Abstract：To achieve accurate depth estimation by using light field data effectively, the light field depth estimation is reviewed in this paper. Firstly, the basic theory of light field is expounded, and the light field depth estimation methods are classified into three categories, methods based on epipolar plane image, multiview and refocusing. Next, the effects of illuminant variations on the performance of depth estimation are compared on synthetic datasets. Besides, a more comprehensive and challenging light field dataset is constructed, and the effect of complex scenes on the performance of depth estimation is qualitatively and quantitatively analyzed on the light field benchmark dataset and LytroDataset. Furthermore, the development of this field is pointed out.
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2016, Vol. 29 
