mlsanityData to 14 Oct 2026

Variational Depth from Focus Reconstruction

arXiv 1408.0173 ↗First posted 1 Aug 2014cs.CV math.OCcited by 15

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Abstract (arXiv)

This paper deals with the problem of reconstructing a depth map from a sequence of differently focused images, also known as depth from focus or shape from focus. We propose to state the depth from focus problem as a variational problem including a smooth but nonconvex data fidelity term, and a convex nonsmooth regularization, which makes the method robust to noise and leads to more realistic depth maps. Additionally, we propose to solve the nonconvex minimization problem with a linearized alternating directions method of multipliers (ADMM), allowing to minimize the energy very efficiently. A numerical comparison to classical methods on simulated as well as on real data is presented.

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Aug 2014.

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Citing papers per year: 2021: 4; 2022: 3; 2023: 1; 2024: 3; 2025: 1; 2026: 3.

15 papers.

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