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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 資訊工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/30044
完整後設資料紀錄
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dc.contributor.advisor傅楸善(Chiou-Shan Fuh)
dc.contributor.authorYu-Cheng Hsuen
dc.contributor.author許毓承zh_TW
dc.date.accessioned2021-06-13T01:32:29Z-
dc.date.available2010-07-27
dc.date.copyright2007-07-27
dc.date.issued2007
dc.date.submitted2007-07-13
dc.identifier.citation[1] J. Y. Bouguet, “Camera Calibration Toolbox for Matlab,”
http://www.vision.caltech.edu/bouguetj/calib_doc/, 2007.
[2] S. E. Chen and L. Williams, “View Interpolation for Image Synthesis,” Proceedings of SIGGRAPH, Anaheim, California, pp. 279-288, 1993.
[3] I. J. Cox, S. L. Hingorani, S. B. Rao, and B. M. Maggs, “A Maximum Likelihood Stereo Algorithm,” Computer Vision and Image Understanding, Vol. 63, No. 3, pp. 542-567, 1996.
[4] A. Criminisi, J. Shotton, A. Blake, C. Rother, and P.H.S. Torr, “Gaze Manipulation for One-to-One Teleconferencing,” Proceedings of IEEE International Conference on Computer Vision, Nice, France, pp. 191-200, 2003.
[5] A. Elgammal, D. Harwood, L. Davis, “Non-Parametric Model for Background Subtraction,” Proceedings of European Conference on Computer Vision, Dublin, Ireland, pp. 757-761, 2000.
[6] A. Fusiello, E. Trucco, and A. Verri, “A Compact Algorithm for Rectification of Stereo Pairs,” International Journal of Machine Vision and Applications, Vol. 12, No. 1, pp. 16-22, 2000.
[7] J. Gemmell, C. Zitnick, T. Kang, K. Toyama, and S.Seitz. “Gaze Awareness for Videoconferencing: A Software Approach,” IEEE MultiMedia, Vol. 7, No. 4, pp. 26-35, 2000.
[8] C. Loop and Z. Zhang, “Computing Rectifying Homographies for Stereo Vision,” Proceedings of IEEE Conference Computer Vision and Pattern Recognition, Collins, Colorado, pp. 125-131, 1999.
[9] Y. Ohta and T. Kanade, “Stereo by Intra- and Inter-Scanline Search Using Dynamic Programming,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 7, No. 2, pp. 139-154, 1985.
[10] D. W. Scott, Multivariate Density Estimation, Wiley, New York, 1992.
[11] S. M. Seitz and C. R. Dyer, “View Morphing,” Proceedings of SIGGRAPH, New Orleans, LA, pp. 21-30, 1996.
[12] Y. P. Tsai, C. C. Kao, Y. P. Hung, and Z. C. Shih, “Real-Time Software Method for Preserving Eye Contact in Video Conferencing,” Information Science and Engineering, Vol. 20, No. 5, pp. 1002-1017, 2004.
[13] D. Weiner and N. Kiryati, “Virtual Gaze Redirection in Face Images,” Proceedings of International Conference on Image Analysis and Processing, Mantova, Italy, pp. 76-81, 2003.
[14] R. Yang and Z. Zhang, “Eye Gaze Correction with Stereovision for Video Teleconferencing,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 7, pp. 956-960, 2004.
[15] Z. Zhang, “Flexible Camera Calibration by Viewing a Plane from Unknown Orientations,” Proceedings of International Conference on Computer Vision, Kerkyra, Corfu, Greece, pp. 666-673, 1999.
[16] Z. Zhang, “A Flexible New Technique for Camera Calibration,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, No. 11, pp. 1330-1334, 2000.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/30044-
dc.description.abstract在日常視訊會議中,使用者彼此之間沒有視線接觸的問題一直存在。我們在使用電腦做視訊會議的時候,眼睛是看著螢幕中心的對方的。但是因為一些硬體上的限制,我們沒有辦法將攝影機架設在螢幕的正中心。這樣造成了使用者感覺對方總是沒有看著他。如果兩方有適當的眼神接觸,使用者會覺得比較受尊重以及更專心的參與這場會議。
我們這篇論文打算提出一個可以從螢幕左右兩邊的相機輸入影像並產生高品質虛擬正面影像的系統。而為了適應大部分的環境,而不用只能在乾淨的背景前面使用此系統,我們也採用了去除背景的方式,解決一些瑕疵的問題也將影像遮蔽的問題也考慮進去。
zh_TW
dc.description.abstractIn daily video conferencing, eye contact problem always exists because we can not set a camera in the middle of the screen. Users will feel more respected and pay more attention to this conferencing with proper eye contact.
This thesis proposes a high quality virtual view synthesis system with two video streams from two cameras. Cameras were located in left and right sides of the monitor.
To adapt to most environments (background), this thesis also proposes a background subtraction method. Artifacts and occlusion problems are also considered.
en
dc.description.provenanceMade available in DSpace on 2021-06-13T01:32:29Z (GMT). No. of bitstreams: 1
ntu-96-J93922008-1.pdf: 2150749 bytes, checksum: c8f4dba8d4184faa70203e4cb4931ace (MD5)
Previous issue date: 2007
en
dc.description.tableofcontents口試委員會審定書 i
誌 謝 ii
摘 要 iii
Abstract iv
目 錄 v
圖 錄 vi
Chapter 1 Introduction 1
1.1 Problem Definition 1
1.2 Motivation 2
Chapter 2 Related Work 3
2.1 Model-Based and Image-Based Approaches 3
Chapter 3 System Configuration 8
3.1 Experimental Environment 8
3.2 System Pipeline 10
3.2.1 Camera Calibration and Image Rectification (Offline Processing) 11
3.2.2 Background Model Estimation 14
3.2.3 Background Subtraction 15
3.2.4 Scanline Matching 16
3.2.5 Find Minimum Cost Path and Project It to Virtual Image Plane (Image Blending) 16
Chapter 4 Implementation Details 19
4.1 Background Model Estimation and Background Subtraction 19
4.2 Scanline Matching 23
4.2.1 Corner Matching and Color Matching 23
4.3 Find Minimum Cost Path and Project It to Virtual Image Plane (Image Blending) 26
Chapter 5 Results 28
Chapter 6 Conclusions and Future Works 35
Reference 36
dc.language.isoen
dc.subject注視方向矯正zh_TW
dc.subject動態規劃zh_TW
dc.subject視訊會議zh_TW
dc.subject背景去除zh_TW
dc.subjectbackground subtractionen
dc.subjectvideo conferenceen
dc.subjectdynamic programmingen
dc.subjecteye-gaze correctionen
dc.title視訊會議使用的相機陣列zh_TW
dc.titleCamera Array for Video Conferenceen
dc.typeThesis
dc.date.schoolyear95-2
dc.description.degree碩士
dc.contributor.oralexamcommittee王傑智,方志恒,溫光溥
dc.subject.keyword注視方向矯正,動態規劃,視訊會議,背景去除,zh_TW
dc.subject.keywordeye-gaze correction,dynamic programming,video conference,background subtraction,en
dc.relation.page37
dc.rights.note有償授權
dc.date.accepted2007-07-17
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept資訊工程學研究所zh_TW
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