本文選題：立體視頻　切入點：自適應(yīng)運(yùn)動估計　出處：《哈爾濱工業(yè)大學(xué)》2010年碩士論文

【摘要】： 視頻的立體顯示是今后信息的重要表現(xiàn)形式之一。立體視頻技術(shù)的發(fā)展將帶來視頻領(lǐng)域的下一次革命。與平面視頻相比,立體視頻顯示層次分明,給人強(qiáng)烈的視覺沖擊,留下深刻的印象;除了更高的視頻質(zhì)量外,立體視頻給觀眾帶來身臨其境的感覺,也是其越來越受到青睞的原因。正因為立體視頻具有平面圖像和視頻所不具備的特點,所以在諸如電腦顯示、電視、測量、三維醫(yī)學(xué)圖像重建、虛擬現(xiàn)實、計算機(jī)動畫、廣告?zhèn)髅�、電子游戲等領(lǐng)域具有廣闊的應(yīng)用前景。但是利用特殊設(shè)計的攝像機(jī)直接產(chǎn)生立體視頻的方法,費(fèi)用是非常高昂的。 將平面視頻轉(zhuǎn)換為立體視頻的技術(shù)無疑是一種既經(jīng)濟(jì)又便捷的技術(shù)。因此,本文利用雙目視覺原理,深入地對平面視頻立體化的相關(guān)技術(shù)進(jìn)行了研究。本文設(shè)計了平面視頻-立體視頻轉(zhuǎn)換系統(tǒng)的結(jié)構(gòu)。系統(tǒng)首先對平面視頻序列進(jìn)行運(yùn)動估計,再從運(yùn)動矢量中獲取深度信息,這其中引入了互信息量這一概念,提出了適用于深度信息提取的自適應(yīng)運(yùn)動估計算法。此算法在降低運(yùn)動估計運(yùn)算復(fù)雜度的同時,還可以有效提高深度圖的質(zhì)量。接著利用深度信息與雙眼視差之間的關(guān)系,計算出雙眼視差,進(jìn)而得到左、右眼視圖。合成后即獲得了具有立體感覺的三維視頻圖像。 總的來說,平面視頻-立體視頻的轉(zhuǎn)換技術(shù)是一個全新的領(lǐng)域,同時也是一個較難的研究課題。通過本文的研究,提出了一套可以實現(xiàn)平面視頻立體化的轉(zhuǎn)換系統(tǒng),并將整個系統(tǒng)在軟件平臺上加以實現(xiàn),目前雖然系統(tǒng)的性能尚有許多有待改進(jìn)之處,但基本已能得到較為令人滿意的具有立體感覺的視頻效果。 軟件系統(tǒng)設(shè)計實現(xiàn)之后,將來要把整個系統(tǒng)移植到硬件平臺上,使其具有實際應(yīng)用價值,能夠在立體視頻相關(guān)的應(yīng)用領(lǐng)域方面發(fā)揮應(yīng)有的巨大潛在價值。
[Abstract]:Stereo display of video is one of the important forms of information in the future. The development of stereoscopic video technology will bring the next revolution in the field of video. Impressed; in addition to higher video quality, stereoscopic video gives viewers a sense of reality, which is why it is becoming more and more popular. It is precisely because stereoscopic video has features that plane images and videos do not. So in things like computer display, television, measurement, 3D medical image reconstruction, virtual reality, computer animation, advertising media, Video games and other fields have a broad application prospects, but the use of specially designed cameras to directly generate stereo video, the cost is very high. The technology of converting plane video to stereoscopic video is undoubtedly an economical and convenient technology. In this paper, the structure of plane video-stereo video conversion system is designed. Firstly, the motion estimation of plane video sequence is carried out, and then the depth information is obtained from motion vector. In this paper, the concept of mutual information is introduced, and an adaptive motion estimation algorithm for depth information extraction is proposed, which not only reduces the computational complexity of motion estimation, but also reduces the computational complexity of motion estimation. The relationship between depth information and binocular parallax is used to calculate the binocular parallax, and then the left and right eye views are obtained. After synthesis, three-dimensional video images with stereosensory are obtained. In general, the conversion technology of plane video to stereo video is a new field, and it is also a difficult research topic. Through the research of this paper, a set of conversion system is proposed, which can realize the three-dimensional conversion of plane video. The whole system is implemented on the software platform. Although the performance of the system still needs to be improved, it can get satisfactory video effect with stereosensory. After the software system is designed and implemented, it is necessary to transplant the whole system to the hardware platform in the future, so that it has practical application value and can play a great potential value in the application field of stereoscopic video.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2010
【分類號】：TP391.41

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