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Multiple-camera holographic system featuring efficient depth grids for representation of real 3D objects

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Abstract

Recently, computer-generated holograms (CGHs) of real three-dimensional (3D) objects have become widely used to support holographic displays. Here, a multiple-camera holographic system featuring an efficient depth grid is developed to provide the correct depth cue. Multidepth cameras are used to acquire depth and color information from real scenes, and then to virtually reconstruct point cloud models. Arranging the depth cameras in an inward-facing configuration allowed simultaneous capture of objects from different directions, facilitating rendering of the entire surface. The multiple relocated point cloud gridding method is proposed to generate efficient depth grids by classifying groups of object points with the same depth values in the red, green, and blue channels. CGHs are obtained by applying a fast Fourier transform diffraction calculation to the grids. Full-color reconstructed images were obtained flexibly and efficiently. The utility of our method was confirmed both numerically and optically.

© 2019 Optical Society of America

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