Frequency Descriptor based Light Field Depth Estimation Depth estimation plays an important role in light field data processing. However, conventional focus measurement based approaches fail at the angular patches containing occlusion boundaries. In this paper, a novel depth estimation algorithm is proposed based on frequency descriptors. On the basis of the imaging process analysis, we propose to first perform the occlusion discrimination and edge orientation extraction in the frequency domain for the spatial patch from the central subaperture image. Then, according to the occlusion orientation, a variableblocksize angular patch is selected in the normal direction to construct the frequency descriptors for focus measurement in the focal stack. Experimental results demonstrate superior performance of the proposed method in robustness and depth accuracy.

Rapid Light Field Depth Estimation with SemiGlobal Matching 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 SemiGlobal Matching for the processing of light field images. It forms on comparison of pixelsxe2x80x99 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.