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Outdoor Shadow Estimating Using Multiclass Geometric Decomposition Based on BLS
Chen,Zhihua1; Gao,Ting1; Sheng,Bin2; Li,Ping3; Chen,C. L.Philip4,5,6
2020-05
Source PublicationIEEE Transactions on Cybernetics
ABS Journal Level3
ISSN2168-2267
Volume50Issue:5Pages:2152-2165
Abstract

Illumination is a significant component of an image, and illumination estimation of an outdoor scene from given images is still challenging yet it has wide applications. Most of the traditional illumination estimating methods require prior knowledge or fixed objects within the scene, which makes them often limited by the scene of a given image. We propose an optimization approach that integrates the multiclass cues of the image(s) [a main input image and optional auxiliary input image(s)]. First, Sun visibility is estimated by the efficient broad learning system. And then for the scene with visible Sun, we classify the information in the image by the proposed classification algorithm, which combines the geometric information and shadow information to make the most of the information. And we apply a respective algorithm for every class to estimate the illumination parameters. Finally, our approach integrates all of the estimating results by the Markov random field. We make full use of the cues in the given image instead of an extra requirement for the scene, and the qualitative results are presented and show that our approach outperformed other methods with similar conditions.

KeywordBroad Learning System (Bls) Illumination Estimating Markov Random Field (Mrf) Multiclass Integrating Shadow Synthesis
DOI10.1109/TCYB.2018.2875983
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000528622000032
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85056203507
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Citation statistics
Cited Times [WOS]:10   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Co-First AuthorChen,Zhihua
Corresponding AuthorSheng,Bin
Affiliation1.Department of Computer Science and Engineering,East China University of Science and Technology,Shanghai,200237,China
2.Department of Computer Science and Engineering,Shanghai Jiao Tong University,Shanghai,China
3.Faculty of Information Technology,Macau University of Science and Technology,Macao
4.Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau 999078, China
5.College of Navigation, Dalian Maritime University, Dalian 116026, China
6.e State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
Recommended Citation
GB/T 7714
Chen,Zhihua,Gao,Ting,Sheng,Bin,et al. Outdoor Shadow Estimating Using Multiclass Geometric Decomposition Based on BLS[J]. IEEE Transactions on Cybernetics,2020,50(5):2152-2165.
APA Chen,Zhihua,Gao,Ting,Sheng,Bin,Li,Ping,&Chen,C. L.Philip.(2020).Outdoor Shadow Estimating Using Multiclass Geometric Decomposition Based on BLS.IEEE Transactions on Cybernetics,50(5),2152-2165.
MLA Chen,Zhihua,et al."Outdoor Shadow Estimating Using Multiclass Geometric Decomposition Based on BLS".IEEE Transactions on Cybernetics 50.5(2020):2152-2165.
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