE DOI 2302
Representation learning, Deep learning, Fuses, Image edge detection, Pipelines, Neural networks, Detectors, Remote Sensing BibRef

Yücel, M.K.[Mehmet Kerim], Dimaridou, V.[Valia], Manganelli, B.[Bruno], Ozay, M.[Mete], Drosou, A.[Anastasios], Saà-Garriga, A.[Albert],
LRA&LDRA: Rethinking Residual Predictions for Efficient Shadow Detection and Removal,
WACV23(4914-4924)
IEEE DOI 2302
Training, Computational modeling, Pipelines, Memory management, Benchmark testing, Predictive models, Arts/games/social media BibRef

Sen, M.[Mrinmoy], Chermala, S.P.[Sai Pradyumna], Nagori, N.N.[Nazrinbanu Nurmohammad], Peddigari, V.[Venkat], Mathur, P.[Praful], Prasad, B.H.P.[B H Pawan], Jeong, M.[Moonhwan],
SHARDS: Efficient SHAdow Removal using Dual Stage Network for High-Resolution Images,
WACV23(1809-1817)
IEEE DOI 2302
Performance evaluation, Deep learning, Detectors, Network architecture, Convolutional neural networks, Low-level and physics-based vision BibRef

Wan, J.[Jin], Yin, H.[Hui], Wu, Z.Y.[Zhen-Yao], Wu, X.[Xinyi], Liu, Y.T.[Yan-Ting], Wang, S.[Song],
Style-Guided Shadow Removal,
ECCV22(XIX:361-378).
Springer DOI 2211
BibRef

Gao, J.H.[Jian-Hao], Zheng, Q.L.[Quan-Long], Guo, Y.D.[Yan-Dong],
Towards Real-world Shadow Removal with a Shadow Simulation Method and a Two-stage Framework,
NTIRE22(598-607)
IEEE DOI 2210
Training, Image color analysis, Computational modeling, Gray-scale, Robustness BibRef

Einy, T.[Tamir], Immer, E.[Efrat], Vered, G.[Gilad], Avidan, S.[Shai],
Physics Based Image Deshadowing Using Local Linear Model,
V4AS22(3011-3019)
IEEE DOI 2210
Deep learning, Computational modeling, Neural networks, Predictive models, Network architecture, Prediction algorithms BibRef

Lyu, L.J.[Lin-Jie], Habermann, M.[Marc], Liu, L.J.[Ling-Jie], Mallikarjun, B.R., Tewari, A.[Ayush], Theobalt, C.[Christian],
Efficient and Differentiable Shadow Computation for Inverse Problems,
ICCV21(13087-13096)
IEEE DOI 2203
Runtime, Inverse problems, Lighting, Training data, Ray tracing, Rendering (computer graphics), Computational efficiency, Image and video synthesis BibRef

Jin, Y.Y.[Ye-Ying], Sharma, A.[Aashish], Tan, R.T.[Robby T.],
DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network,
ICCV21(5007-5016)
IEEE DOI 2203
Training, Supervised learning, Generators, Vision applications and systems, BibRef

Chen, Z.P.[Zi-Pei], Long, C.J.[Cheng-Jiang], Zhang, L.[Ling], Xiao, C.X.[Chun-Xia],
CANet: A Context-Aware Network for Shadow Removal,
ICCV21(4723-4732)
IEEE DOI 2203
Context-aware services, Codes, Benchmark testing, Task analysis, Image reconstruction, Low-level and physics-based vision, Scene analysis and understanding BibRef

Zhu, L.[Lei], Xu, K.[Ke], Ke, Z.H.[Zhang-Han], Lau, R.W.H.[Rynson W.H.],
Mitigating Intensity Bias in Shadow Detection via Feature Decomposition and Reweighting,
ICCV21(4682-4691)
IEEE DOI 2203
Training, Semantics, Brightness, Lighting, Detectors, Feature extraction, Low-level and physics-based vision, BibRef

Ufuktepe, D.K.[Deniz Kavzak], Collins, J.[Jaired], Ufuktepe, E.[Ekincan], Fraser, J.[Joshua], Krock, T.[Timothy], Palaniappan, K.[Kannappan],
Learning-Based Shadow Detection in Aerial Imagery Using Automatic Training Supervision from 3D Point Clouds,
WAAMI21(3919-3928)
IEEE DOI 2112
Training, Analytical models, Tracking, Computational modeling, Urban areas, Training data BibRef

Lu, E.[Erika], Cole, F.[Forrester], Dekel, T.[Tali], Zisserman, A.[Andrew], Freeman, W.T.[William T.], Rubinstein, M.[Michael],
Omnimatte: Associating Objects and Their Effects in Video,
CVPR21(4505-4513)
IEEE DOI 2111
I.e. smoke, cloud, shadow. Training, Image segmentation, Color, Visual effects, Reflection, Pattern recognition BibRef

Fu, L.[Lan], Zhou, C.Q.[Chang-Qing], Guo, Q.[Qing], Juefei-Xu, F.[Felix], Yu, H.K.[Hong-Kai], Feng, W.[Wei], Liu, Y.[Yang], Wang, S.[Song],
Auto-Exposure Fusion for Single-Image Shadow Removal,
CVPR21(10566-10575)
IEEE DOI 2111
Degradation, Deep learning, Codes, Image color analysis, Fuses, Lighting BibRef

Liu, Z.H.[Zhi-Hao], Yin, H.[Hui], Wu, X.[Xinyi], Wu, Z.Y.[Zhen-Yao], Mi, Y.[Yang], Wang, S.[Song],
From Shadow Generation to Shadow Removal,
CVPR21(4925-4934)
IEEE DOI 2111
Training, Training data, Pattern recognition, Image restoration, Task analysis BibRef

Vasluianu, F.A.[Florin-Alexandru], Romero, A.[Andrés], Van Gool, L.J.[Luc J.], Timofte, R.[Radu],
Shadow Removal with Paired and Unpaired Learning,
NTIRE21(826-835)
IEEE DOI 2109
Training, Image restoration, Pattern recognition, Task analysis, Light sources BibRef

Vowels, M.J.[Matthew J.], Camgoz, N.C.[Necati Cihan], Bowden, R.[Richard],
Shadow-Mapping for Unsupervised Neural Causal Discovery,
CiV21(1740-1743)
IEEE DOI 2109
Correlation, Neural networks, Estimation, Pattern recognition, Dynamical systems BibRef

Guo, R.[Rui], Ayinde, B.[Babajide], Sun, H.[Hao],
Efficient Shadow Detection and Removal using Synthetic Data with Domain Adaptation,
ICPR21(5867-5874)
IEEE DOI 2105
Training, Adaptation models, Limiting, Image databases, Error analysis, Benchmark testing, Data models, shadow detection, domain adaptation BibRef

Le, H.[Hieu], Samaras, D.[Dimitris],
From Shadow Segmentation to Shadow Removal,
ECCV20(XI:264-281).
Springer DOI 2011
BibRef

Lin, Y.H.[Yun-Hsuan], Chen, W.C.[Wen-Chin], Chuang, Y.Y.[Yung-Yu],
BEDSR-Net: A Deep Shadow Removal Network From a Single Document Image,
CVPR20(12902-12911)
IEEE DOI 2008
Image color analysis, Training, Estimation, Cameras, Lighting, Visualization BibRef

Chen, Z.H.[Zhi-Hao], Zhu, L.[Lei], Wan, L.[Liang], Wang, S.[Song], Feng, W.[Wei], Heng, P.A.[Pheng-Ann],
A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection,
CVPR20(5610-5619)
IEEE DOI 2008
Task analysis, Image edge detection, Feature extraction, Training, Radio frequency, Fuses, Solid modeling BibRef

Wang, T., Hu, X., Wang, Q., Heng, P., Fu, C.,
Instance Shadow Detection,
CVPR20(1877-1886)
IEEE DOI 2008
Head, Feature extraction, Proposals, Image segmentation, Image color analysis, Training BibRef

Ding, B., Long, C., Zhang, L., Xiao, C.,
ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal,
ICCV19(10212-10221)
IEEE DOI 2004
image classification, image colour analysis, image segmentation, learning (artificial intelligence), object detection, ARGAN BibRef

Hu, X., Jiang, Y., Fu, C., Heng, P.,
Mask-ShadowGAN: Learning to Remove Shadows From Unpaired Data,
ICCV19(2472-2481)
IEEE DOI 2004
image processing, learning (artificial intelligence), input shadow image, shadow generation, shadow mask, shadow removal, Cameras BibRef

Zheng, Q.L.[Quan-Long], Qiao, X.T.[Xiao-Tian], Cao, Y.[Ying], Lau, R.W.H.[Rynson W.H.],
Distraction-Aware Shadow Detection,
CVPR19(5162-5171).
IEEE DOI 2002
BibRef

Imai, N.N., Tommaselli, A.M.G., Berveglieri, A., Moriya, E.A.S.,
Shadow Detection in Hyperspectral Images Acquired By UAV,
UAV-g19(371-377).
DOI Link 1912
BibRef

Hintze, R., Morse, B.,
Shadow Patching: Guided Image Completion for Shadow Removal,
WACV19(1999-2008)
IEEE DOI 1904
image texture, minimisation, shadow patching, shadow removal, unwanted shadows, photo editing software, darker shadowing, Image restoration BibRef

Wang, J., Li, X., Yang, J.,
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal,
CVPR18(1788-1797)
IEEE DOI 1812
Task analysis, Generators, Lighting, Generative adversarial networks, Training, Semantics BibRef

Le, H.[Hieu], Vicente, T.F.Y.[Tomas F. Yago], Nguyen, V.[Vu], Hoai, M.[Minh], Samaras, D.[Dimitris],
A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation,
ECCV18(II: 680-696).
Springer DOI 1810
BibRef

Zhu, L.[Lei], Deng, Z.J.[Zi-Jun], Hu, X.W.[Xiao-Wei], Fu, C.W.[Chi-Wing], Xu, X.M.[Xue-Miao], Qin, J.[Jing], Heng, P.A.[Pheng-Ann],
Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection,
ECCV18(VI: 122-137).
Springer DOI 1810
BibRef

d'Autume, M., Morel, J., Meinhardt-Llopis, E.,
A Flexible Solution to the Osmosis Equation for Seamless Cloning and Shadow Removal,
ICIP18(2147-2151)
IEEE DOI 1809
Mathematical model, Osmosis, Cloning, Boundary conditions, Adaptation models, Poisson equations, Computational modeling, seamless cloning BibRef

Yarlagadda, S.K., Zhu, F.,
A Reflectance Based Method For Shadow Detection and Removal,
Southwest18(9-12)
IEEE DOI 1809
Image segmentation, Lighting, Image color analysis, Kernel, Histograms, Testing, Videos, shadow detection, image enhancement BibRef

Kaminsky, E.[Eli], Werman, M.[Michael],
ShadowNet,
ICIAR18(336-344).
Springer DOI 1807
Shadows, for use in applications, e.g. white balance. BibRef

Nguyen, V., Vicente, T.F.Y., Zhao, M., Hoai, M., Samaras, D.,
Shadow Detection with Conditional Generative Adversarial Networks,
ICCV17(4520-4528)
IEEE DOI 1802
entropy, inference mechanisms, learning (artificial intelligence), object detection, Training BibRef

Tanathong, S., Smith, W.A.P., Remde, S.,
Eliminating the Observer Effect: Shadow Removal in Orthomosaics of the Road Network,
CVRoads17(262-269)
IEEE DOI 1802
Cameras, Computational modeling, Observers, Roads, Solid modeling. BibRef

Yu, X.M.[Xiao-Ming], Li, G.[Ge], Ying, Z.Q.[Zhen-Qiang], Guo, X.Q.[Xiao-Qiang],
A New Shadow Removal Method Using Color-Lines,
CAIP17(II: 307-319).
Springer DOI 1708
BibRef

Bako, S.[Steve], Darabi, S.[Soheil], Shechtman, E.[Eli], Wang, J.[Jue], Sunkavalli, K.[Kalyan], Sen, P.[Pradeep],
Removing Shadows from Images of Documents,
ACCV16(III: 173-183).
Springer DOI 1704
BibRef

Swami, K., Das, S.K., Khandelwal, G., Vijayvargiya, A.,
A robust flash image shadow detection method and seamless recovery of shadow regions,
ICPR16(2836-2841)
IEEE DOI 1705
Boundary conditions, Cloning, Detection algorithms, Image segmentation, Lighting, Noise measurement, Poisson equations, Flash image shadow detection and removal, flash/no-flash photography, shadow, smartphone, application BibRef