【摘要】： 隨著計算機(jī)圖形學(xué)與虛擬現(xiàn)實(shí)技術(shù)的發(fā)展,計算機(jī)動畫的創(chuàng)作備受關(guān)注,作為計算機(jī)動畫中的熱點(diǎn)問題,群體動畫在多個技術(shù)領(lǐng)域中得到了廣泛應(yīng)用,如建筑規(guī)劃、數(shù)字化展示、影視動漫、電腦游戲等行業(yè)。從當(dāng)前研究的情況來看,群體動畫技術(shù)存在著比較突出的問題:一是目前采用的群體太過單一,基本上都是由一個或幾個模板變換而來的,這樣的群體過于單一,沒有真實(shí)的人群的感覺,二是以當(dāng)前的計算機(jī)硬件水平來說,要實(shí)現(xiàn)個體數(shù)量眾多的群體動畫仿真建模,使用直接繪制的方法很難達(dá)到實(shí)時性的要求。這些問題促使人們更加重視對群體動畫建模技術(shù)的研究。 本文在收集并分析群體行為常用建模方法基礎(chǔ)上,所做主要工作如下: (1)建立了幾種群體動畫行為仿真的關(guān)鍵模型 本文中群體行為建模的關(guān)鍵算法,包括感知模型的建模、決策模型的建模、行為規(guī)劃模型的建模,對它們進(jìn)行分析介紹之后,進(jìn)行了實(shí)驗(yàn),并分析了其優(yōu)缺點(diǎn)。其中的感知模型分為靜態(tài)環(huán)境和動態(tài)環(huán)境兩種感知模型,決策模型的建模中,采用有限狀態(tài)機(jī)來建立。 (2)提出了對基于勢能場的群體行為建模技術(shù)的改進(jìn)方法 該方法以連續(xù)動力學(xué)為基礎(chǔ),把空間劃分為均勻的網(wǎng)格,使全局導(dǎo)航和局部碰撞避免整合到一個框架中,組成一個動態(tài)勢能場,作為人群前進(jìn)的驅(qū)動力,而當(dāng)人群分布不均勻,有些網(wǎng)格不需要參與運(yùn)算時,引入了靜態(tài)勢能場。這種方法能夠減少所有網(wǎng)格都參與計算時的計算量,提高系統(tǒng)的效率。 (3)研究了群體行為一致性問題 主要介紹了受多個領(lǐng)域的研究人員關(guān)注的群體行為一致性問題方面的知識介紹了5種情況下群體行為一致性的條件和相應(yīng)的數(shù)學(xué)表示方法和各自取得的成就,在這些成果的基礎(chǔ)上對群體行為一致性的應(yīng)用領(lǐng)域做了展望。
[Abstract]:With the development of computer graphics and virtual reality technology, the creation of computer animation has attracted much attention. As a hot issue in computer animation, group animation has been widely used in many technical fields, such as architectural planning. Digital display, film and television animation, computer games and other industries. From the current research situation, the group animation technology has a more prominent problem: first, the current group is too single, basically from one or more template transformation, such a group is too single, There is no real crowd feeling. Second, in the current level of computer hardware, it is very difficult to use direct rendering method to achieve the real-time requirements in order to realize the simulation modeling of group animation with a large number of individuals. These problems make people pay more attention to the research of group animation modeling technology. On the basis of collecting and analyzing the commonly used modeling methods of group behavior, the main work is as follows: (1) several key models of group animation behavior simulation are established in this paper, and the key algorithms of group behavior modeling are presented in this paper. It includes the modeling of perceptual model, the modeling of decision model and the modeling of behavior planning model. After analyzing and introducing them, the experiments are carried out, and the advantages and disadvantages of these models are analyzed. The perceptual model is divided into two perceptual models: static environment and dynamic environment. In the modeling of decision-making model, finite state machine is used to build the model. (2) an improved method for modeling population behavior based on potential field is proposed. Based on the continuous dynamics, the space is divided into uniform meshes, so that global navigation and local collision can be avoided in a single framework. A dynamic potential field is formed as the driving force for the advance of the population. When the distribution of the population is not uniform and some grids do not need to participate in the calculation, the static potential field is introduced. This method can reduce the computational complexity of all grids and improve the efficiency of the system. (3) this paper studies the problem of group behavior consistency, mainly introduces the knowledge of group behavior consistency problem concerned by researchers in many fields, and introduces the conditions of group behavior consistency in five cases. And corresponding mathematical representations and achievements, On the basis of these results, the application fields of group behavior consistency are prospected.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2010
【分類號】：TP391.41

【引證文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 劉立棟;監(jiān)控視頻中大規(guī)模群體系統(tǒng)模型的研究[D];哈爾濱理工大學(xué);2012年

，

本文編號：2466627