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
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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 |
DOI | 10.1109/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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