{"title":"通过修改受控地形生成方法生成山脉","authors":"K. R. Kamal, M. Kaykobad","doi":"10.1109/ICCITECHN.2008.4803058","DOIUrl":null,"url":null,"abstract":"The terrain generation approach proposed in dasiaParametrically controlled terrain generation, (Proceedings of GRAPHITE 2007)psila focuses on generation of terrains having mountains of prespecified heights and spreads of base regions and peaks nearly at prespecified locations. However, inability to produce mountain ranges is a shortcoming of the algorithm. In this paper, we present a modification to the original algorithm that will enable generation of whole mountain ranges while preserving the similar parametric control over the resulting terrain. Experimental results of our algorithm have also been compared with results of existing algorithms.","PeriodicalId":335795,"journal":{"name":"2008 11th International Conference on Computer and Information Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Generation of mountain ranges by modifying a controlled terrain generation approach\",\"authors\":\"K. R. Kamal, M. Kaykobad\",\"doi\":\"10.1109/ICCITECHN.2008.4803058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The terrain generation approach proposed in dasiaParametrically controlled terrain generation, (Proceedings of GRAPHITE 2007)psila focuses on generation of terrains having mountains of prespecified heights and spreads of base regions and peaks nearly at prespecified locations. However, inability to produce mountain ranges is a shortcoming of the algorithm. In this paper, we present a modification to the original algorithm that will enable generation of whole mountain ranges while preserving the similar parametric control over the resulting terrain. Experimental results of our algorithm have also been compared with results of existing algorithms.\",\"PeriodicalId\":335795,\"journal\":{\"name\":\"2008 11th International Conference on Computer and Information Technology\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 11th International Conference on Computer and Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCITECHN.2008.4803058\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 11th International Conference on Computer and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCITECHN.2008.4803058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
摘要
在dasiarameical controlled terrain generation (Proceedings of GRAPHITE 2007)中提出的地形生成方法侧重于生成具有预定高度的山脉和接近预定位置的基底区域和山峰的地形。然而,无法生成山脉是该算法的一个缺点。在本文中,我们提出了对原始算法的修改,该算法将能够生成整个山脉,同时保留对所得地形的类似参数控制。并将本文算法的实验结果与现有算法的结果进行了比较。
Generation of mountain ranges by modifying a controlled terrain generation approach
The terrain generation approach proposed in dasiaParametrically controlled terrain generation, (Proceedings of GRAPHITE 2007)psila focuses on generation of terrains having mountains of prespecified heights and spreads of base regions and peaks nearly at prespecified locations. However, inability to produce mountain ranges is a shortcoming of the algorithm. In this paper, we present a modification to the original algorithm that will enable generation of whole mountain ranges while preserving the similar parametric control over the resulting terrain. Experimental results of our algorithm have also been compared with results of existing algorithms.