發(fā)布時間：2018-10-12 08:18

【摘要】：虛擬場景正越來越多地被用于游戲娛樂、軍事訓(xùn)練、廣告與電影制作、旅游等各個領(lǐng)域。目前虛擬場景構(gòu)建主要有兩種方法,一種是通過三維建模技術(shù)來渲染生成,但是由于技術(shù)的限制,該方法暫時存在構(gòu)建代價高、所需時間長,以及生成的虛擬場景不夠真實等缺點；另一種是基于視頻的虛擬場景構(gòu)建,該方法具有素材豐富、細節(jié)真實等優(yōu)點,但同時也存在處理困難等缺點。為了方便地利用已有視頻素材來生成虛擬場景,我們需要一個高效的基于視頻素材的虛擬場景生成系統(tǒng)。 首先,本文分析了基于視頻素材的虛擬場景構(gòu)建系統(tǒng)所需的各項基本功能,并給出了各功能模塊的設(shè)計。其中,為了高效地管理大量視頻數(shù)據(jù)所需的視頻素材管理系統(tǒng),我們采用了一個層次化的視頻數(shù)據(jù)關(guān)系模型,基于該模型以及視頻切分、視頻自動分類、視頻對象提取技術(shù),構(gòu)建了我們的視頻數(shù)據(jù)庫,它能有效地管理視頻素材,并支持視頻的快速檢索與瀏覽。本文還分析了系統(tǒng)各功能模塊之間的接口及系統(tǒng)整合設(shè)計方案。 其次,為了高效地生成虛擬場景,本文提出了視頻融合過程中的前景對象編輯方法,包括調(diào)整對象的大小、旋轉(zhuǎn)角度以及運動路徑等參數(shù),其中我們重點研究了怎樣繪制對象的運動路徑,從而能使得對象的運動與背景場景相融洽。 接著,為了使得生成的虛擬場景更具有真實感,我們研究了對象視頻存在抖動現(xiàn)象時會對視頻融合產(chǎn)生的影響,并提出一個基于對象alpha視頻輪廓曲線特征匹配的視頻去抖動方法來消除對象視頻的抖動,能得到比較好的去抖動效果。 最后,本文給出了基于視頻素材的虛擬場景生成系統(tǒng)實現(xiàn),展示了其核心模塊。該系統(tǒng)能夠有效地管理視頻數(shù)據(jù),并能夠方便地進行視頻對象編輯與融合,生成虛擬場景視頻。
[Abstract]:Virtual scenes are increasingly being used in games and entertainment, military training, advertising and film production, travel and other fields. At present, there are two main methods for virtual scene construction, one is rendering generation by 3D modeling technology, but because of the limitation of technology, this method temporarily has high construction cost and takes a long time. The other is the construction of virtual scene based on video, which has the advantages of rich material, real details and so on, but it also has some disadvantages such as difficulty in processing and so on. In order to make use of the existing video material to generate virtual scene conveniently, we need an efficient virtual scene generation system based on video material. Firstly, the basic functions of the virtual scene building system based on video material are analyzed, and the design of each function module is given. In order to efficiently manage the large amount of video data, we adopt a hierarchical video data relationship model, based on this model and video segmentation, video automatic classification, video object extraction technology. Our video database is constructed, which can effectively manage video material and support fast video retrieval and browsing. This paper also analyzes the interface between the various functional modules and the system integration design. Secondly, in order to generate virtual scene efficiently, this paper proposes a method for editing foreground objects in the process of video fusion, including adjusting object size, rotation angle and motion path, etc. We focus on how to draw the object's motion path so that the object's motion and background scene can be harmonious. Then, in order to make the generated virtual scene more realistic, we study the effect of the object video jitter on video fusion. A video dejitter method based on object alpha video contour curve feature matching is proposed to eliminate the jitter of object video. Finally, this paper presents the implementation of virtual scene generation system based on video material, and shows its core module. The system can manage video data effectively, edit and fuse video objects conveniently, and generate virtual scene video.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2011
【分類號】：TP391.41

【參考文獻】

相關(guān)期刊論文 前4條

1 黃誠;王國營;;一種基于顏色聚合向量的圖像檢索方法[J];計算機工程;2006年02期

2 林生佑,石教英;基于感知顏色空間的自然圖像摳圖[J];計算機輔助設(shè)計與圖形學(xué)學(xué)報;2005年05期

3 林生佑;潘瑞芳;杜輝;石教英;;數(shù)字摳圖技術(shù)綜述[J];計算機輔助設(shè)計與圖形學(xué)學(xué)報;2007年04期

4 宋利,周源華,周軍;基于運動矢量的視頻去抖動算法[J];上海交通大學(xué)學(xué)報;2004年S1期

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本文編號：2265437