Computer-generated holograms (CGHs) using multiview images (MVIs) are holograms generated with multiple ordinary cameras. This process typically requires a huge number of cameras arranged at high density. In this paper, we propose a method to improve CGH using MVIs that obtains the MVIs by using voxel models rather than cameras. In the proposed method the voxel model is generated using the shape-from-silhouette (SFS) technique. We perform SFS using a small number of cameras arranged sparsely to create voxel models of objects and then generate the required number of images from these models by volume rendering. This enables us to generate CGHs using MVIs with just a small number of sparsely arranged cameras. Moreover, the proposed method arrange CGHs using MVIs at arbitrary positions.

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Holography is an ideal 3D display technique that displays beautiful 3D images. However, it presents some difficulties, one of which is how to capture images under natural light. The holographic stereogram solves this problem, but it requires a large number of pictures that are captured from various directions with narrow durations. Therefore, this paper proposes a new capturing method that uses a small number of multi-view images and a method that creates holograms from the images. The methods are based on estimating the three-dimensional shape of the target objects and generating intermediate images. The effectiveness of the proposed methods is confirmed by computer simulations and optical experiments, which show that the reconstructed images are the same quality as holographic stereograms. 1.