中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Outdoor Shadow Estimating Using Multiclass Geometric Decomposition Based on BLS

文献类型:期刊论文

作者Chen, Zhihua1; Gao, Ting1; Sheng, Bin6; Li, Ping5; Chen, C. L. Philip2,3,4
刊名IEEE TRANSACTIONS ON CYBERNETICS
出版日期2020-05-01
卷号50期号:5页码:2152-2165
关键词Lighting Sun Estimation Learning systems Feature extraction Neural networks Classification algorithms Broad learning system (BLS) illumination estimating Markov random field (MRF) multiclass integrating shadow synthesis
ISSN号2168-2267
DOI10.1109/TCYB.2018.2875983
通讯作者Sheng, Bin(shengbin@sjtu.edu.cn)
英文摘要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.
WOS关键词ILLUMINATION ; RECOGNITION ; SYNOPSIS ; VIDEO
资助项目National Natural Science Foundation of China[61672228] ; National Natural Science Foundation of China[61872241] ; National Natural Science Foundation of China[61671290] ; National Natural Science Foundation of China[61572316] ; National Natural Science Foundation of China[61751202] ; National Natural Science Foundation of China[61751205] ; National Natural Science Foundation of China[61572540] ; National Natural Science Foundation of China[61370174] ; National Key Research and Development Program of China[2016YFC1300302] ; National Key Research and Development Program of China[2017YFE0104000] ; Macau Science and Technology Development Fund (FDCT)[0027/2018/A1] ; Macau Science and Technology Development Fund (FDCT)[019/2015/A1] ; Macau Science and Technology Development Fund (FDCT)[079/2017/A2] ; Macau Science and Technology Development Fund (FDCT)[024/2015/AMJ] ; Science and Technology Commission of Shanghai Municipality[16DZ0501100] ; Science and Technology Commission of Shanghai Municipality[17411952600] ; Shanghai Automotive Industry Science and Technology Development Foundation[1837] ; University of Macau
WOS研究方向Automation & Control Systems ; Computer Science
语种英语
WOS记录号WOS:000528622000032
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; National Key Research and Development Program of China ; Macau Science and Technology Development Fund (FDCT) ; Science and Technology Commission of Shanghai Municipality ; Shanghai Automotive Industry Science and Technology Development Foundation ; University of Macau
源URL[http://ir.ia.ac.cn/handle/173211/39353]  
专题离退休人员
通讯作者Sheng, Bin
作者单位1.East China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China
2.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China
3.Dalian Maritime Univ, Coll Nav, Dalian 116026, Peoples R China
4.Univ Macau, Fac Sci & Technol, Dept Comp & Informat Sci, Macau 999078, Peoples R China
5.Macau Univ Sci & Technol, Fac Informat Technol, Macau 999078, Peoples R China
6.Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai 200240, Peoples R China
推荐引用方式
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.

入库方式: OAI收割

来源:自动化研究所

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