Near surface light source estimation from a single view image

Wu Yuan Xie, C. Chung
{"title":"Near surface light source estimation from a single view image","authors":"Wu Yuan Xie, C. Chung","doi":"10.1109/WORV.2013.6521920","DOIUrl":null,"url":null,"abstract":"Several techniques have been developed for estimating light source position in indoor or outdoor environment. However, those techniques assume that the light source can be approximated by a point, which cannot be applied safely to, for example, some case of Photometric Stereo reconstruction, when the light source is placed quite close to a small-size target, and hence the size of light source cannot be ignored. In this paper, we present a novel approach for estimating light source from single image of a scene that is illuminated by near surface light source. We propose to employ a shiny sphere and a Lambertion plate as light probe to locate light source position, where albedo variance of the Lambertian plate is used as the basis of the object function. We also illustrate the convexity of this object function and propose an efficient way to search the optimal value, i.e. source position. We test our calibration results on real images by means of Photometric Stereo reconstruction and image rendering, and both testing results show the accuracy of our estimation framework.","PeriodicalId":130461,"journal":{"name":"2013 IEEE Workshop on Robot Vision (WORV)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Workshop on Robot Vision (WORV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WORV.2013.6521920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Several techniques have been developed for estimating light source position in indoor or outdoor environment. However, those techniques assume that the light source can be approximated by a point, which cannot be applied safely to, for example, some case of Photometric Stereo reconstruction, when the light source is placed quite close to a small-size target, and hence the size of light source cannot be ignored. In this paper, we present a novel approach for estimating light source from single image of a scene that is illuminated by near surface light source. We propose to employ a shiny sphere and a Lambertion plate as light probe to locate light source position, where albedo variance of the Lambertian plate is used as the basis of the object function. We also illustrate the convexity of this object function and propose an efficient way to search the optimal value, i.e. source position. We test our calibration results on real images by means of Photometric Stereo reconstruction and image rendering, and both testing results show the accuracy of our estimation framework.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
单视图近地表光源估计
在室内或室外环境中,光源位置的估计已经发展了几种技术。然而,这些技术假设光源可以被一个点近似,这不能安全地应用于,例如,在光度立体重建的某些情况下,当光源放置在离小尺寸目标很近的地方,因此光源的大小不能被忽略。本文提出了一种从近表面光源照射的场景单幅图像中估计光源的新方法。我们提出用发光球和兰伯特板作为光探针来定位光源位置,其中兰伯特板的反照率方差作为目标函数的基础。我们还说明了该目标函数的凸性,并提出了一种搜索最优值(即源位置)的有效方法。通过光度立体重建和图像渲染两种方法对标定结果进行了实景测试,结果表明了估计框架的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Automated tuning of the nonlinear complementary filter for an Attitude Heading Reference observer Sensitivity evaluation of embedded code detection in imperceptible structured light sensing Fast iterative five point relative pose estimation A wireless robotic video laparo-endoscope for minimal invasive surgery Rapid explorative direct inverse kinematics learning of relevant locations for active vision
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1