Computer-generated holograms generation of a real 3D object using depth-data extracted from integral imaging technique

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Stereo matching, a technique for acquiring depth information from many images obtained by several cameras, was developed several decades ago. Recently a technique that use a lens array instead of several cameras have regarded as one of a novel depth-extraction technique because of the advantages offered by its simple system configuration. In this paper, a novel method using integral imaging (II) technique to generate the computer-generated hologram (CGH) patterns of a real three-dimensional (3D) object is proposed. Elemental images of a real 3D object are captured by an II pick up system and the captured images are modified. Disparity maps are estimated from the modified images. Then, depth data for each pixel of the object can be extracted on the frame basis from these estimated maps. Using these depth data and original color images, hologram patterns of a real object can be computationally generated. In the experiment, the character 'K' and 'W' were used as a real 3D object. Elemental images of 'K' and 'W' are captured by using the digital camera and micro lens array. And its depth data are extracted from them. Then, CGH patterns are generated with these depth-annotated images of 'K' and 'W'. Finally, the patterns are experimentally displayed via a holographic display system.