A fast calculation method for full-color holographic system with real objects captured by a depth camera is proposed. In this research, the depth and color information of the scene is acquired using a depth camera and the point cloud model is reconstructed virtually. Because each point of the point cloud is distributed precisely to the exact coordinates of each layer, each point of the point cloud can be classified into grids according to its depth. A diffraction calculation is performed on the grids using a fast Fourier transform (FFT) to obtain a computer-generated hologram (CGH). The computational complexity is reduced dramatically in comparison with conventional methods. The numerical simulation results confirm that our proposed method is able to improve full-color CGH computational speed.
There are still have many serious problems with the real-existing scenes acquisition and generation of Hologram. In this research, an efficient CGH scheme that using orthographic projection images and depth map for real-existing scenes is proposed. The orthographic projection images and depth map are generated from 3D scanned model which is captured using depth camera. The proposed method generates Multiview images with full scanned real object with not only color information but depth information for hologram generation. The additional depth information can be used in additional artifact. This method reduces the number of angular samplings of the viewpoint images, provides all the human depth cues without producing any visible artifact.