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研究生:許峯碩
研究生(外文):Feng-Shuo Shiu
論文名稱:有關RGB-D影像之立體影像生成方法
論文名稱(外文):Stereoscopic Image Generation from RGB-D Images
指導教授:杜維昌杜維昌引用關係
指導教授(外文):Wei-Chang Du
學位類別:碩士
校院名稱:義守大學
系所名稱:資訊工程學系
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:2017
畢業學年度:105
語文別:中文
論文頁數:40
中文關鍵詞:RGB-D感測裝置空洞填補影像修補深度繪圖法立體影像
外文關鍵詞:RGB-D sensing deviceholes fillingimage inpaintingDIBRstereoscopic image
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傳統的立體影像生成經常使用多台彩色攝影機拍攝而成,隨著各式各樣深度擷取設備的上市,使用彩色與深度影像成為立體影像生成的另一途徑。在生成過程中,容易因視點遮蔽或反射材質等問題而產生空洞。本研究以RGB-D攝影機取得彩色與深度影像為基礎,探討生成立體影像之技術並對空洞進行填補。首先深度影像經過前處理後,將深度影像與彩色影像採用深度繪圖法,分別生成左右眼影像。接著,將左右眼影像運用改良後的修補方法修復空洞,並利用頭戴顯示器觀看修補後的左右眼影像,以驗證其立體成效。
Traditional stereoscopic images are generated using multiple color-cameras. With the popularity of depth capture devices, it becomes a possible way to generate stereoscopic images by use of color and depth images. During the generating process, holes are created because of visual occlusion or reflective material. Based on color and depth images from RGB-D camera, this study explores the technology of generating stereoscopic images and filling the holes. First, use the DIBR algorithm to generate the left-eye and right-eye images respectively, and then propose an improved inpainting method to fill the hole. To verify the actual effect of stereoscopic images, the head-mounted display is used to view the inpainted stereoscopic images.
第一章 簡介 1
1.1研究背景 1
1.2研究動機與目的 2
第二章 文獻探討 3
2.1 Kinect體感裝置 3
2.2三維立體影像顯示 6
2.2.1眼鏡式立體顯示器 7
2.2.2裸眼式立體顯示器 8
2.3影像修補 10
2.4立體影像修補 11
2.4.1基於圖像金字塔之修補方法 11
2.4.2快速行進演算法 12
2.4.3水平內插法 12
2.4.4深度影像平滑化 12
2.5深度繪圖法 13
第三章 研究方法 14
3.1前處理 14
3.2三維影像形變 16
3.3空洞填補 18
第四章 實驗結果 21
4.1實驗一 21
4.2實驗二 23
4.2實驗三 25
第五章 結論與未來工作 28
參考文獻 29
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