| 查看: 340 | 回复: 4 | |||
| 本帖产生 1 个 ，点击这里进行查看 | |||
| 当前只显示满足指定条件的回帖，点击这里查看本话题的所有回帖 | |||
[求助]
请帮忙看看这两篇文章是否被检索？
|
|||
|
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） |
回复此楼» 猜你喜欢
计算机、0854电子信息（085401-058412）调剂
已经有4人回复
-
基金申报
已经有3人回复
-
国自然申请面上模板最新2026版出了吗？
已经有9人回复
-
溴的反应液脱色
已经有6人回复
-
纳米粒子粒径的测量
已经有7人回复
-
常年博士招收(双一流，工科)
已经有4人回复
-
推荐一本书
已经有10人回复
-
参与限项
已经有5人回复
-
有没有人能给点建议
已经有5人回复
-
假如你的研究生提出不合理要求
已经有12人回复
【答案】应助回帖
| detailed_3-30-2016_2491982 |
» 本帖附件资源列表
-
欢迎监督和反馈：小木虫仅提供交流平台，不对该内容负责。
本内容由用户自主发布，如果其内容涉及到知识产权问题，其责任在于用户本人，如对版权有异议，请联系邮箱：xiaomuchong@tal.com - 附件 1 : Engineering_Village_detailed_3-30-2016_2491982.pdf
2016-03-30 10:50:24, 11.58 K
4楼2016-03-30 10:50:34
2楼2016-03-30 10:46:38
【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
|
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. |
3楼2016-03-30 10:47:38
5楼2016-04-01 20:05:40