efficient search of lightcuts by spatial clustering
文献类型：会议论文
| 作者 | Wang Guangwei ; Xie Guofu ; Wang Wencheng |
| 出版日期 | 2011 |
| 会议名称 | SIGGRAPH Asia 2011 Sketches, SA'11 |
| 会议日期 | December 1 |
| 会议地点 | Hong Kong, China |
| 关键词 | Image resolution Interactive computer graphics |
| 页码 | - |
| 中文摘要 | Lightcuts is an efficient illumination method for scenes with many complex lights, by hierarchical clustering of lights in a light tree. However, when the light tree is large, it is very time-consuming to traverse in the tree to get the suitable clusters of lights for illumination computation. For this, some methods proposed to use image coherence for neighboring pixels to share clusters of lights, and so save traversal cost in the light tree. However, with the image resolutions reduced, fewer and fewer coherences could be used and so their acceleration efficiency will be reduced dramatically, and they may even decrease the rendering efficiency. This sketch proposes to exploit spatial coherences to enhance rendering by lightcuts. For the intersection points between rays and the scene, they are clustered on the fly and the points of a cluster search their respective suitable clusters of lights from a common set of clusters, called a common cut. In this way, the traversal cost from the tree root to the common cuts can be considerably saved for acceleration. Results show that our method can be faster than the methods using image coherence, and works stably with various image resolutions. And with the lights being more complex, our method can obtain more acceleration. |
| 英文摘要 | Lightcuts is an efficient illumination method for scenes with many complex lights, by hierarchical clustering of lights in a light tree. However, when the light tree is large, it is very time-consuming to traverse in the tree to get the suitable clusters of lights for illumination computation. For this, some methods proposed to use image coherence for neighboring pixels to share clusters of lights, and so save traversal cost in the light tree. However, with the image resolutions reduced, fewer and fewer coherences could be used and so their acceleration efficiency will be reduced dramatically, and they may even decrease the rendering efficiency. This sketch proposes to exploit spatial coherences to enhance rendering by lightcuts. For the intersection points between rays and the scene, they are clustered on the fly and the points of a cluster search their respective suitable clusters of lights from a common set of clusters, called a common cut. In this way, the traversal cost from the tree root to the common cuts can be considerably saved for acceleration. Results show that our method can be faster than the methods using image coherence, and works stably with various image resolutions. And with the lights being more complex, our method can obtain more acceleration. |
| 收录类别 | EI |
| 会议主办者 | ACM Spec. Interest Group Comput. Graph. Interact.; Tech. (SIGGRAPH); ACM Special Interest Group on Computer-Human; Interaction (SIGCHI) |
| 会议录 | SIGGRAPH Asia 2011 Sketches, SA'11
 |
| 语种 | 英语 |
| ISBN号 | 9781450311380 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16254]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Wang Guangwei,Xie Guofu,Wang Wencheng. efficient search of lightcuts by spatial clustering[C]. 见:SIGGRAPH Asia 2011 Sketches, SA'11. Hong Kong, China. December 1. |
入库方式： OAI收割
来源：软件研究所
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