# Rapid Light Field Depth Estimation with Semi-Global Matching

arXiv: https://arxiv.org/abs/1907.13449 · HTML: https://mlsanity.com/paper/1907.13449/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 31 Jul 2019.

## Built on by (most cited first, 2 of 2)

- [Blur aware metric depth estimation with multi-focus plenoptic cameras](https://mlsanity.com/paper/2308.04252/) (2023)
- [DSER: Spectral Epipolar Representation for Efficient Light Field Depth Estimation](https://mlsanity.com/paper/2508.08900/) (2025)

## Abstract (arXiv)

Running time of the light field depth estimation algorithms is typically high. This assessment is based on the computational complexity of existing methods and the large amounts of data involved. The aim of our work is to develop a simple and fast algorithm for accurate depth computation. In this context, we propose an approach, which involves Semi-Global Matching for the processing of light field images. It forms on comparison of pixels' correspondences with different metrics in the substantially bounded light field space. We show that our method is suitable for the fast production of a proper result in a variety of light field configurations