Research On Depth Estimation and Fast 3D Reconstruction Based on Light Field Images

Authors

  • Yuhang Ma Nanjing Institute of Engineering, Nanjing, Jiangsu 211167

DOI:

https://doi.org/10.53469/jtpes.2025.05(03).06

Keywords:

Light Field Image, Depth Estimation, Deep Learning, Fast 3D Reconstruction

Abstract

Three-dimensional reconstruction is one of the classical problems in computer vision, and its application area is widely used , which has been a hot spot for research in related fields. And the accuracy and speed of 3D reconstruction depends on the estimation of scene depth information. With the development of light field imaging technology, it is more and more convenient to acquire light field images, which contain four-dimensional information and are beneficial to the accurate estimation of scene depth information. The application of deep learning in light field image depth estimation improves the speed and accuracy of light field image depth estimation, and further enables the 3D reconstruction of the scene. In this paper, we study the use of light-field images combined with deep learning for scene depth estimation, and finally realize the near- field fast 3D reconstruction.

References

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Published

2025-03-07

How to Cite

Ma, Y. (2025). Research On Depth Estimation and Fast 3D Reconstruction Based on Light Field Images. Journal of Theory and Practice of Management Science, 5(3), 27–32. https://doi.org/10.53469/jtpes.2025.05(03).06