Fast Minimax Path-Based Joint Depth Interpolation

	Fast Minimax Path-Based Joint Depth Interpolation
	Longquan Dai; Feihu Zhang; Xing Mei; Xiaopeng Zhang
发表期刊	IEEE Signal Processing Letters
	2015-05
卷号	22 期号:5 页码:623－627
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.
关键词	Depth Map Minimax Path Upsampling
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/19929
专题	多模态人工智能系统全国重点实验室_多媒体计算
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.

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