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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 資訊管理學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/33597
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor陳炳宇
dc.contributor.authorLiang-Kai Wangen
dc.contributor.author王亮凱zh_TW
dc.date.accessioned2021-06-13T04:49:32Z-
dc.date.available2006-07-19
dc.date.copyright2006-07-19
dc.date.issued2006
dc.date.submitted2006-07-15
dc.identifier.citation[ACB+05] V. Kolmogorov A., Criminisi, A. Blake, G. Cross, and C. Rother. Bi-layer segmentation of binocular stereo video. IEEE Conference on Computer Vision and Pattern Recognition, Vol.2, pp.407-414, 2005.
[Bro05] A. K. Brodzik. A comparative study of cross-correlation methods for alignment of dna sequences containing repetitive patterns. European Singal Processing Conference, 2005.
[CCBK06] A. Criminisi, G. Cross, A. Blake, and V. Kolmogorov. Bilayer seg- mentation of live video. IEEE Conference on Computer Vision and Pattern Recognition, pp.53-60, 2006.
[CHRM96] I. J. Cox, S. L. Hingorani, S. B. Rao, and B. M. Maggs. A maxi- mum likelihood stereo algorithm. Computer Vision and Image Un- derstanding, Vol.63, No.3, pp.542-567, 1996.
[CSB+03] A. Criminisi, J. Shotton, A. Blake, C. Rother, and P.H.S. Torr. Gaze manipulation for one-to-one teleconferencing. IEEE International Conference on Computer Vision, pp.191-200, 2003.
[CW93] S. E. Chen and L. Williams. View interpolation for image synthesis. SIGGRAPH, pp.279-288, 1993.
[FTV00] A. Fusiello, E. Trucco, and A. Verri. A compact algorithm for recti- fication of stereo pairs. International Journal of Machine Vision and Applications, vol.12, No.1, pp.16-22, 2000.
[GK06] L. Gu and T. Kanade. 3d alignment of face in a single image. IEEE Conference on Computer Vision and Pattern Recognition, pp.1305- 1312, 2006.

[GM03] David M. Grayson and Andrew F. Monk. Are you looking at me? eye contact and desktop video conferencing. ACM Transactions on Computer-Human Interaction, Vol.10, No.3, pp.221-243, 2003.
[GZ02] J. Gemmell and D. Zhu. Implementing gaze-corrected video con- ferencing. Communications, Internet and Information Technology, 2002.
[GZK+00] J. Gemmell, C. Zitnick, T. Kang, K. Toyama, and S.Seitz. Gaze awareness for videoconferencing: A software approach. IEEE Mul- tiMedia, Vol.7, No.4, pp.26-35, 2000.
[JD02] J. Jerald and M. Daily. Eye gaze correction for videoconferencing. Eye Tracking Research and Application Symposium, pp.77-82, 2002.
[KZ01] V. Kolmogorov and R. Zabih. Computing visual correspondence with occlusions using graph cuts. International Conference on Com- puter Vision, Vol.2, pp.508-515, 2001.
[KZ02] V. Kolmogorov and R. Zabih. Multi-camera scene reconstruction via graph cuts. European Conference on Computer Vision, Vol.2, pp.82-96, 2002.
[LJ01] I. Lee and B. Jeon. Enhanced video communication using gaze cor- rection with simplified 3d warping and single camera. Multimedia Databases and Image Communication, pp.213-224, 2001.
[LYS+05] Y. Liu, K. Yamaoka, H. Sato, A. Nakamura, Y. Iwai, and k. Ooi. Eye-contact visual communication with virtual view synthesis. Con- sumer Communications and Networking Conference, 2005.
[LZ99] C. Loop and Z. Zhang. Computing rectifying homographies for stereo vision. IEEE Conference Computer Vision and Pattern Recognition, pp.125-131, 1999.
[Ni06] J. Ni. Face view synthesis using a single image. Thesis proposal in Robotics Institute, Carnegie Mellon University, 2006.

[OK85] Y. Ohta and T. Kanade. Stereo by intra- and inter-scanline search using dynamic programming. IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, Vol.7, No.2, pp.139-154, 1985.
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[SD96] S.M. Seitz and C.R. Dyer. View morphing. SIGGRAPH, pp.21-30, 1996.

[TKHS04] 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.

[Vet98] T. Vetter. Synthesis of novel views from a single face image. In- ternational Journal of Computer Vision, Vol.28, No.2, pp.103-116, 1998.

[WK03] D. Weiner and N. Kiryati. Virtual gaze redirection in face images. 12th International Conference on Image Analysis and Processing, 2003.

[Yip05] B. Yip. Face and eye rectification in video conference using affine transform. IEEE International Conference on Image Processing, 2005.
[YZ04] 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.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/33597-
dc.description.abstract在視訊會議中,錯誤的使用者眼神方向的問題一直存在。使用者總是會覺得對方沒在看自己而是在看其他地方。正確的眼神方向可以讓使用者覺得比較自然,進而更專心在彼此的交談中。這篇論文提出了新的一個虛擬視角合成系統: 使用者只要將兩台網路攝影機安置在電腦螢幕的兩旁(左邊與右邊),系統就會合成出一張眼神轉到正前方而且高品質畫面的虛擬影像。在先前其他相關的研究中, 要即時合成出虛擬的視訊影像需要大量的CPU 計算。如果使用者希望享受一個高品質而且即時生成結果的系統, 往往必須求助於專門的硬體設備。本篇論文所提出的方法是基於軟體執行來實現, 而所提出的方法(scanline based matching algorithm)可以讓執行效率媲美硬體加速。為了讓合成出來的虛擬影像看起來更為自然, 我們提出了一個新演算法(modified dynamic programming)。並且對遮蔽問題作了一些改進。論文最後也附上一些實驗結果與數據。zh_TW
dc.description.abstractIn recent years, eye contact problem always exists in daily video conferencing. Users will feel more comfortable and pay more attention to the conversation with proper eye contact. This thesis proposes a novel virtual view synthesis system. Given two video streams from two cameras located in either side of the monitor (ex: Left and right), the system synthesizes a high quality view-corrected virtual image. In the previous work, synthesized images take lots of time for CPU computation. Special hardware-support may be the only solution if the application needs to be high quality and real-time. However, the performance of our proposed fast scanline based matching algorithm can reach real-time, comparing to certain conventional matching algorithms. To achieve natural virtual image synthesizing, the modified dynamic programming approach is adopted. Artifacts and occlusion problems are also handled. A number of examples demonstrate the high quality results of the proposed algorithm.en
dc.description.provenanceMade available in DSpace on 2021-06-13T04:49:32Z (GMT). No. of bitstreams: 1
ntu-95-R93725035-1.pdf: 2588764 bytes, checksum: e07a94ed240cf0e0f5e0723e977056b5 (MD5)
Previous issue date: 2006
en
dc.description.tableofcontents1 Introduction 11
1.1 Problem definition . . . . . . . . . . . . . . . . . . . . . . . . . . 11
1.2 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
1.3 Potential applications for multi-camera system . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
2 Related work 15
2.1 Video morphing and stereo vision . . . . . . . . . . . . . . . . 15
2.2 Best view selection . . . . . . . . . . . . . . . . . . . . . . . . . . 23
3 System architecture 25
3.1 System configuration . . . . . . . . . . . . . . . . . . . . . . . . . 26
3.2 System pipeline . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
3.2.1 Offline preprocessing . . . . . . . . . . . . . . . . . . . . . 29
3.2.2 Scanline matching . . . . . . . . . . . . . . . . . . . . . . . 32
3.2.3 Image blending . . . . . . . . . . . . . . . . . . . . . . . . 33
4 Implementation details 35
4.1 Scanline based image matching for two camera views . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
4.1.1 Corner matching . . . . . . . . . . . . . . . . . . . . . . . 35
4.1.2 Sliding window weighted difference . . . . . . . . . . 36
4.1.3 Scanline based image matching by circular cross-correlation . . . . . . . . . . . . . . . . . . . . . . . 38
4.2 Image blending . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
4.2.1 Modified dynamic programming . . . . . . . . . . . . . . . 41
4.2.2 Acceleration by space coherence in scanline based image matching . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47
4.2.3 Virtual scanline based warping . . . . . . . . . . . . . . . 49
5 Results 52
6 Conclusions and future work 61
Bibliography 63
dc.language.isoen
dc.subject校正注視方向zh_TW
dc.subject動態規劃法zh_TW
dc.subject視訊會議zh_TW
dc.subject視訊形變zh_TW
dc.subject掃瞄線影像比對zh_TW
dc.subjectvideo conferenceen
dc.subjectvideo morphingen
dc.subjectscanline based image matchingen
dc.subjectdynamic programmingen
dc.subjecteye-gaze correctionen
dc.title以雙攝影機為基礎之視訊形變及其在視訊會議之應用zh_TW
dc.titleDual-Camera Based Video Morphing and its Application on Video Conferenceen
dc.typeThesis
dc.date.schoolyear94-2
dc.description.degree碩士
dc.contributor.coadvisor歐陽明
dc.contributor.oralexamcommittee王傑智,洪一平
dc.subject.keyword校正注視方向,動態規劃法,掃瞄線影像比對,視訊形變,視訊會議,zh_TW
dc.subject.keywordeye-gaze correction,dynamic programming,scanline based image matching,video morphing,video conference,en
dc.relation.page67
dc.rights.note有償授權
dc.date.accepted2006-07-17
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept資訊管理學研究所zh_TW
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