| DC Field | Value | Language |
|---|
| dc.contributor.author | Mazouka, D. | - |
| dc.contributor.author | Krasnoproshin, V. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2024-02-21T06:27:00Z | - |
| dc.date.available | 2024-02-21T06:27:00Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.citation | Mazouka, D. Efficient Scene Image Synthesis Based on Pipeline Technology / D. Mazouka, V. Krasnoproshin // Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) : Proceedings of the 16th International Conference, October 17–19, 2023, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2023. – P. 143–146. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/54298 | - |
| dc.description.abstract | Modern computer graphics is a large and complex area of technology. In this paper we analyse the problem of scene image synthesis. We propose a general approach to using graphics pipeline for rendering that preserves its flexibility while improving the efficiency of development. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | BSU | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | computer graphics | en_US |
| dc.subject | graphics pipeline | en_US |
| dc.subject | graphics engine | en_US |
| dc.title | Efficient Scene Image Synthesis Based on Pipeline Technology | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023)
|
