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1203
Cast shadow; Shadow modelling; Shadow detection; Shadow removal; Shadow algorithm taxonomy; Shadow segmentation
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Yang, Q.X.[Qing-Xiong],
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1301
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Illumination estimation and cast shadow detection through a
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Vicente, T.F.Y.[Tomas F. Yago],
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Noisy Label Recovery for Shadow Detection in Unfamiliar Domains,
CVPR16(3783-3792)
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1612
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ICCV15(3388-3396)
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1602
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1201
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Shadow detection; Urban areas; High spatial resolution; Multispectral
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Paired Regions for Shadow Detection and Removal,
PAMI(35), No. 12, 2013, pp. 2956-2967.
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1311
BibRef
Earlier:
Single-image shadow detection and removal using paired regions,
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IEEE DOI
1106
Histograms
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Li, H.F.[Hui-Fang],
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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
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],
Saŕ-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
Swami, K.,
Khandelwal, G.,
Vijayvargiya, A.,
Sekhri, K.,
A new method of flash image shadow detection and patch-based
correction of shadow regions,
ICVNZ15(1-6)
IEEE DOI
1701
computer vision
BibRef
Vicente, T.F.Y.[Tomás F. Yago],
Hou, L.[Le],
Yu, C.P.[Chen-Ping],
Hoai, M.[Minh],
Samaras, D.[Dimitris],
Large-Scale Training of Shadow Detectors with Noisily-Annotated Shadow
Examples,
ECCV16(VI: 816-832).
Springer DOI
1611
BibRef
Wang, Q.J.[Qiong-Jie],
Yan, L.[Li],
Anisotropic Scattering Shadow Compensation Method For Remote Sensing
Image With Consideration Of Terrain,
ISPRS16(B1: 401-405).
DOI Link
1610
BibRef
Hsieh, Y.T.[Yi-Ta],
Wu, S.T.[Shou-Tsung],
Chen, C.T.[Chaur-Tzuhn],
Chen, J.C.[Jan-Chang],
Analyzing Spectral Characteristics Of Shadow Area From Ads-40 High
Radiometric Resolution Aerial Images,
ISPRS16(B7: 223-227).
DOI Link
1610
BibRef
Li, Q.,
Bernal, E.A.,
Shreve, M.,
Loce, R.P.,
Scene-independent feature- and classifier-based vehicle headlight and
shadow removal in video sequences,
CVAST16(1-8)
IEEE DOI
1606
feature extraction
BibRef
Shen, L.[Li],
Chua, T.W.[Teck Wee],
Leman, K.[Karianto],
Shadow optimization from structured deep edge detection,
CVPR15(2067-2074)
IEEE DOI
1510
BibRef
Kadhim, N.M.S.M.,
Mourshed, M.,
Bray, M.T.,
Shadow Detection from Very High Resoluton Satellite Image Using Grabcut
Segmentation and Ratio-Band Algorithms,
PIA15(95-101).
DOI Link
1504
BibRef
Ngo, T.T.[Tran-Thanh],
Collet, C.[Christophe],
Mazet, V.[Vincent],
MRF and Dempster-Shafer theory for simultaneous shadow/vegetation
detection on high resolution aerial color images,
ICIP14(5037-5041)
IEEE DOI
1502
Accuracy
See also Automatic rectangular building detection from VHR aerial imagery using shadow and image segmentation.
BibRef
Ecins, A.,
Fermuller, C.,
Aloimonos, Y.,
Shadow free segmentation in still images using local density measure,
ICCP14(1-8)
IEEE DOI
1411
channel bank filters
BibRef
Wang, X.P.[Xu-Peng],
Sohel, F.A.[Ferdous A.],
Bennamoun, M.[Mohammed],
Lei, H.[Hang],
Heat propagation contours for 3D non-rigid shape analysis,
WACV16(1-7)
IEEE DOI
1606
BibRef
Earlier:
Binary Descriptor Based on Heat Diffusion for Non-rigid Shape Analysis,
PSIVT15(751-761).
Springer DOI
1602
Diffusion processes
BibRef
Xiao, Y.[Yao],
Tsougenis, E.[Efstratios],
Tang, C.K.[Chi-Keung],
Shadow Removal from Single RGB-D Images,
CVPR14(3011-3018)
IEEE DOI
1409
BibRef
Deng, T.[Teng],
Li, H.[Hui],
Cai, J.F.[Jian-Fei],
Cham, T.J.[Tat-Jen],
Fuchs, H.,
Kinect Shadow Detection and Classification,
BD3DCV13(708-713)
IEEE DOI
1403
Occlusions.
feature extraction
3D information shadows.
BibRef
Bryner, D.[Darshan],
Srivastava, A.[Anuj],
Shadow Segmentation in SAS and SAR Using Bayesian Elastic Contours,
PBVS13(375-380)
IEEE DOI
1309
SAR shadows have a different cause, but it is a shadow.
BibRef
Gawde, A.[Anuja],
Joshi, K.[Kedar],
Velipasalar, S.[Senem],
Lightweight and Robust Shadow Removal for Foreground Detection,
AVSS12(264-269).
IEEE DOI
1211
BibRef
Aksoy, Y.[Yagiz],
Alatan, A.A.[A. Aydln],
Utilization of False Color Images in Shadow Detection,
Color12(II: 472-481).
Springer DOI
1210
BibRef
Ye, Q.,
Xie, H.,
Xu, Q.,
Removing Shadows From High-resolution Urban Aerial Images Based On
Color Constancy,
ISPRS12(XXXIX-B3:525-530).
DOI Link
1209
BibRef
Hu, X.,
Li, X.,
Fast Occlusion And Shadow Detection For High Resolution Remote Sensing
Image Combined With Lidar Point Cloud,
ISPRS12(XXXIX-B7:399-402).
DOI Link
1209
BibRef
Kwatra, V.,
Han, M.[Mei],
Dai, S.Y.[Sheng-Yang],
Shadow removal for aerial imagery by information theoretic intrinsic
image analysis,
ICCP12(1-8).
IEEE DOI
1208
BibRef
Jarraya, S.K.[Salma Kammoun],
Boukhriss, R.R.[Rania Rebai],
Hammami, M.[Mohamed],
Ben-Abdallah, H.[Hanene],
Cast Shadow Detection Based on Semi-supervised Learning,
ICIAR12(I: 19-26).
Springer DOI
1206
BibRef
Huang, X.[Xiang],
Hua, G.[Gang],
Tumblin, J.[Jack],
Williams, L.[Lance],
What characterizes a shadow boundary under the sun and sky?,
ICCV11(898-905).
IEEE DOI
1201
Color analysis of the boundary of most likely shadows.
BibRef
Salamati, N.,
Germain, A.,
Siisstrunk, S.,
Removing shadows from images using color and near-infrared,
ICIP11(1713-1716).
IEEE DOI
1201
BibRef
Huang, W.[Wei],
Fu, L.Q.[Li-Qin],
Xiao, Y.[Yu],
Shadow removal based on invariant image with Fisher discrimination
criterion,
IASP11(214-218).
IEEE DOI
1112
BibRef
Jiang, X.Y.[Xiao-Yue],
Schofield, A.J.[Andrew J.],
Wyatt, J.J.[Jeremy J.],
Shadow Detection based on Colour Segmentation and Estimated
Illumination,
BMVC11(xx-yy).
HTML Version.
1110
BibRef
Teke, M.[Mustafa],
Baseski, E.[Emre],
Ok, A.Ö.[Ali Özgün],
Yüksel, B.[Baris],
Senaras, Ç.[Çaglar],
Multi-spectral False Color Shadow Detection,
PIA11(109-119).
Springer DOI
1110
BibRef
Xu, M.[Ming],
Ren, J.[Jie],
Chen, D.Y.[Dong-Yong],
Smith, J.S.[Jeremy S.],
Liu, Z.C.[Zhe-Chi],
A Multiview Approach to Robust Detection in the Presence of Cast
Shadows,
ICIG11(494-499).
IEEE DOI
1109
BibRef
Tian, J.D.[Jian-Dong],
Tang, Y.D.[Yan-Dong],
Linearity of each channel pixel values from a surface in and out of
shadows and its applications,
CVPR11(985-992).
IEEE DOI
1106
BibRef
Iwama, H.[Haruyuki],
Makihara, Y.S.[Yasu-Shi],
Yagi, Y.S.[Yasu-Shi],
Foreground and Shadow Segmentation Based on a Homography-Correspondence
Pair,
ACCV10(IV: 702-715).
Springer DOI
1011
BibRef
Huang, C.H.[Chung-Hsien],
Wu, R.C.[Ruei-Cheng],
An Online Learning Method for Shadow Detection,
PSIVT10(145-150).
IEEE DOI
1011
BibRef
Caseiro, R.[Rui],
Henriques, J.F.[Joao F.],
Batista, J.P.[Jorge P.],
Using directional statistics to learn cast shadows from a
multi-spectral light sources physical model,
ICIP10(3445-3448).
IEEE DOI
1009
BibRef
Liu, Y.[Yiyang],
Adjeroh, D.[Don],
A statistical approach for shadow detection using spatio-temporal
contexts,
ICIP10(3457-3460).
IEEE DOI
1009
BibRef
Aytekin, C.[Caglar],
Alatan, A.A.[A. Aydin],
A novel shadow restoration algorithm based on atmospheric effects for
aerial images,
ICIP10(401-404).
IEEE DOI
1009
BibRef
Lalonde, J.F.[Jean-François],
Efros, A.A.[Alexei A.],
Narasimhan, S.G.[Srinivasa G.],
Detecting Ground Shadows in Outdoor Consumer Photographs,
ECCV10(II: 322-335).
Springer DOI
1009
BibRef
Miyazaki, D.[Daisuke],
Matsushita, Y.[Yasuyuki],
Ikeuchi, K.[Katsushi],
Interactive Shadow Removal from a Single Image Using Hierarchical Graph
Cut,
ACCV09(I: 234-245).
Springer DOI
0909
BibRef
Landabaso, J.L.[Jose-Luis],
Pujol-Alcolado, J.C.[Jose-Carlos],
Montserrat, T.[Tomas],
Marimon, D.[David],
Civit, J.[Jaume],
Escoda, O.D.[Oscar Divorra],
A global probabilistic framework for the foreground, background and
shadow classification task,
ICIP09(3189-3192).
IEEE DOI
0911
BibRef
Yao, K.[Kang],
Dong, J.Y.[Jun-Yu],
Removing shadows from a single real-world color image,
ICIP09(3129-3132).
IEEE DOI
0911
BibRef
Albu, F.[Felix],
Vertan, C.[Constantin],
Florea, C.[Corneliu],
Drimbarean, A.[Alexandru],
One scan shadow compensation and visual enhancement of color images,
ICIP09(3133-3136).
IEEE DOI
0911
BibRef
Gijsenij, A.[Arjan],
Gevers, T.[Theo],
Shadow edge detection using geometric and photometric features,
ICIP09(693-696).
IEEE DOI
0911
BibRef
Dong, X.[Xia],
Wang, K.[Kedian],
Jia, G.H.[Guo-Hua],
Moving Object and Shadow Detection Based on RGB Color Space and Edge
Ratio,
CISP09(1-5).
IEEE DOI
0910
BibRef
Cuypers, T.[Tom],
Francken, Y.[Yannick],
Taelman, J.[Johannes],
Bekaert, P.[Philippe],
Shadow multiplexing for real-time silhouette extraction,
PROCAMS09(61-68).
IEEE DOI
0906
BibRef
He, Q.A.[Qi-Ang],
Chu, C.H.H.[Chee-Hung Henry],
Texture-Based Shadow Removal from a Single Color Image,
ISVC08(II: 644-650).
Springer DOI
0812
BibRef
Vazquez, E.[Eduard],
van de Weijer, J.[Joost],
Baldrich, R.[Ramon],
Image Segmentation in the Presence of Shadows and Highlights,
ECCV08(IV: 1-14).
Springer DOI
0810
BibRef
Liu, F.[Feng],
Gleicher, M.[Michael],
Texture-Consistent Shadow Removal,
ECCV08(IV: 437-450).
Springer DOI
0810
BibRef
Guo, H.T.[Hai-Tao],
Zhang, Y.[Yan],
Lu, J.[Jun],
Jin, G.W.[Guo-Wang],
Research on the Building Shadow Extraction and Elimination Method,
ISPRS08(B3b: 569 ff).
PDF File.
0807
BibRef
Junejo, I.N.[Imran N.],
A Simple Shadow Based Method for Camera Calibration,
ICIAR08(xx-yy).
Springer DOI
0806
See also Euclidean path modeling for video surveillance.
BibRef
Shimada, A.[Atsushi],
Nagahara, H.[Hajime],
Taniguchi, R.I.[Rin-Ichiro],
Background Modeling Based on Bidirectional Analysis,
CVPR13(1979-1986)
IEEE DOI
1309
BibRef
Yoshinaga, S.[Satoshi],
Shimada, A.[Atsushi],
Nagahara, H.[Hajime],
Taniguchi, R.I.[Rin-Ichiro],
Background Model Based on Statistical Local Difference Pattern,
BMC12(I:327-332).
Springer DOI
1304
BibRef
Earlier:
Object Detection Using Local Difference Patterns,
ACCV10(IV: 216-227).
Springer DOI
1011
BibRef
Tanaka, T.[Tatsuya],
Shimada, A.[Atsushi],
Arita, D.[Daisaku],
Taniguchi, R.I.[Rin-Ichiro],
Object Detection under Varying Illumination Based on Adaptive
Background Modeling Considering Spatial Locality,
PSIVT09(645-656).
Springer DOI
0901
BibRef
Earlier:
Non-parametric Background and Shadow Modeling for Object Detection,
ACCV07(I: 159-168).
Springer DOI
0711
See also Hybrid Background Model Using Spatial-Temporal LBP.
BibRef
Wu, Y.G.[Yung-Gi],
Tsai, C.Y.[Chung-Ying],
The Improvement of the Background Subtraction and Shadow Detection in
Grayscale Video Sequences,
IMVIP07(206-206).
IEEE DOI
0709
BibRef
Audet, S.[Samuel],
Cooperstock, J.R.[Jeremy R.],
Shadow Removal in Front Projection Environments Using Object Tracking,
PROCAMS07(1-8).
IEEE DOI
0706
BibRef
Xu, L.Q.[Li-Qun],
An Efficient Object Segmentation Algorithm with Dynamic and Selective
Background Updating and Shadow Removal,
ICIP06(2393-2396).
IEEE DOI
0610
BibRef
Lo, K.H.[Kuo-Hua],
Yang, M.T.[Mau-Tsuen],
Shadow Detection by Integrating Multiple Features,
ICPR06(I: 743-746).
IEEE DOI
0609
BibRef
Agrawal, A.[Amit],
Raskar, R.[Ramesh],
Chellappa, R.[Rama],
Edge Suppression by Gradient Field Transformation Using
Cross-Projection Tensors,
CVPR06(II: 2301-2308).
IEEE DOI
0606
Uses: Retinex, recovering foreground under varying illumination.
Remove shadows.
BibRef
Nicolas, H.,
Scalable Video Compression Scheme for Tele-Surveillance Applications
Based on Cast Shadow Detection and Modelling,
ICIP05(III: 493-496).
IEEE DOI
0512
BibRef
Bouguila, N.,
Ziou, D.,
A Probabilistic Approach for Shadows Modeling and Detection,
ICIP05(I: 329-332).
IEEE DOI
0512
BibRef
Du, Z.L.[Zhen-Long],
Qin, X.Y.[Xue-Ying],
Lin, H.[Hai],
Bao, H.J.[Hu-Jun],
Shadow Removal in Gradient Domain,
ICIAR05(107-115).
Springer DOI
0509
BibRef
Wu, T.P.[Tai-Pang],
Tang, C.K.[Chi-Keung],
A Bayesian Approach for Shadow Extraction from a Single Image,
ICCV05(I: 480-487).
IEEE DOI
0510
BibRef
Bunyak, F.[Filiz],
Ersoy, I.[Ilker],
Subramanya, S.R.,
Shadow Detection by Combined Photometric Invariants for Improved
Foreground Segmentation,
WACV05(I: 510-515).
IEEE DOI
0502
BibRef
Jaynes, C.O.[Christopher O.],
Webb, S.B.[Stephen B.],
Steele, R.M.[Robert M.],
Dynamic shadow removal from front projection displays,
US_Patent7,133,083, November 7, 2006.
WWW Link.
BibRef
0611
Jeong, K.[Kideog],
Jaynes, C.[Christopher],
Moving Shadow Detection using a Combined Geometric and Color
Classification Approach,
Motion05(II: 36-43).
IEEE DOI
0502
BibRef
Troccoli, A.J.[Alejandro J.],
Allen, P.K.[Peter K.],
A Shadow Based Method for Image to Model Registration,
VideoRegister04(169).
IEEE DOI
0502
BibRef
Salberg, A.B.,
Harbitz, A.,
Object segmentation and feature estimation using shadows,
ICPR04(III: 674-678).
IEEE DOI
0409
BibRef
Wang, Y.[Yang],
Tong, T.[Tele],
Lo, K.F.[Kia-Fock],
A probabilistic method for foreground and shadow segmentation,
ICIP03(III: 937-940).
IEEE DOI
0312
BibRef
Risson, V.,
Application de la Morphologie Mathematique a l'Analyse des conditions
d'Eclainage des Images Couleur,
Ph.D.Thesis, Paris School of Mines, December 2001.
Hue and saturation for shadows.
BibRef
0112
Fung, G.S.K.,
Yung, N.H.C.,
Pang, G.K.H.,
Lai, A.H.S.,
Effective moving cast shadow detection for monocular color image
sequences,
CIAP01(404-409).
IEEE DOI
0210
BibRef
Yoon, J.J.,
Koch, C.,
Ellis, T.J.,
ShadowFlash: an approach for shadow removal in an active illumination
environment,
BMVC02(Poster Session).
0208
BibRef
Suzuki, A.[Akira],
Shio, A.[Akio],
Arai, H.[Hiroyuki],
Ohtsuka, S.[Sakuichi],
Dynamic Shadow Compensation of Aerial Images Based on Color and Spatial
Analysis,
ICPR00(Vol I: 317-320).
IEEE DOI
0009
Find the shadow area and enhance that part of the image.
BibRef
Funka-Lea, G.[Gareth],
Bajcsy, R.[Ruzena],
Combining Color and Geometry for the Active,
Visual Recognition of Shadows,
ICCV95(203-209).
IEEE DOI
Segmentation, Shadows. Segmenting the shadows, given the geometry.
BibRef
9500
Rosin, P.L.,
Ellis, T.,
Image Difference Threshold Strategies and Shadow Detection,
BMVC95(347-356).
PDF File.
PDF File.
See also Thresholding for Change Detection.
BibRef
9500
Scanlan, J.M.,
Chabries, D.M.,
Christiansen, R.,
A Shadow Detection and Removal Algorithm for 2-D Images,
ICASSP90(2057-2060).
BibRef
9000
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Shadows and Motion, Detection and Extraction .