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
PDF ArticleMore Like This
Yu Zhao, Md-Sifatul Islam, Shahinur Alam, Seok-Hee Jeon, and Nam Kim
JTu4A.2 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2018
Yu Zhao, Ki-Chul Kwon, Yan-ling Piao, Young-Tae Lim, Seok-Hee Jeon, and Nam Kim
DW5I.8 Digital Holography and Three-Dimensional Imaging (DH) 2016
Yan-Ling Piao, Sang-Keun Gil, and Nam Kim
M4B.4 Digital Holography and Three-Dimensional Imaging (DH) 2017