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ＥＩ： 文章：A Joint feature space unsupervised matting with visual attention prior 杂志：Journal of Optoelectronics laser （光电子 激光，中文杂志） |
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【答案】应助回帖
| detailed_3-30-2016_2491982 |
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【答案】应助回帖
★ ★ ★ ★ ★ ★ ★ ★ ★ ★
感谢参与，应助指数 +1
cqfcsu: 金币+10, ★★★★★最佳答案 2016-04-01 20:06:15
sunshan4379: LS-EPI+1, 感谢应助！ 2016-04-01 21:17:05
感谢参与，应助指数 +1
cqfcsu: 金币+10, ★★★★★最佳答案 2016-04-01 20:06:15
sunshan4379: LS-EPI+1, 感谢应助！ 2016-04-01 21:17:05
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第一篇 EI 检索 Accession number: 20161102103181 Title: A joint feature space unsupervised matting with visual attention prior Authors: Chen, Qiu-Feng1 Email author chenqiufeng0204@126.com; Shen, Qun-Tai1; Liu, Peng-Fei1, 2 Author affiliation: 1 School of Information Science and Engineering, Central South University, Changsha, China 2 Unit 95856 of PLA, Nanjing, China Corresponding author: Chen, Qiu-Feng (chenqiufeng0204@126.com) Source title: Guangdianzi Jiguang/Journal of Optoelectronics Laser Abbreviated source title: Guangdianzi Jiguang Volume: 26 Issue: 12 Issue date: December 15, 2015 Publication year: 2015 Pages: 2400-2408 Language: Chinese ISSN: 10050086 CODEN: GUJIE9 Document type: Journal article (JA) Publisher: Board of Optronics Lasers Abstract: For spectral matting, the components are not compact enough. It's hard to distinguish the foreground components from the background components without heuristic prior. Therefore, this paper presents an unsupervised matting method with visual attention prior. Based on the sorted radial-difference texture operator, the joint color and texture features are abstracted. The features are clustered to obtain the initial components whose dimensions are reduced previously. Taking advantage of the human visual attention prior, the component's center prior, boundary prior and saliency are calculated. Then the foreground and background possibilities of the components are calculated. Based on the foreground and background possibilities, a coarse matte with the lowest matting cost is obtained. Finally, the coarse matte is optimized using the visual prior information and laplacian local information. The results reveal that the proposed algorithm has better integrity and detail preserving ability. © 2015, Board of Optronics Lasers. All right reserved. Number of references: 24 Main heading: Behavioral research Controlled terms: Electronic equipment - Optical devices Uncontrolled terms: Background components - Color and texture features - Color textures - Foreground-background possibility - Human visual attention - Texture operators - Unsupervised matting - Visual Attention Classification code: 741.3 Optical Devices and Systems - 971 Social Sciences DOI: 10.16136/j.joel.2015.12.0390 Database: Compendex Compilation and indexing terms, © 2016 Elsevier Inc. |
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