Real time visualization of large data using clustered projections
| dc.contributor.author | Bagur, P.D. | |
| dc.date.accessioned | 2026-02-06T06:39:59Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | Modern graphics systems rely on many techniques to achieve interactive frame-rates for rendering large and complex scenes. Impostoring is a popular technique where rendering of repetitive geometry is optimized by leveraging pre-calculated information for each type of repeated geometry. This paper discusses a view independent impostor-algorithm that stores the sampled projections of a given surface in a clustered format. The implications of such a format on the rendering performance and storage are discussed along with some of its advantages like selective adjustment of level of detail and shadowing. © 2014 Springer International Publishing. | |
| dc.identifier.citation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, Vol.8698 LNCS, , p. 166-169 | |
| dc.identifier.issn | 3029743 | |
| dc.identifier.uri | https://doi.org/10.1007/978-3-319-11650-1_15 | |
| dc.identifier.uri | https://idr.nitk.ac.in/handle/123456789/32617 | |
| dc.publisher | Springer Verlag service@springer.de | |
| dc.subject | image based rendering | |
| dc.subject | impostor rendering | |
| dc.subject | real-time rendering | |
| dc.title | Real time visualization of large data using clustered projections |