中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Linearity of Each Channel Pixel Values from a Surface in and out of Shadows and Its Applications

文献类型:会议论文

作者Tian JD(田建东); Tang YD(唐延东)
出版日期2011
会议名称IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
会议日期June 20-25, 2011
会议地点Colorado Springs, CO
关键词MOVING-OBJECTS CAST SHADOWS REMOVAL
页码985-992
中文摘要Shadows, the common phenomena in most outdoor scenes, are illuminated by diffuse skylight whereas shaded from direct sunlight. Generally shadows take place in sunny weather when the spectral power distributions (SPD) of sunlight, skylight, and daylight show strong regularity: they principally vary with sun angles. In this paper, we first deduce that the pixel values of a surface illuminated by skylight (in shadow region) and by daylight (in non-shadow region) have a linear relationship, and the linearity is independent of surface reflectance and holds in each color channel. We then use six simulated images that contain 1995 surfaces and two real captured images to test the linearity. The results validate the linearity. Based on the deduced linear relationship, we develop three shadow processing applications include intrinsic image deriving, shadow verification, and shadow removal. The results of the applications demonstrate that the linear relationship have practical values.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者IEEE
会议录2011 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISSN号1063-6919
ISBN号978-1-4577-0393-5
WOS记录号WOS:000295615801010
源URL[http://ir.sia.cn/handle/173321/8758]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Tian JD,Tang YD. Linearity of Each Channel Pixel Values from a Surface in and out of Shadows and Its Applications[C]. 见:IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Colorado Springs, CO. June 20-25, 2011.

入库方式: OAI收割

来源:沈阳自动化研究所

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