5 June 2014 Acceleration of color computer-generated hologram from three-dimensional scenes with texture and depth information
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Abstract
We propose acceleration of color computer-generated holograms (CGHs) from three-dimensional (3D) scenes that are expressed as texture (RGB) and depth (D) images. These images are obtained by 3D graphics libraries and RGB-D cameras: for example, OpenGL and Kinect, respectively. We can regard them as two-dimensional (2D) cross-sectional images along the depth direction. The generation of CGHs from the 2D cross-sectional images requires multiple diffraction calculations. If we use convolution-based diffraction such as the angular spectrum method, the diffraction calculation takes a long time and requires large memory usage because the convolution diffraction calculation requires the expansion of the 2D cross-sectional images to avoid the wraparound noise. In this paper, we first describe the acceleration of the diffraction calculation using “Band-limited double-step Fresnel diffraction,” which does not require the expansion. Next, we describe color CGH acceleration using color space conversion. In general, color CGHs are generated on RGB color space; however, we need to repeat the same calculation for each color component, so that the computational burden of the color CGH generation increases three-fold, compared with monochrome CGH generation. We can reduce the computational burden by using YCbCr color space because the 2D cross-sectional images on YCbCr color space can be down-sampled without the impairing of the image quality.
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Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito, "Acceleration of color computer-generated hologram from three-dimensional scenes with texture and depth information", Proc. SPIE 9117, Three-Dimensional Imaging, Visualization, and Display 2014, 91170B (5 June 2014); doi: 10.1117/12.2049675; https://doi.org/10.1117/12.2049675
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