基于SPO和立体匹配的深度估计算法

Depth Estimation Based on SPO and Stereo Matching

目前,光场图像深度估计算法主要分为EPI、立体匹配、散焦及融合和机器学习等方法。提出一种集成EPI和立体匹配两种方法优点的光场图像深度估计算法。该算法首先分别从SPO算法和基于相移理论的立体匹配算法中获取深度图,然后提取SPO算法深度图的高频部分和立体匹配算法的低频部分,最终融合成新的深度图。实验表明该算法不仅使深度图的轮廓和纹理更加清晰,而且使深度图更平滑、更柔和。

At present,light field image depth estimation algorithms are mainly divided into methods such as EPI,stereo matching,defocus and fusion,and machine learning.This paper mainly proposes a light field image depth estimation algorithm that integrates the advantages of EPI and stereo matching.The algorithm first obtains the depth map from the SPO algorithm and the stereo matching algorithm based on phase shift theory,then extracts the high frequency part of the SPO algorithm depth map and the low frequency part of the stereo matching algorithm,and finally merges into a new depth map.Experiments show that the algorithm not only makes the contour and texture of the depth map clearer,but also makes the depth map smoother and softer.