The main purpose of this paper is to introduce 3D integral imaging interpolation method, to overcome the 3D missing information problem occurred between cylindrical lenses (micro-images) due to occluded areas in the previous cylindrical lens, new cylindrical lens shows an area, to generate one single photo-realistic 3D integral imaging frame. The method is based on a Multiprocessor ray-tracer containing 3D integral imaging parser, 3D integral camera model, a 3D integral imaging renderer, spatial coherence and 3D scene transformations. Consequently, an increase in speed in the generation of still 3D integral image is achieved compared to fully ray tracing time of missing pixels. Experiments show that a significant reduction in execution time is achieved by using the 3D integral interpolation process. Savings up to (57%-66%) in the ray tracing time when compared to fully ray tracing the missing pixels depends on the complexity of the scene.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.