| Autor: |
Tesfay, Shewit W., Demirdağ, Zeynep Gülbeyaz, Uğurdağ, H. Fatih, Ateş, Hasan Fehmi |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
2022 7th International Conference on Computer Science and Engineering (UBMK). |
| DOI: |
10.1109/ubmk55850.2022.9919473 |
| Popis: |
Real-time image stitching is critical, especially in un-manned aerial vehicles, and its acceleration has received attention in recent years. This paper describes an image stitching acceleration scheme for heterogeneous (CPU+GPU) devices. Acceleration is attempted with both multithreading and multiprocessing. Most time-critical functions in the algorithm are offloaded on to the GPU. We crafted a 3-buffer ping-pong mechanism for synchro-nization and data transfer among threads/processes in order to maximize CPU utilization. We carried out our experiments on Nvidia Jetson AGX Xavier. Results show that more than 3x acceleration is achieved. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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