發(fā)布時間：2018-10-12 14:58

【摘要】：近年來,隨著眾多優(yōu)秀3D電影的放映,三維顯示技術(shù)越來越受到人們的關(guān)注,作為受眾群體最多的電視技術(shù)也開始邁入三維電視技術(shù)的新紀(jì)元。三維電視相較于傳統(tǒng)的二維電視能夠更加逼真地顯示場景,可以實現(xiàn)多角度自由觀看,使觀眾在觀看電視節(jié)目時能夠產(chǎn)生身臨其境的感覺,在娛樂,廣告,藝術(shù)等眾多領(lǐng)域都有很好的應(yīng)用。三維電視技術(shù)是目前研究的熱點,國內(nèi)外很多科研機構(gòu)都在進(jìn)行相關(guān)的研究工作。 本論文介紹了三維電視的國內(nèi)外發(fā)展以及現(xiàn)狀,對三維顯示技術(shù)的發(fā)展以及目前三維電視標(biāo)準(zhǔn)進(jìn)行了介紹,并對三維電視系統(tǒng)中的節(jié)目源制作、編碼技術(shù)以及三維顯示等關(guān)鍵技術(shù)進(jìn)行了論述。鑒于三維電視系統(tǒng)中要傳輸多個視點的視頻信息,為了節(jié)省帶寬,一般采用“視頻信息+深度信息”的編碼傳輸方式,在后端采用DIBR(基于深度圖的繪制)技術(shù)恢復(fù)視頻信息。深度圖的獲取是三維電視系統(tǒng)的關(guān)鍵技術(shù),是國內(nèi)外的研究熱點。深度圖可以通過深度攝像機直接獲取,也可以通過立體匹配算法獲得。由于深度攝像機造價昂貴且精度不高,我們重點研究立體匹配算法。 視差和深度存在一定的幾何關(guān)系,通過立體匹配算法我們可以得到視差圖,在已知攝像機參數(shù)下就能計算出深度圖。按照生成深度圖的不同,立體匹配算法可以分為稀疏深度圖提取算法和稠密深度圖提取算法。因為三維電視系統(tǒng)后期要采用DIBR技術(shù),只能采用稠密深度圖生成算法,包括區(qū)域匹配算法以及全局匹配算法。因為三維電視系統(tǒng)對深度圖的要求較高,本文提出了一種基于分割的快速而精確的立體匹配算法。通過利用均值漂移算法對圖像進(jìn)行分割,可以很好的對圖像進(jìn)行分割；然后通過區(qū)域匹配算法快速獲得初始視差；然后進(jìn)行視差分配,將初始視差分配到各個分割區(qū)域；最后進(jìn)行優(yōu)化。通過實驗,我們可以看出這個算法精度以及實時性都不錯。
[Abstract]:In recent years, with the screening of many excellent 3D movies, 3D display technology has been paid more and more attention. As the largest audience, the TV technology has entered a new era of 3D TV technology. Compared with the traditional two-dimensional television, 3D TV can display scenes more vividly, can realize multi-angle free viewing, make viewers feel like they are on the spot while watching TV programs, in entertainment, advertising, Art and many other fields have good applications. Three-dimensional television technology is the focus of current research, many research institutions at home and abroad are carrying out related research work. This paper introduces the development and present situation of 3D TV at home and abroad, introduces the development of 3D display technology and the current standard of 3D TV, and makes the program source in 3D TV system. The key technologies such as coding and three-dimensional display are discussed. In view of the need to transmit video information from multiple viewpoints in a 3D television system, in order to save bandwidth, the coding mode of "depth information of video information" is generally adopted, and the technology of DIBR (drawing based on depth map) is used to restore video information at the back end. The acquisition of depth map is the key technology of three-dimensional television system, and it is the research hotspot at home and abroad. The depth map can be obtained directly by depth camera or by stereo matching algorithm. Due to the high cost and low precision of depth camera, we focus on stereo matching algorithm. There is a certain geometric relationship between parallax and depth. The disparity map can be obtained by stereo matching algorithm, and the depth map can be calculated under known camera parameters. According to the difference of generating depth map, stereo matching algorithm can be divided into sparse depth map extraction algorithm and dense depth map extraction algorithm. Because DIBR technology is adopted in the later stage of 3D TV system, dense depth map generation algorithm, including region matching algorithm and global matching algorithm, can only be used. In this paper, a fast and accurate stereo matching algorithm based on segmentation is proposed because of the high requirement of depth map in 3D TV system. By using the mean shift algorithm to segment the image, the image can be segmented well; then, the initial parallax can be obtained quickly by the region matching algorithm; then, the parallax is allocated to each segmentation region. Finally, the optimization is carried out. Through experiments, we can see that the algorithm accuracy and real-time are good.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TP391.41

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相關(guān)期刊論文 前2條

1 呂朝輝;董躍;;立體電視研究現(xiàn)狀與展望[J];電視技術(shù);2006年08期

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本文編號：2266567