| Autor: |
Abhinav Dayal, Sumit Gupta, Sreenu Ponnada, D. Jude Hemanth |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
IEEE Access, Vol 9, Pp 67752-67760 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2021.3076898 |
| Popis: |
Virtual and Augmented Reality applications demand low-latency rendering. Adaptive Frameless Rendering (AFR) techniques offer a potential alternative to currently dominating non-adaptive double-buffered real-time 3D rendering techniques. However, due to their adaptive non-contiguous importance sampling, AFR does not benefit fully from the performance improvements offered by caching the local scene information, resulting in a lower sampling rate. This article presents an experimental, followed by an information-theoretic analysis, of this coherence vs. adaptivity trade-off in AFR. It introduces a novel way to utilize entropy to evaluate the efficiency of a rendering technique. It also presents various spatial coherence exploiting techniques in 3D path tracing and their application to AFR, paving the way to future research in the field. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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