Abstract
This paper presents a method for the real-time implementation of brush stroke-based painterly rendering in a mobile environment using the General-Purpose computing on Graphics Processing Units (GPGPU). We parallelize brush search and comparison, and accelerate them using GPGPU to improve the computation time. Through this approach, a 35 times higher computational speedup was achieved for high-resolution images compared to the previous Central Processing Unit (CPU)-based painterly rendering algorithms.
| Original language | English |
|---|---|
| Title of host publication | E-Learning and Games - 11th International Conference, Edutainment 2017, Revised Selected Papers |
| Editors | Abdennour El Rhalibi, Feng Tian, Christos Gatzidis, Wen Tang, Fred Charles |
| Publisher | Springer Verlag |
| Pages | 224-227 |
| Number of pages | 4 |
| ISBN (Print) | 9783319658483 |
| DOIs | |
| State | Published - 2017 |
| Event | 11th International Conference on E-Learning and Games, Edutainment 2017 - Bournemouth, United Kingdom Duration: 26 Jun 2017 → 28 Jun 2017 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 10345 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 11th International Conference on E-Learning and Games, Edutainment 2017 |
|---|---|
| Country/Territory | United Kingdom |
| City | Bournemouth |
| Period | 26/06/17 → 28/06/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Mobile environment
- Non-photorealistic rendering
- Painterly rendering
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