A Time-Critical Adaptive Approach for Visualizing Natural Scenes on Different Devices Time-Critical Adaptive Approach for Visualizing Natural Scenes
Tianyang Dong, Siyuan Liu, Jiajia Xia, Jing Fan, Ling Zhang, Rongrong Ji
Abstract
'Rongrong Ji'] To automatically adapt to various hardware and software environments on different devices, this paper presents a time-critical adaptive approach for visualizing natural scenes. In this method, a simplified expression of a tree model is used for different devices. The best rendering scheme is intelligently selected to generate a particular scene by estimating the rendering time of trees based on their visual importance. Therefore, this approach can ensure the reality of natural scenes while maintaining a constant frame rate for their interactive display. To verify its effectiveness and flexibility, this method is applied in different devices, such as a desktop computer, laptop, iPad and smart phone. Applications show that the method proposed in this paper can not only adapt to devices with different computing abilities and system resources very well but can also achieve rather good visual realism and a constant frame rate for natural scenes.

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