Abstract

A Fast calculation method for full-color computer-generated hologram of real objects is proposed. In this research, the depth and color information of the real scene is acquired by with a depth camera, and a point cloud model is extracted from the 3D information. The method consists of three steps: the first is calculation of multi-layers located inside the point cloud. In the second step, we separate point cloud model into red-green-blue (RGB) channels using depth-layer weighted prediction. In the third step, in order to obtain the CGH, we execute diffraction calculations based on fast Fourier transform (FFT) from the multi-layers to the CGH, which parallel each other. The numerical simulation results confirm that our proposed method is able to improve CGH computational speed.

© 2017 Optical Society of America

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