| Title: | Silhouette Extraction for Shadow Volumes Using Potentially Visible Sets |
| Authors: | Kobrtek, Jozef Milet, Tomáš Herout, Adam |
| Citation: | Journal of WSCG. 2018, vol. 26, no. 1, p. 9-16. |
| Issue Date: | 2019 |
| Publisher: | Václav Skala - UNION Agency |
| Document type: | článek article |
| URI: | http://hdl.handle.net/11025/35549 |
| ISSN: | 1213-6964 (on-line) 1213-6972 (print) 1213-6980 (CD-ROM) |
| Keywords: | silueta extrakce;oktalový strom;komprese;stínové svazky |
| Keywords in different language: | silhouette extraction;octree;compression;shadow volumes |
| Abstract in different language: | In this paper, we present a novel approach for accelerated silhouette computation based on potentially visible sets stored in the octree acceleration structure. The scene space, where the light source can appear, is subdivided into voxels. The octree voxels contain two precomputed sets of edges that potentially or always belong to the silhouette. We also propose a novel method of octree compression for reduction of the memory footprint of the resulting acceleration structure. Using our novel technique we were able to considerably decrease the computational complexity of finding the silhouette and reduce its sensitivity to the number of edges. |
| Rights: | © Václav Skala - UNION Agency |
| Appears in Collections: | Volume 27, Number 1 (2019) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Kobrtek.pdf | Plný text | 1,79 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/35549Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.