The frequency estimation of the plenoptic function (POF) is an important research topic in spectral analysis for determining the minimum sampling rate of image-based rendering. In this paper, we mathematically derive a frequency estimation function of the POF using the autocorrelation theory. The autocorrelation function (ACF) of the POF is studied along both the spatial and image plane frequency axes. The influence of the scene's complexity and depth on the ACF of the POF is analyzed. Furthermore, we study the frequency estimation error to analyze the performance of the method. Existing techniques typically use Fourier transformation to determine the frequency of the POF. The technique presented herein simply starts from measurements of the light field in a finite number of positions, and the information from the light field is analyzed in the spatial domain. Finally, experimental results are presented to demonstrate that the proposed method can effectively estimate the frequency of the POF. The results are shown to be in good agreement with traditional methods.
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