Welcome to the InfoSci Platform
Reference Hub1
Galactica, a Digital Planetarium for Immersive Virtual Reality Settings

Galactica, a Digital Planetarium for Immersive Virtual Reality Settings

Miguel Sales Dias, Jorge d'Alpuim, Pedro Caetano
Copyright: © 2016 |Volume: 7 |Issue: 1 |Pages: 21
ISSN: 1947-3117|EISSN: 1947-3125|EISBN13: 9781466692022|DOI: 10.4018/IJCICG.2016010102
Cite Article Cite Article

MLA

Dias, Miguel Sales, et al. "Galactica, a Digital Planetarium for Immersive Virtual Reality Settings." IJCICG vol.7, no.1 2016: pp.19-39. http://doi.org/10.4018/IJCICG.2016010102

APA

Dias, M. S., d'Alpuim, J., & Caetano, P. (2016). Galactica, a Digital Planetarium for Immersive Virtual Reality Settings. International Journal of Creative Interfaces and Computer Graphics (IJCICG), 7(1), 19-39. http://doi.org/10.4018/IJCICG.2016010102

Chicago

Dias, Miguel Sales, Jorge d'Alpuim, and Pedro Caetano. "Galactica, a Digital Planetarium for Immersive Virtual Reality Settings," International Journal of Creative Interfaces and Computer Graphics (IJCICG) 7, no.1: 19-39. http://doi.org/10.4018/IJCICG.2016010102

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

The authors describe a new Digital Planetarium system and application (“Galactica”), for interactive visualization of astrophysical data and phenomena in immersive virtual reality (VR) settings, based in OpenSceneGraph (OSG). Galactica enables a visual and aural experience of a virtual space traveler, that can go anywhere in the Solar System and the Milky Way at any speed. The application was tested with an available dataset of such scenery, featuring 100 629 textured billboards representing stars and additional 104 328 polygons, representing constellations, orbits, planets and respective moons of the Solar System. The authors have computed the frame rate, GPU traverse time, Cull traverse time and Draw traverse time for three visualization conditions: (A) standard OSG view frustum culling technique; (B) view frustum culling with an octree organization of the scene; (C) view frustum culling with same organization of the scene and the occlusion culling algorithm. They have generally concluded that their acceleration techniques out-performs the standard OSG view frustum culling for the mentioned metrics, when around half or less than half of the dataset is in view of the virtual camera.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.