Open AccessMultiple ray cluster rendering for interactive integral imaging system
Author(s) -
Shaohui Jiao,
Xiaoguang Wang,
Min Zhou,
Weiming Li,
Tang Sai Hong,
Dongkyung Nam,
Jinho Lee,
Enhua Wu,
Haitao Wang,
Ji-Yeun Kim
Publication year - 2013
Publication title -
optics express
Language(s) - Danish
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.21.010070
Subject(s) - integral imaging , computer science , rendering (computer graphics) , 3d rendering , computer vision , computer graphics (images) , pixel , artificial intelligence , image quality , real time rendering , point cloud , image (mathematics)
In this paper, we present an efficient Computer Generated Integral Imaging (CGII) method, called multiple ray cluster rendering (MRCR). Based on the MRCR, an interactive integral imaging system is realized, which provides accurate 3D image satisfying the changeable observers' positions in real time. The MRCR method can generate all the elemental image pixels within only one rendering pass by ray reorganization of multiple ray clusters and 3D content duplication. It is compatible with various graphic contents including mesh, point cloud, and medical data. Moreover, multi-sampling method is embedded in MRCR method for acquiring anti-aliased 3D image result. To our best knowledge, the MRCR method outperforms the existing CGII methods in both the speed performance and the display quality. Experimental results show that the proposed CGII method can achieve real-time computational speed for large-scale 3D data with about 50,000 points.