.png){kind=icon}
返回
Sky detection by effective context inference
.png){kind=icon}
PRE
AI
DOI：10.1016/j.neucom.2015.12.126.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Accurate and efficient detection of sky region plays an important role in many vision applications, such as scene parsing, image retrieval, and robot navigation. This paper presents an novel algorithm for sky detection by combining the merits of superpixels and context inference. Different from most existing solutions our method first produces the coarsely segmented sky regions by using a well-designed contextual inference model, and then uses the graph cut to refine the sky region. Moreover, a relatively large sky database is assembled for model training and evaluation of the detection algorithm. Empirically, we conduct extensive experiments on the sky dataset, and the results indicate that our approach has a higher detection accuracy than the state-of-the-art methods under various weather conditions. (C) 2016 Elsevier B.V. All rights reserved.
Keyword:
Scene parsing
Sky detection
Superpixel
Conditional random field
Context inference
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
机构
引用论文
.png){kind=icon}
Representing and recognizing the visual appearance of materials using three-dimensional textons
PREAI
分享收藏Health Literacy – a review of research using the European Health Literacy Questionnaire (HLS-EU-Q16) in 2010-2018健康素养-2010-2018使用欧洲健康素养问卷 (HLS-EU-Q16) 进行的研究综述
OAAI
OAAI分享收藏
查看更多内容