Fast Minimax Path-Based Joint Depth Interpolation
文献类型：期刊论文
| 作者 | Longquan Dai ; Feihu Zhang; Xing Mei; Xiaopeng Zhang
|
| 刊名 | IEEE Signal Processing Letters
 |
| 出版日期 | 2015-05 |
| 卷号 | 22期号:5页码:623－627 |
| 关键词 | Depth Map Minimax Path Upsampling |
| 英文摘要 | We propose a fast minimax path-based depth interpolation method. The algorithm computes for each target pixel varying contributions from reliable depth seeds, and weighted averaging is used to interpolate missing depths. Compared with state-of-the-art joint geodesic upsampling method which selects the K nearest seeds to interpolate missing depths with O(Kn) complexity, our method does not need to limit the number of seeds to K and reduces the computational complexity to O(n). In addition, the minimax path chooses a path with the smallest maximum immediate pairwise pixel difference on it, so it tends to preserve sharp depth discontinuities better. In contrast to the results of previous depth upsampling algorithms, our approach can provide accurate depths with fewer artifacts. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/19929]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队 |
| 作者单位 | Institute of Automation Chinese Academy of Sciences, Beijing, China |
| 推荐引用方式 GB/T 7714 | Longquan Dai,Feihu Zhang,Xing Mei,et al. Fast Minimax Path-Based Joint Depth Interpolation[J]. IEEE Signal Processing Letters,2015,22(5):623－627. |
| APA | Longquan Dai,Feihu Zhang,Xing Mei,&Xiaopeng Zhang.(2015).Fast Minimax Path-Based Joint Depth Interpolation.IEEE Signal Processing Letters,22(5),623－627. |
| MLA | Longquan Dai,et al."Fast Minimax Path-Based Joint Depth Interpolation".IEEE Signal Processing Letters 22.5(2015):623－627. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。