Object Color Constancy for Outdoor Multiple Light Sources
文献类型：会议论文
| 作者 | Qu LQ(屈靓琼) ; Duan ZG(段志刚); Tian JD(田建东); Han Z(韩志); Tang YD(唐延东)
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| 出版日期 | 2015 |
| 会议名称 | 1st Chinese Conference on Computer Vision, CCCV 2015 |
| 会议日期 | September 18-20, 2015, |
| 会议地点 | Xi'an, China, |
| 关键词 | Object color constancy Illumination invariant Outdoor multiple light sources Object detection |
| 页码 | 369-378 |
| 中文摘要 | Color is one of the mostly applied features for object recognition and tracking. Most work for color constancy is often based on the assumption of spatial uniformity or smooth illuminant transaction, which is not always true due to the presence of multiple light sources. In this paper, without these assumptions, we deal with the problem of color constancy in multiple light sources by computing the color constancy on a given object rather than the whole image. It keeps the color constancy for a given object under different outdoor lighting conditions, especially for an object under different shadows. We first calculate a transfer vector based on the given object and the illuminants ratio vector. This vector is then added to the original image to make the object be perpendicular to the illuminants ratio vector. Finally, an object color constant image is obtained by performing an orthogonal decomposition along the illuminants ratio vector on the new image. Compared with color constancy on whole image, this proposed method can reduce color distortion in the object and keep mostly color constancy for an object to be recognized and tracked regardless of lighting conditions. Both quantitative and qualitative experiments validate our method. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | Computer Vision CCF Chinese Conference, CCCV 2015, Proceedings
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| 会议录出版者 | Springer Verlag |
| 会议录出版地 | Berlin |
| 语种 | 英语 |
| ISBN号 | 978-3-662-48569-9 |
| WOS记录号 | WOS:000368371300036 |
| 源URL | [http://ir.sia.cn/handle/173321/17467]  |
| 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 | Qu LQ,Duan ZG,Tian JD,et al. Object Color Constancy for Outdoor Multiple Light Sources[C]. 见:1st Chinese Conference on Computer Vision, CCCV 2015. Xi'an, China,. September 18-20, 2015,. |
入库方式： OAI收割
来源：沈阳自动化研究所
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