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研究生:李佩玨
研究生(外文):Pei-Chueh Lee
論文名稱:基於左右眼影像之多視點立體影像生成技術
論文名稱(外文):Multi-view Stereoscopic Image Generation Based on DIBR with Stereo Image Pair
指導教授:陳偉銘陳偉銘引用關係
指導教授(外文):Wei-Ming Chen
口試委員:陳偉銘黃德成沈偉誌康立威
口試委員(外文):Wei-Ming ChenDer-Chen HuangWei-Chih ShenLi-Wei Kang
口試日期:2014-07-24
學位類別:碩士
校院名稱:國立宜蘭大學
系所名稱:資訊工程學系碩士班
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2014
畢業學年度:102
語文別:中文
論文頁數:38
中文關鍵詞:DIBR裸眼光柵顯示器左右眼立體影像深度圖多視角影像
外文關鍵詞:DIBRAutostereoscopicSide by side-imageDepth mapMulti-view image
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  • 被引用被引用:1
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隨著時代演變,在好萊塢的推波助瀾下,3D立體顯示為近幾年來的熱門議題。傳統立體顯示技術為戴眼鏡形式,容易造成觀看者上的不便,因此裸眼3D顯示便孕育而生,除了克服戴眼鏡上的不適感外,對於立體影像的效果與逼真度皆是比傳統立體顯示器要來得好。相較於傳統立體左右顯示技術,裸眼3D顯示器則需有更多的視角 才能達到較更佳的立體效果。由於製作多視角影像的拍攝成本相當高,且製作技術門檻高。因此採用軟體模擬的方式來產生多視角,較能容易製作及符合經濟效益。 Depth-Image-Based Rendering(DIBR)即是目前主流的多視角影像演算法。然而,DIBR演算法,是使用單張影像及其深度圖以進行像素位移方式來計算出其他視角的影像,位移過程中很容易產生視覺破洞。其主因為,原視角的影像一些看不見的區域於其他視角影像變成可視時,將造成該區域無資訊可提供填入,因而形成破洞。此視覺破洞填補演算法的好壞將是影響立體顯示品質的關鍵因素。
現今,立體攝影設備普及化之後,左右眼立體影像的取得非常容易。透過左右眼立體影像的運用,將可大幅增加破洞填補的資訊,減少破洞填補錯誤的情形。本論文即是以此概念,提出改良DIBR的填補方法。本研究利用左右眼影像的資訊找出前後景間的位置及可能發生破洞區域,並在產生虛擬視角後針對破洞依距離比率概念找尋出對應至左眼或右眼可能的位置,最後透過既有的資訊進行填補。根據本論文之實驗結果應用於裸眼立體顯示結果,確實比一般傳統填補方法而得到更準確的破洞填補結果及更好的立體顯示效果。

With the change of time, 3D stereo display is popular issue in recent years, which promote by Hollywood. Traditional stereo display technique is Wearing glasses , but it make inconvenient for viewer. So autostereoscopy display be born. Besides it overcome the uncomfortable of wearing glasses, the effect of stereo image and similarity are better than traditional stereo displayer. Comparing traditional stereo display technique, autostereoscopy displayer need Multi-view image to make better effect of stereoscopy. Because it have high cost and high technical barriers to make Multi-view image, Using software simulation making Multi-view image is easier and more economic. Depth-Image-based Rendering(DIBR) is Major Multi-view image algorithms. It is that using single image and depth map to shift pixel and then computing other view image. However, it easily make visually disoccluded regions in shifting process. It is because there have no information to fill disoccluded regions which cause by some area can't be saw by original view but it can be saw by other view. The visual hole filling algorithms is the key factor that cause the effect of stereo display.

Now, after the stereo equipment popularity, getting side by side-image is very easy. Using side by side-image can increase lot of information for disoccluded regions filling and reduce the error filling to disoccluded regions. By above concept, this paper propose an improved padding method for DIBR. Our research using side by side-image to define the boundary of foreground and background, and find disoccluded regions. After producing virtual view image, finding the correspondence position of left eye view or right eye view by using percentage concept to compute the disoccluded regions. Finally using having information to pad. According the experimental results apply to autostereoscopy display, it is more accurate to hole filling and get better effect of stereo display than traditional padding method.

摘要 I
Abstract II
致謝 III
圖目錄 V
表目錄 IX
第一章 緒論 1
1.1 研究動機與目的 1
1.2 系統架構 3
1.3 研究特色與貢獻 4
1.4 論文架構 4
第二章 相關研究 5
2.1 立體顯示原理 5
2.2 立體顯示技術介紹 6
2.3 多視角(Multi-view)影像 10
2.4 深度影像繪圖法(Depth-Image-Based Rendering,DIBR) 介紹 13
2.5 前處理深度圖(Pre-Processing of Depth Image) 15
2.6 基於樣本塊影像修補方法 16
2.7 線性插值法(Linear Interpolation) 18
第三章 立體圖像合成 19
3.1 針對深度影像進行前處理(Pre-Processing of Depth Image) 19
3.2 對多視角影像進行低通濾波(Multi-View Low-pass Filter) 20
3.3 填補破洞(Hole Filling) 21
第四章 實驗結果 27
第五章 結論與未來發展 36
參考文獻 37

[1]Christoph fehn,” A 3D-TV APPROACH USING DEPTH-IMAGE-BASED RENDERING (DIBR)”, Visualization, Imaging, and Image Processing, pp. 1-6, 2003.
[2]Shen-Fu Hsiao; Jin-Wen Cheng; Wen-Ling Wang; Guan-Fu Yeh, "Low latency design of Depth-Image-Based Rendering using hybrid warping and hole-filling," Circuits and Systems (ISCAS) IEEE International Symposium on , vol., no., pp.608,611, 2012.
[3]C.Fehn,”Depth-image-based Rendering(DIBR), compression, and transmission for a new approach on 3D-TV”, in Stereoscopic Displays and Virtual Reality Systems XI, pp.93,104, 2004.
[4]Liu Zhan-wei; An Ping; Liu Su-xing; Zhang Zhao-yang, "Arbitrary view generation based on DIBR," Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on , vol., no., pp.168,171, 2007.
[5]Takanori Okoshi,”Three-Dimensional Imaging Techniques”,1976.
[6]Zhang, L.; Wa James Tam, "Stereoscopic image generation based on depth images for 3D TV," Broadcasting, IEEE Transactions on , vol.51, no.2 , pp.191,199, 2005.
[7]Scharstein, D.; Szeliski, R., "High-accuracy stereo depth maps using structured light," Computer Vision and Pattern Recognition, 2003. Proceedings. IEEE Computer Society Conference on , vol.1, no., pp.I-195,I-202 vol.1, 2003.
[8]Criminisi, Antonio; Perez, P.; Toyama, K., "Region filling and object removal by exemplar-based image inpainting," Image Processing, IEEE Transactions on, vol.13, no.9, pp.1200,1212, 2004.
[9]Kwan-Jung Oh; Sehoon Yea; Yo-Sung Ho, "Hole filling method using depth based in-painting for view synthesis in free viewpoint television and 3-D video," Picture Coding Symposium, 2009. PCS 2009 , vol., no., pp.1,4, 2009.
[10]Wan-Yu Chen; Chang, Yu-Lin; Shyh-Feng Lin; Li-Fu Ding; Liang-Gee Chen, "Efficient Depth Image Based Rendering with Edge Dependent Depth Filter and Interpolation," Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on , vol., no., pp.1314,1317, 2005.
[11]MSR 3D Video Download, Breakdancing and Ballet Sequences. [Online] http://research.microsoft.com/en-us/um/people/sbkang/3dvideodownload/
[12]2001 Stereo datasets with ground truth,Tsukuba and Cones.[Online] http://vision.middlebury.edu/stereo/

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