期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

一种鲁棒的实时室外光照估计算法 被引量：4

Robust and Real-Time Outdoor Illumination Estimation
在线阅读 下载PDF
导出
摘要 针对动态变化的室外光照求解问题,提出一种室外场景的实时光照估计算法.该算法基于室外场景图像的线性分解模型,利用太阳光基图像中阴影像素的特点和视频中光照的时空连续性构建由数据项和光滑项组成的目标函数,对太阳光和天空光的入射光强进行求解,得到视频帧图像所对应的实时光照参数与相应的太阳光基图像.实验结果表明,文中算法可应用于计算机视觉中受光照变化影响的在线视频处理,如增强现实、视频阴影检测、重光照等. To estimate dynamic changing illumination of outdoor scenes, a real-time video based illumination estimation algorithm is proposed. It adheres to the linear decomposition model of outdoor scene image and fully explores the lighting features of shadowed pixels as well as the illumination coherence between adjacent frames to construct an optimization function to solve for the incident intensity of skylight and sunlight. Experimental results demonstrate the robustness of the proposed algorithm as well as its applicability in augmented reality, shadow detection and relighting.
作者 刘艳丽 杨美燕 邢冠宇 吴志红 彭群生
机构地区 四川大学计算机学院 四川大学视觉合成图形图像技术国防重点学科实验室 浙江大学CAD&CG国家重点实验室
出处 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2013年第6期767-773,共7页 Journal of Computer-Aided Design & Computer Graphics
基金 国家“九七三”重点基础研究发展计划项目(2009CB320800) 国家自然科学基金(61103137,60903118) 浙江大学CAD&CG国家重点实验室开放课题(A1112)
关键词 室外场景 光照估计 实时性 outdoor scenes illumination estimation real-time performance
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献18

  • 1Liu Y L. Eihachiro N. Qin X v . et al. Light source estimation of outdoor scenes for mixed reality[J]. The Visual Computer. 2009. 25(5-7): 637-646.
  • 2Liu Y L. Peng Q S. Qin X Y, et al. A new approach to illumination esrimai ion based on statistical analysis for augmented reality[J]. Computer Animation and Virtual Worlds, 2010, 2](3/4): 321-330.
  • 3杨美燕,吴志红,刘艳丽,秦学英,彭群生.一种基于偏最小二乘法的室外光照估计算法[J].计算机辅助设计与图形学学报,2012,24(4):541-547. 被引量：2
  • 4Xing G Y. Liu Y L, Peng Q S. et al . On-line illumination estimation of outdoor scenes based on area selection for augmented reality[CJ //Proceeciings of the 12th International Conference on CAD/Graphics. Los Alamitos: IEEE Computer Society Press. 2011: 439-.\42.
  • 5Hsu Y Z, Nagel H H, Rekers G. New likelihood test methods for change detection in image sequences[J]. Computer Vision, Graphics, and Image Processing, 1984, 26 (1): 73-106.
  • 6Long W, Yang Y H. Stationary background generation: an alternative to the difference of two images[J]. Pattern Recognition, 1990, 23(12): 1351-1359.
  • 7Rosin P, Ellis T. Detecting and classifying intruders in image sequences[CJ IIProceedings of Conference on British Machine Vision. Berlin: Springer, 1991: 293-300.
  • 8Yang Y H, Levine M D. Background primal sketch: an approach for tracking moving objects[J]. Machine Vision and Applications, 1992, 5(1): 17-34.
  • 9Bichsel M. Segmenting simply connected moving objects in a static scene[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1994, 16(11): 1138-1142.
  • 10Salvador E, Green P, Ebrahimi T. Shadow identification and classification using invariant color models[CJ IIProceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. Los Alamitos: IEEE Computer Society Press, 2001, 3: 1545-1548.

二级参考文献16

  • 1Xu S,Wallace A M.Recovering surface reflectance andmultiple light locations and intensities from image data[J].Pattern Recognition Letters,2008,29(11):1639 1647
  • 2Li Y Z,Lin S,Kang S B,et al.Single-image reflectanceestimation for relighting by iterative soft grouping[C]??Proceedings of the 10th Pacific Conference on ComputerGraphics and Applications.Los Alamitos:IEEE ComputerSociety Press,2002:483 486
  • 3Matsushita Y,Lin S,Kang S B,et al.Estimating intrinsicimages from image sequences with biased illumination[M]??Lecture Notes in Computer Science.Heidelberg:Springer,2004,3022:274 286
  • 4Ramamoorthi R,Hanrahan P.On the relationship betweenradiance and irradiance:determining the illumination fromimages of a convex Lambertian object[J].Journal of theOptical Society of America A:Optics and Image Science,andVision,2001,18(10):2448 2459
  • 5Vogiatzis G,Favaro P,Cipolla R.Using frontier points torecover shape,reflectance and illumination[C]??Proceedingsof IEEE International Conference on Computer Vision.LosAlamitos:IEEE Computer Society Press,2005:228 235
  • 6Farenzena M,Fusiello A.Recovering intrinsic images usingan illumination invariant image[C]??Proceedings of IEEEInternational Conference on Image Processing.Piscataway:IEEE Computer Society Press,2007:III485III488
  • 7Tappen M F,Adelson E H,Freeman W T.Estimatingintrinsic component images using non-linear regression[C]??Proceedings of IEEE Conference on Computer Vision andPattern Recognition.Los Alamitos:IEEE Computer SocietyPress,2006:1992 1999
  • 8Weiss Y.Deriving intrinsic images from image sequences[C]??Proceedings of the 8th IEEE International Conferenceon Computer Vision.Los Alamitos:IEEE Computer SocietyPress,2001:68 75
  • 9Matsushita Y,Nishino K,Ikeuchi K,et al.Illuminationnormalization with time-dependent intrinsic images for videosurveillance[J].IEEE Transactions on Pattern Analysis andMachine Intelligence,2004,26(10):1336 1347
  • 10Andersen M S,Jensen T,Madsen C B.Estimation ofdynamic light changes in outdoor scenes without the use ofcalibration objects[C]??Proceedings of the 18th InternationalConference on Pattern Recognition.Los Alamitos:IEEEComputer Society Press,2006:91 94

共引文献1

同被引文献20

  • 1李继芳.实用计算机图形学[M].北京:清华大学出版社,2012:14-16.
  • 2陆玲.计算图形学[M].北京:电子工业出版社,2012:17-20.
  • 3LI Tao.A polymorphic array architecture for graphics and image processing[C]//2012 5th Int Symp Parallel Architectures,Algorithms and Programming,Taipei, IEEE Computer Society CPS,2003:242-249.
  • 4LI Hen,WANG Long.Parallel programming languages on multi-core and many-core architectures[J].Information Technology Letter,2012,10(1):23-30.
  • 5李继芳,王仁芳,柴本成,等.实用计算机图形学[M].北京:清华大学出版社,2012.
  • 6陆玲.计算图形学[M].北京:电子工业出版社,2012.
  • 7LI T. A polymorphic array architecture for graphics and imageprocessing[C]//2012 5th Int. Symp. Parallel Architectures,Algorithms and Programming,Dec. 2013,Taipei,IEEE Computer Society CPS,2013.
  • 8LI H,WANG L. Parallel programming languages on multi-core and many-core architectures[J].Information TechnologyLetter,2012,10(1):23-30.
  • 9陈靖,王涌天,刘越,刘伟,郭俊伟,林精敦.适用于户外增强现实系统的混合跟踪定位算法[J].计算机辅助设计与图形学学报,2010,22(2):204-209. 被引量：21
  • 10唐思敏,党杰,钟升.基于SIMD PE阵列的图像同态滤波并行算法[J].西安工程大学学报,2010,24(3):302-305. 被引量：3

引证文献4

二级引证文献10

计算机辅助设计与图形学学报
2013年 第6期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部