dc.contributor.author | Wolfe, Rosalee | en_US |
dc.contributor.editor | José Carlos Teixeira | en_US |
dc.contributor.editor | Werner Hansmann | en_US |
dc.contributor.editor | Michael B. McGrath | en_US |
dc.date.accessioned | 2023-03-09T10:02:24Z | |
dc.date.available | 2023-03-09T10:02:24Z | |
dc.date.issued | 2023 | |
dc.identifier.isbn | 978-3-03868-207-3 | |
dc.identifier.uri | https://doi.org/10.2312/pt.19991573 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/pt19991573 | |
dc.description.abstract | Computer science students contemplating a career in graphics need to develop a visual sense, but traditional course topies do not meet this need. Visual analysis is a teaching technique developed for computer science instructors that helps impart this ability. Through the use of a few visual cues, students learn to visually identify surface algorithms, shaders and lighting techniques. An interactive software package called TERA (Tool for Exploring Rendering Algorithms) provides nearly a million image combinations that students can use to practice their visual identification skills. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | algorithm visualisation, computcr graphics education | |
dc.subject | algorithm visualisation | |
dc.subject | computcr graphics education | |
dc.title | Strengthening Visual Skills by Recognising Rendering Algorithms | en_US |
dc.description.seriesinformation | GVE 1999 - Computer Graphics and Visualization Education 99 | |
dc.description.sectionheaders | Computer Graphics Curricula in Computer Science | |
dc.identifier.doi | 10.2312/pt.19991573 | |
dc.identifier.pages | 79-84 | |
dc.identifier.pages | 6 pages | |