一般而言當我們談論到多層次解析度的技巧時,會聯想到它有提升系統去克服在時間、空間方面所遭遇限制的能力,而關於這方面的許多技巧已經被研究和發表出來,但是主要都是針對在靜態的物體。對靜態的物體而言,靠著簡化的動作和不同的解析度要求,就可以得到不同解析度的結果,之後應用這些簡化的結果,而依據模型和眼睛之間距離的遠近關係,決定要使用那一層次的解析度,假如距離近的時侯,就使用較高的解析度來呈現,假如距離遠的時侯,就使用較低的解析度來呈現,這就是多層次解析度的技巧主要含義。 假設網狀物體是隨時間而改變,對系統而言使用多層次解析度的技巧會有困難度,因此在論文裡我們提出一個新的解決方法。此方法是先利用統計的方式把隨著時間變化的網狀物體區分成高變化量和低變化量兩個部分,再個別對這兩部分做處理,最後再把這兩部分已經處理完的資料合併起來,而達到以多層次解析度技巧呈現動態模型的效果。
Generality, when we mention the techniques of level of details always associate with that it can enhance the ability of graphics and visual systems to overcome limitations on time and space . Numerous techniques which concentrate on creating level of detail models for static meshes have been presented The different resolutions are created by using simplification and required thresholds. Thus , depends on the different distances, using different resolution to represent. Time-dependent deformable meshes impose even greater difficulties on such systems. In this paper we describe a solution for using level of details for time dependent meshes. First ,using the method of statistics separate time-dependent deformable meshes to become low and high deformable parts . and individually process low deformable part and high deformable part . Last,combine these information of two parts to complete dynamic models with level of details.