中国科学院沈阳自动化研究所机构知识库
Advanced  
SIA OpenIR  > 机器人学研究室  > 期刊论文
题名: 静态阴影检测的研究进展
其他题名: Static Shadow Detection: A Survey
作者: 田建东; 王占鹏; 唐延东
作者部门: 机器人学研究室
关键词: 静态阴影 ; 单幅图像 ; 阴影检测
刊名: 信息与控制
ISSN号: 1002-0411
出版日期: 2015
卷号: 44, 期号:2, 页码:215-222, 256
收录类别: CSCD
产权排序: 1
项目资助者: 国家自然科学基金资助项目(61102116,61473280)
摘要: 阴影给许多计算机视觉任务带来困难,例如图像分割、物体识别、边缘检测等.正确的阴影检测不但可以避免上述问题,同时也是阴影去除的基础.因此,阴影检测技术是图像处理和计算机视觉等相关领域的一个研究热点,近年来提出了大量算法.目前,关于视频中的动态阴影,在权威期刊已发表数篇综述性文献,但针对图像中的静态阴影,国内外尚未发表相关的评述性文献.本文对近年来提出的静态阴影检测算法按照基于模型的检测算法、基于本征图像的检测算法和基于统计学习的检测算法进行了分类和评述,总结了静态阴影检测的研究现状,分析了存在的问题并进行了展望.
英文摘要: Shadows cause problems in many computer vision tasks,including image segmentation,object recognition, and edge detection. Shadow detection can be used to avoid the above-mentioned problems and can aid in shadow removal. Therefore,shadow detection is a popular topic in both image processing and in computer vision. Many shadow detection algorithms have been proposed in recent years. Currently,several review articles for moving shadow detection algorithms have been published; however,such a paper has not yet appeared for static shadow detection algorithms. In this study,we divide recent static shadow detection approaches into three categories: model-based methods,intrinsic image-based methods,and statistical learning-based methods. We survey and summarize the current status of these areas of research. We also discuss the open problems and future development.
语种: 中文
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/16207
Appears in Collections:机器人学研究室_期刊论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
静态阴影检测的研究进展.pdf(1568KB)期刊论文出版稿开放获取View Download
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[田建东]'s Articles
[王占鹏]'s Articles
[唐延东]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[田建东]‘s Articles
[王占鹏]‘s Articles
[唐延东]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: 静态阴影检测的研究进展.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2016  中国科学院沈阳自动化研究所 - Feedback
Powered by CSpace