Performance comparison of parallel turbulent noise evaluation with different gradient selection methods
Noise is of vital interest in many parts of computer sciene, especially in the computer graphics eld where noise is used to create nature-like e ects. Perlin’s 1985 algorithm to generate noise remains the most pop- ular in spite of many alternatives having been presented over the years. In this repo...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
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KTH, Skolan för datavetenskap och kommunikation (CSC)
2017
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208410 |