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• W2803680766 abstract "The calculation of realistic full-color holographic displays is hindered by the high computational cost. Previously, we suggested a point cloud gridding (PCG) method to calculate monochrome holograms of real objects. In this research, a relocated point cloud gridding (R-PCG) method is proposed to enhance the reconstruction quality and accelerate the calculation speed in GPU for a full-color holographic system. We use a depth camera to acquire depth and color information from the real scene then reconstruct the point cloud model virtually. The R-PCG method allows us to classify groups of object points with the same depth values into grids in the red, green, and blue (RGB) channels. Computer-generated holograms (CGHs) are obtained by applying a fast Fourier transform (FFT) diffraction calculation to the grids. The feasibility of the R-PCG method is confirmed by numerical and optical reconstruction." @default.
• W2803680766 created "2018-06-01" @default.
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• W2803680766 date "2018-05-18" @default.
• W2803680766 modified "2023-09-24" @default.
• W2803680766 title "Quality enhancement and GPU acceleration for a full-color holographic system using a relocated point cloud gridding method" @default.
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• W2803680766 doi "https://doi.org/10.1364/ao.57.004253" @default.
• W2803680766 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29791403" @default.
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