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Conference Paper 2D Reprojection of Plenoptic 3D Voxel Data Using Gaussian Intensity Spreading
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Authors
Seong-Jun Bae, Soowoong Kim, Hahyun Lee, Jinho Lee, Sung-Chang Lim, Gun Bang, Jung Won Kang
Issue Date
2020-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1395-1397
Publisher
IEEE
Language
Korean
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC49870.2020.9289557
Abstract
This paper presents an efficient way of 2D reprojection method of 3D voxel data which is generated from multiple 2D image sources. In order to minimize the image quality degradation generated by postprocessing such as hole filling, A 2D reprojection method using gaussian aggregation of voxel attribute intensity is proposed. Proposed method efficiently removes generation of holes while maintaining graceful intensity of projected 2D image planes, which can finally reconstruct original 2D source images with less quality degradation.
KSP Keywords
2D image, hole filling, image quality degradation