Accurate Depth-from-Focus Reconstruction using Local and Nonlocal Smoothness Priors
作者： Zhiqiang Ma , Dongjoon Kim , Yeong-Gil Shin
DOI: 10.1109/ICEE49691.2020.9249800
关键词:
摘要: In this paper, we tackle the problem of reconstructing a depth image from focal stack, which is known as depth-from-focus (DFF) or shape-from-focus (SFF). Recovering smooth while preserving object structure typical issue associated with conventional DFF SFF reconstruction techniques. To address issue, propose method by including two existing local and nonlocal smoothness priors commonly used for natural matting. Through combination priors, can reconstruct sharp edges maintaining spatial consistency. We demonstrate effectiveness robustness proposed algorithm over synthetic real scene stacks in terms accuracy compared to related approaches.
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