跳到主要內容

臺灣博碩士論文加值系統

(44.200.86.95) 您好!臺灣時間:2024/05/30 02:03
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:廖玉清
研究生(外文):Yu-Ching Liao
論文名稱:動態視訊環景影像縫合
論文名稱(外文):Dynamic Image Stitching for Panoramic Video
指導教授:謝振榆謝振榆引用關係
學位類別:碩士
校院名稱:國立虎尾科技大學
系所名稱:光電與材料科技研究所
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:2012
畢業學年度:100
語文別:中文
論文頁數:80
中文關鍵詞:影像縫合環景影像圖像匹配SIFT演算法OpenCV
外文關鍵詞:Image stitchingPanoramic imageImage matchingSIFT algorithmOpenCV
相關次數:
  • 被引用被引用:8
  • 點閱點閱:2111
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:1
本篇論文中,設計並實現在個人電腦上的動態視訊環景影像縫合系統。此系統將被用於個人電腦上的即時環景視訊系統上。
一般傳統環景影像處理是利用影像中強烈的輪廓和邊緣,作為特徵點的擷取,但此方式相當容易受到角度的影響,所以本系統的基本概念是使OpenCV視覺函式庫且以SIFT(Scale Invariant Feature Transformation)尺度不變特徵轉換演算法為基礎來實現,針對動態影像合成的部分提出了DLSIFT演算法,是基於高斯差分圖DoG進行高斯二階差分DLoG做降階,藉此簡化高斯金字塔結構的演算法,並搭配重疊分割法簡化特徵點擷取範圍,以增進速度,藉此改善傳統影像合成所需要的大量運算時間。
本論文使用四顆一般Webcam與兩顆IPCAM視訊並搭配多顆廣角鏡頭使用,利用廣角鏡來監看廣範圍的場景,在使用影像接合來達到環景的效果,在整體圖形應用及控制介面的實現上,採用了Microsoft Visual studio C#來建構整個軟體介面。在2.4-GHz CPU及 2-GB RAM的個人電腦上且攝影機固定時,執行的速度每秒約兩張,降低了傳統SIFT演算法所需的運算時間。


In this paper, a system of real-time full view video meeting is designed and is available to PC. Usually, the traditional full view video system searches for the image of protrusive edges or contours and uses the color- cord to derive the recognition. However, this traditional way is easy to infect with lights, angles, and distances. Therefore, this concept of new system is basic on SIFT Algorithm and focus on the improvement of Dynamic Range image stitching. Then increase the efficiency of stitching, it improve the disadvantages of traditional way.
This system is collocated with wide-angle lens and four webcams. The effect of full view is using the image stitching. In whole software’s application of images and interface of control is using Microsoft Windows SDK and Microsoft Visual studio C#. The control in video camera is applied to VfW mode. It can enforce for three pictures/ second while the video camera is idle.


目錄
摘要 ......i
Abstract ......ii
致謝 ......iii
目錄 ......iv
表目錄 ......vii
圖目錄 ......viii
第一章 緒論 ......1
1.1 前言 ......1
1.1.1 硬體視訊會議 ......2
1.1.2 軟體視訊會議 ......2
1.1.3 網頁視訊會議 ......3
1.1.4 動態環景系統前提介紹 ......4
1.2 研究動機與目的 ......4
1.3 論文架構 ......4
1.4 硬體架構 ......5
1.4.1 個人電腦規格 ......5
1.4.2 不同視訊規格 ......5
1.4.3 廣角鏡頭規格 ......8
1.4.4 Soildworks支架機構設計 ......9
第二章 環景視訊動態影像縫合的相關知識與文獻探討 ......10
2.1 OpenCV簡介 ......10
2.2 靜態影像縫合文獻探討 ......13
2.2.1 環場影像製作方法 ......13
2.3 動態影像縫合文獻探討 ......19
第三章 靜態影像縫合...... 21
3.1前言 ......21
3.2實驗環境與設備 ......21
3.3 靜態影像縫合方法 ......23
3.3.1 影像特徵簡介 ......24
3.3.1.1 Moravec角點提取演算法 ......24
3.3.1.2 Harris角點提取演算法 ......26
3.3.2 SIFT演算法的特徵描述理論基礎 ......28
3.4 GUI介面流程 ......32
3.5 結果測試 ......33
第四章 動態環景影像縫合 ......37
4.1 前言 ......37
4.2 實驗環境與設備 ......37
4.2.1系統架構 ......37
4.2.2環景系統的目的與考量 ......39
4.3 GUI介面流程介紹 ............40
4.4動態影像縫合方法...... 40
4.4.1 DLSIFT ......41
4.4.1.1 建構DLoG ......41
4.4.1.2 特徵點描述與匹配 ......41
4.4.2重疊切割法 ......42
4.5 PSNR影像訊號雜訊比 ......44
4.6 主觀質量評定比 ......45
4.7 結果測試 ......45
4.7.1 SIFT時間測試 ......45
4.7.2 SIFT PSNR測試 ......48
4.7.3重疊分割法時間測試 ......49
4.7.3.1重疊遮罩為5的時間測試 ......49
4.7.3.2重疊遮罩為10的時間測試 ......53
4.7.3.3重疊遮罩為15的時間測試 ......55
4.7.4重疊分割法PSNR測試 ......57
4.7.4.1重疊遮罩為5的PSNR檢測 ......57
4.7.4.2重疊遮罩為10的PSNR檢測 ......58
4.7.4.3重疊遮罩為15的PSNR檢測 ......60
4.7.5降階特徵點與時間測試 ......62
4.7.6應用延伸製作動態環景影像縫合系統 ......67
第五章 結論與未來展望 ......69
5.1本論文特點 ......69
5.2結論 ......69
5.3未來展望 ......70
參考文獻 ......71
英文論文大綱 ......74
簡歷(CV) ......80




[1]R. Szeliski and H.-Y. Shum, 1997 “Creating full view panoramic image mosaics and texture-mapped models,”SIGGRAPH, pp. 251-258.
[2]H.-Y. Shum and R. Szeliski, 1998 “Construction and refinement of panoramic mosaics with global and local alignment,”ICCV, pp.953-58.
[3]S. Peleg, B. Rousso, A. Rav-Acha, and A. Zomet, 2000 “Mosaicing on adaptive manifolds,” PAMI, pp. 1141-54, October.
[4]B. Rousso, S. Peleg, I. Finci, and A. Rav-Acha, 1998 “Universal mosaicing with pipe projection,” ICCV, pp. 945-952.
[5]B. Rousso, S. Peleg, I. Finci, 1997 “Mosaicing with generalized strips,” DARPA Image Understanding Workshop, pp.255-260, May.
[6]S. Peleg and J. Herman, 1997 “Panoramic mosaics with VideoBrush,” DARPA Image Understanding Workshop, pp.261-264, May.
[7]S. Peleg and J. Herman, 1997 “Panoramic mosaics by manifold projection,” IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 338-343, June.
[8]S. Mann, C. Manders, and J. Fung, 2002 “Painting with Looks: Photographic images from video using quantimetric processing,” ACM Multimedia.
[9]H. Sawyhney and S. Ayer, 1997 “Compact representation of video through dominant and multiple motion estimation,”PAMI, pp. 814-830, August.
[10]Y. Xiong, K. Turkowski, 1997 “Creating image-based VR using a self-calibrating fisheye lens,” Proc. of IEEE computer Society Conference on Computer Vision and Pattern Recognition, pp. 237-243.
[11]S.K. Nayar, “Catadioptric omnidirectional camera, 1997” Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 482-488.
[12]J.Meehan. Panoramic Photography. Watson-Guptill,1990.
[13]S.E. Chen and G.S.P. Miller, 1995 “Cylindrical to Planar Image Mapping Using Scanline Coherence,” United States Patent, Patent Number 5,396,583, March.
[14]Yang Linhong, Masahito Hirakawa, 2002 “A Stitching Algorithm of Still Pictures with Camera Translation,” Proc. of International Symposium on Cyter Worlds.
[15]H. Sezliski, S. Kang, 1999 “True multi-image alignment and its application to mosaicing and lens distortion correction,” IEEE Trans. On Pattern Analysis and Machine Intelligence, Vol. 21, No.3.
[16]H. Shum, R. Szeliski, 2000 “Construction of panoramic mosaics with global and local alignment,” Proc. of International Journal of Computer Vision.
[17]D. Lowe, “Distinctive image features from scale-invariant keypoints, 2004” Proc. Of International Journal of Computer Vision.
[18]M. Brown, R. Szeliski, S. Winder, 2005 “Multi-image matching using multi-scale oriented patches,” Proc. of International Conference on Computer Vision and Pattern Recognition.
[19]Matthew Brown, David G.Lowe, 2007 “Automatic Panoramic Image Stitching using Invariant Features,” Proc. of International Journal of Computer Vision.
[20]J.Davis, “Mosaics of Scenes with moving objects, 1998” Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 354-360.
[21]Tomoyuki Shimizu, Akio Yoneyama, Yasuhiro Takishima, 2006 “A fast video stitching method for motion-compensated frames in compressed video streams,” Proc. of International Conference on Consumer Electronics, pp. 173-174.
[22]Matthew Brown, David G.Lowe, 2007 “Automatic Panoramic Image Stitching using Invariant Features,” Proc. of International Journal of Computer Vision.
[23]Moravec H P., 1979, "Visual mapping by a robot rover", Proc. of 6th IJCAI, 1979:589-600.
[24]Harris C, Stephens M., 1988, "A combined corner and edge detector", Proc. Alvey Vision Conf., 1988: 147-151.
[25]D. Lowe, 2004 “Distinctive image features from scale-invariant keypoints,” Proc. of International Journal of Computer Vision.
[26]U. Neumann, T. Pintaric, and A. Rizzo, 2000 “Immersive panoramic video,” in Proceedings of International Conference on Multimedia, pp. 493- 494.
[27]A. Rav-Acha, Y. Pritch, D. Lischinski, and S. Peleg, “Dynamosaicing :mosaicing of dynamic scenes, 2007” IEEE Trans. Pattern Analysis andMachine Intelligence , Vol. 29, No. 10, pp. 1789-1801, Oct.
[28]A. Agarwala, K.C. Zheng, C. Pal, M. Agrawala, M. Cohen, B. Curless, D. Salesin and R.Szeliski, 2005 “Panoramic Video Textures,” In Proc. SIGGRAPG’05, vol. 24, no.3, pages 821-827, August.
[29]A. Rav-Acha, Y. Pritch, D. Lischinski, and S. Peleg, 2005 “Dynamosaicing: video mosaics with non-chronological time,” in Proc. Conf.Computer Vision and Pattern Recognition, pp. 58-65, June.
[30]M. Irani and P. Anandan, 1998 “Video Indexing Based on Mosaic Representations,” In Proc. IEEE, vol. 86, no. 5, pages 905-921, May.
[31]T. Pintaric, U. Neumann and A. Rizzo, “Immersive Panoramic Video,” In Proc.ACM MULTIMEDIA’00, pages 493-494, 2000.
[32]D. Kimber, J. Foote and S. Lertsithichai, 2001 “FlyAbout: Spatially Indexed Panoramic Video,” In Proc. ACM MULTIMEDIA’01, pages 339-347.
[33]A. Agarwala, K.C. Zheng, C. Pal, M. Agrawala, M. Cohen, B. Curless, D. Salesin and R.Szeliski, 2005 “Panoramic Video Textures,” In Proc. SIGGRAPG’05, vol. 24, no. 3, pages 821-827, August.
[34]鍾玉圻,2008,「增加車輛行駛視野解析度之視訊縫合技術」,國立中正大學,機電機工程研究所,碩士論文。
[35]A.P. Witkin 1983,” Scale-space filtering,” Proceedings of International Joint Conference on Artificial Intell,held at Karsruhe,West Germany, published by Morgan-Kaufmann, Palo Alto, California, pp. 1019-1022.
[36]J.J. Koenderink, 1984” The structure of images,” Biological Cybernetics, Vol. 50, pp. 363–396.
[37]T. Lindeberg, 1994” Scale-space theory: A basic tool for analyzing structures at different scales,” Journal of Applied Statistics, Vol. 21, No. 2, pp. 224–270.


QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊