Shadow Removal for Light Field Images
文献类型：会议论文
| 作者 | Zhou, Yan; Guo, Huiwen; Liang, Guoyuan; Wu, Xinyu |
| 出版日期 | 2014 |
| 会议名称 | 2014 IEEE International Conference on Information and Automation, ICIA 2014 |
| 会议地点 | 中国 |
| 英文摘要 | In this paper, we present an automatic method to remove shadows in light field images. Taking into account the internal structure of the light field data, depth map of the captured scene is extracted to calculate the surface normal. Using nonlocal matching by combining chromaticity, normal and spatial location information in an anisotropic window, the shadow confidence of each pixel is established. For effectively utilizing the prior knowledge, MRF (Markov random fields) is introduced to obtain the shadow label of each pixel iteratively. Once obtained the shadow labels of pixels, inpainting with an energy minimize framework is used to remove shadows. The experimental results on real data demonstrate good performance of this algorithm. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5658]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Zhou, Yan,Guo, Huiwen,Liang, Guoyuan,et al. Shadow Removal for Light Field Images[C]. 见:2014 IEEE International Conference on Information and Automation, ICIA 2014. 中国. |
入库方式： OAI收割
来源：深圳先进技术研究院
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