本文選題：Mean + Shift��； 參考：《東北大學(xué)》2011年碩士論文

【摘要】：隨著計(jì)算機(jī)立體圖像技術(shù)的迅速發(fā)展,3D信息技術(shù)正在革命性地影響和改變著人們的溝通與工作方式,并廣泛應(yīng)用于教育、醫(yī)療、交通、展覽、展示、電影等諸多行業(yè)領(lǐng)域,其產(chǎn)品也越來(lái)越受到人們的青睞。因此立體圖像的合成技術(shù)對(duì)提高3D信息技術(shù)具有重要的研究意義和應(yīng)用價(jià)值。傳統(tǒng)DIBR算法雖然可以快速生成虛擬視角圖像,但是由于自然場(chǎng)景中不同物體的景深通常是不一樣的,所以虛擬視角圖像中會(huì)出現(xiàn)大范圍的空洞區(qū)域和不連續(xù)區(qū)域,導(dǎo)致虛擬視角圖像質(zhì)量下降,最終影響立體圖像的效果。因此,本文針對(duì)如何有效地解決虛擬圖像中存在的空洞問(wèn)題和不連續(xù)問(wèn)題量,以及立體圖像合成方法進(jìn)行了研究。本文在閱讀大量參考文獻(xiàn)的同時(shí),對(duì)DIBR(Depth Image Based Rendering)算法進(jìn)行了研究,并結(jié)合多種圖像處理算法來(lái)進(jìn)行立體圖像的合成,解決了基于傳統(tǒng)方法建立的立體圖像效果不明顯的問(wèn)題。本文利用Mean Shift圖像分割算法將圖像中的各個(gè)區(qū)域分割出來(lái),為下一步獲取深度圖奠定了必要的基礎(chǔ)。本文在研究傳統(tǒng)的光流計(jì)算方法的基礎(chǔ)上,提出了基于塊光流計(jì)算的方法提高速度和獲得不同區(qū)域的光流的新方法,通過(guò)比較各區(qū)域光流的大小來(lái)判斷其遠(yuǎn)近關(guān)系,然后分別為各個(gè)區(qū)域賦予深度值來(lái)得到深度圖。由于傳統(tǒng)的DIBR算法在虛擬視角圖像中存在空洞和遮擋的問(wèn)題,導(dǎo)致信息的丟失和虛擬視角圖像的不連續(xù)而影響立體圖像的效果,因此本文先對(duì)深度圖像進(jìn)行高斯濾波預(yù)處理,消除深度圖像中的噪聲；然后將虛擬圖像擴(kuò)大到八個(gè)視角,減少了虛擬視角圖像中的空洞和不連續(xù)區(qū)域；進(jìn)一步利用圖像插值技術(shù)填補(bǔ)和消除虛擬視角圖像中的不連續(xù)區(qū)域。實(shí)驗(yàn)結(jié)果表明,利用本文方法得到的立體圖像的視覺(jué)效果比較理想。
[Abstract]:With the rapid development of computer stereo image technology, 3D information technology is revolutionizing and changing the way people communicate and work, and is widely used in education, medical treatment, transportation, exhibition, film and many other industries. Its product also receives people's favor more and more. Therefore, stereo image synthesis technology has important research significance and application value to improve 3D information technology. Although the traditional DIBR algorithm can quickly generate the virtual view image, because the depth of field of different objects in the natural scene is usually different, there will be a wide range of void and discontinuous areas in the virtual view image. The result is that the quality of the virtual view image is decreased, and the effect of the stereo image is affected. Therefore, how to effectively solve the void problem and discontinuity problem in virtual image and the method of stereo image synthesis are studied in this paper. In this paper, while reading a lot of references, we have studied the DIBR(Depth Image Based Rendering) algorithm, and combined with various image processing algorithms to synthesize stereo images, which solves the problem that the effect of stereo images based on traditional methods is not obvious. In this paper, the Mean Shift image segmentation algorithm is used to segment each region of the image, which lays a necessary foundation for the next step to obtain the depth map. Based on the study of the traditional optical flow calculation method, a new method based on block optical flow calculation is proposed to improve the speed and obtain the optical flow in different regions. Then each region is given the depth value to get the depth map. Because the traditional DIBR algorithm has the problem of hollowness and occlusion in the virtual view image, which leads to the loss of information and the discontinuity of the virtual view image, so the depth image is preprocessed by Gao Si filter. The noise in the depth image is eliminated; then the virtual image is expanded to eight angles to reduce the void and discontinuous region in the virtual view image; the image interpolation technique is further used to fill and eliminate the discontinuous region in the virtual view image. The experimental results show that the visual effect of the stereo image obtained by this method is ideal.
【學(xué)位授予單位】：東北大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2011
【分類(lèi)號(hào)】：TP391.41

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本文編號(hào)：1875802