Computational Integral Imaging Reconstruction of a Partially Occluded Three-Dimensional Object Using an Image Inpainting Technique

다국어 초록 (Multilingual Abstract)

In this paper we propose an improved version of the computational integral imaging reconstruction(CIIR) for visualizing a partially occluded object by utilizing an image inpainting technique. In the proposedmethod the elemental images for a partially occluded three-dimensional (3D) object are recorded throughthe integral imaging pickup process. Next, the depth of occlusion within the elemental images is estimatedusing two different CIIR methods, and the weight mask pattern for occlusion is generated. After that, weapply our image inpainting technique to the recorded elemental images to fill in the occluding area withreliable data, using information from neighboring pixels. Finally, the inpainted elemental images for theoccluded region are reconstructed using the CIIR process. To verify the validity of the proposed system,we carry out preliminary experiments in which faces are the objects. The experimental results reveal thatthe proposed system can dramatically improve the quality of a reconstructed CIIR image

참고문헌 (Reference)

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