Title :
Multi-Attribute Complex Scene Rendering with State Clustering and Data Fusion
Author :
AiMin, Liang ; Zhuo, Yu
Author_Institution :
Beihang Univ., Beijing
Abstract :
The paper presents a novel rendering method with state clustering and data fusion. It is mainly used to solve the bottleneck in complex scene of real-time rendering. The method improves the application performance through removing the objects outside the view frustum and the occluded objects, it minimizes the number of state changes at the same time. Despite its simplicity, the experiments show the algorithm achieves good efficiency for high depth and multi- attribute complex scene.
Keywords :
image fusion; pattern clustering; rendering (computer graphics); data fusion; multiattribute complex scene rendering; occluded objects; real-time rendering; state clustering; view frustum; Acceleration; Computer graphics; Engines; Hardware; Large-scale systems; Layout; Power system modeling; Rendering (computer graphics); Switches; Virtual reality;
Conference_Titel :
Digital Media and its Application in Museum & Heritages, Second Workshop on
Conference_Location :
Chongqing
Print_ISBN :
0-7695-3065-6
DOI :
10.1109/DMAMH.2007.20