2018
DOI: 10.1002/jsid.676
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Elemental image array generation method by using optimized depth image‐based rendering algorithm for integral imaging display

Abstract: We propose an elemental image array (EIA) generation method by using an optimized depth image‐based rendering (DIBR) algorithm. In this method, the EIA is synthesized by the reference and virtual viewpoint elemental images, and the virtual viewpoint elemental images at the given locations are generated by DIBR algorithm. We optimize the existing DIBR algorithm by adaptively repairing the warped depth images in the processing part and extend the generation dimension of the virtual viewpoint elemental images fro… Show more

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Cited by 3 publications
(2 citation statements)
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“…(2) Aiming at the hole problem caused by the change of the occlusion relationship, a hole-filling method based on background recognition is proposed. (3) The performance of the hybrid algorithm of quantum particle swarm optimization and harmony search is studied, and its simulation verification is carried out, and it is applied to the localization of wireless sensor network nodes.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…(2) Aiming at the hole problem caused by the change of the occlusion relationship, a hole-filling method based on background recognition is proposed. (3) The performance of the hybrid algorithm of quantum particle swarm optimization and harmony search is studied, and its simulation verification is carried out, and it is applied to the localization of wireless sensor network nodes.…”
Section: Introductionmentioning
confidence: 99%
“…Fei et al believe that the virtual screening method has become an adaptive response to a large number of throughput synthesis and screening techniques. Based on the structural permeation paradigm, he discussed three possible virtual screening schemes for optimizing binding affinity and pharmacokinetic properties [3]. Kosuke et al believe that Kinect is a motion-sensing camera released by Microsoft for generating depth and color images.…”
Section: Introductionmentioning
confidence: 99%