Recovering Intrinsic Images From Image Sequences Using Total Variation Models
文献类型：会议论文
| 作者 | Xiaohua Xie; Wenyong Gong; Minglun Gong; Tieru Wu |
| 出版日期 | 2015 |
| 会议名称 | 2015 IEEE International Conference on Image Processing |
| 会议地点 | Quebec City/Canada |
| 英文摘要 | Recovering intrinsic images from natural photos is one of the foundational problems in computer vision. This mission always falls into an ill-posed problem. In order to attain reasonable estimations, one strategy is to use multiple images of the scene under various lightings so as to narrow the solution space, whereas another is to utilize priori knowledge as constraints. In this paper, we present an approach to deriving intrinsic images (including illumination images and reflectance images) that employs both strategies. Specifically, the Total Variation (TV) constraint is imposed because of its excellent edge preservation ability and simple parameter settings. To solve this objective function efficiently, we propose using the Alternating Direction Method of Multipliers (ADMM) to build an iterative numerical scheme. Experimental results illustrate the effectiveness of the proposed model and the numerical scheme. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/6965]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2015 |
| 推荐引用方式 GB/T 7714 | Xiaohua Xie,Wenyong Gong,Minglun Gong,et al. Recovering Intrinsic Images From Image Sequences Using Total Variation Models[C]. 见:2015 IEEE International Conference on Image Processing. Quebec City/Canada. |
入库方式： OAI收割
来源：深圳先进技术研究院
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