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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳炳宇 | |
| dc.contributor.author | Liang-Kai Wang | en |
| dc.contributor.author | 王亮凱 | zh_TW |
| dc.date.accessioned | 2021-06-13T04:49:32Z | - |
| dc.date.available | 2006-07-19 | |
| dc.date.copyright | 2006-07-19 | |
| dc.date.issued | 2006 | |
| dc.date.submitted | 2006-07-15 | |
| 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. [RCOEJ05] A. L. Rockwood, D. K. Crockett, J. R. Oliphant, and K. S.J. Elenitoba-Johnson. Sequence alignment by cross-correlation. Jour- nal of Biomolecular Techniques, pp.453-458, 2005. [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. [Zha99] Z. Zhang. Flexible camera calibration by viewing a plane from un- known orientations. International Conference on Computer Vision, pp.666-673, 1999. [Zha00] 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.uri | http://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.abstract | In 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.provenance | Made 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.tableofcontents | 1 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.iso | en | |
| 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.subject | video conference | en |
| dc.subject | video morphing | en |
| dc.subject | scanline based image matching | en |
| dc.subject | dynamic programming | en |
| dc.subject | eye-gaze correction | en |
| 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.title | Dual-Camera Based Video Morphing and its Application on Video Conference | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 94-2 | |
| 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.keyword | eye-gaze correction,dynamic programming,scanline based image matching,video morphing,video conference, | en |
| dc.relation.page | 67 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2006-07-17 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 資訊管理學研究所 | zh_TW |
| 顯示於系所單位: | 資訊管理學系 | |
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