請用此 Handle URI 來引用此文件：
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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 歐陽明(Ming Ouhyoung) | |
| dc.contributor.author | Chu-Tien Lee | en |
| dc.contributor.author | 李竺恬 | zh_TW |
| dc.date.accessioned | 2021-06-08T05:10:07Z | - |
| dc.date.copyright | 2011-07-29 | |
| dc.date.issued | 2011 | |
| dc.date.submitted | 2011-07-18 | |
| dc.identifier.citation | [1] S. Avidan and A. Shamir. Seam carving for content-aware image resizing. ACM
Trans. Graph., 26, July 2007. [2] S. Baker and I. Matthews. Lucas-kanade 20 years on: A unifying framework. Int. J. Comput. Vision, 56:221–255, February 2004. [3] M. Bleyer, M. Gelautz, C. Rother, and C. Rhemann. A stereo approach that handles the matting problem via image warping. IEEE Conference on Computer Vision and Pattern Recognition, pages 501–508, 2009. [4] C.-H. Chang, C.-K. Liang, and Y.-Y. Chuang. Content-aware display adaptation and interactive editing for stereoscopic images. IEEE Transactions on Multimedia, 13(3):to appear, June 2011. [5] A. Criminisi, A. Blake, C. Rother, J. Shotton, and P. H. Torr. Efficient dense stereo with occlusions for new view-synthesis by four-state dynamic programming. Int. J. Comput. Vision, pages 89–110, January 2007. [6] P. Felzenszwalb and D. Huttenlocher. Efficient graph-based image segmentation. International Journal of Computer Vision, pages 167–181, 2004. [7] S. Goferman, L. Zelnik-Manor, and A. Tal. Context-aware saliency detection. Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, pages 2376–2383, 2010. [8] R. K. Gunnewiek and P. Vandewalle. How to display 3d content realistically. Technical report, Philips Research Laboratories, The Netherlands., 2010. [9] R. Hess. An open-source siftlibrary. In Proceedings of the international conference on Multimedia, MM ’10. ACM, 2010. [10] I. P. Howard and B. J. Rogers. Seeing in Depth. Oxford University Press, USA, 2008. [11] G. K. Hung. Models of Oculomotor Control. World Scientific Publishing, 2001. [12] G. Jones, D. Lee, N. Holliman, and D. Ezra. Controlling perceived depth in stereoscopic images. In STEREOSCOPIC DISPLAYS AND VIRTUAL REALITY SYSTEMS VIII, page 200, 2001. [13] M. Lambooij, W. IJsselsteijn, M. Fortuin, and I. Heynderickx. Visual discomfort and visual fatigue of stereoscopic displays: A review. Journal of Imaging Science and Technology, 53(3):030201, 2009. [14] M. Lang, A. Hornung, O. Wang, S. Poulakos, A. Smolic, and M. Gross. Nonlinear disparity mapping for stereoscopic 3d. ACM Trans. Graph., 29(3):10, 2010. [15] D. G. Lowe. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision, pages 91–110, 2004. [16] M. Rubinstein, A. Shamir, and S. Avidan. Improved seam carving for video retargeting. ACM Trans. Graph., pages 16:1–16:9, August 2008. [17] S.-K. C. Shi-Ming Lan. The study of layout and camera movement on the effects of stereoscopic scenes in 3d computer animation. Journal of National Taichung University, pages 51–70, 2008. [18] D. Tang. Depth perception. [19] M. Teittinen. Depth cues in the human visual system. http://www.hitl.washington.edu/scivw/EVE/III.A.1.c.DepthCues.html. [20] G. Waloszek. Vision and visual disabilities - an introduction. 2005. [21] O. S. Yu-Shuen Wang, Chiew-Lan Tai and T.-Y. Lee. Optimized scale-and-stretch for image resizing. ACM Trans. Graph., 27(5), 2008. [22] C. L. Zitnick, S. B. Kang, M. Uyttendaele, S. Winder, and R. Szeliski. Highquality video view interpolation using a layered representation. ACM Transactions on Graphics, 23(3):600, 2004. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/23788 | - |
| dc.description.abstract | 本篇論文目的為立體視覺體驗最佳化，亦即提升使用者觀看立體影片之感受。立體體驗是結合科技、知覺心理學及電影學的跨領域研究， 我們提出兩個影響立體體驗的主因：視覺疲勞及知覺深度。從現今立體科技、知覺心理學及電影學的相關研究文獻中， 彙整出五個減少視覺疲勞及增加知覺深度的原則， 並使用裁切法及非均勻縮放法實作之。裁切法實現黑框理論及避免立體視窗衝突， 而非均勻縮放法可以改變雙眼視差。此方法可防止影像的重要視覺部分被扭曲及保持影像於時間上的一致性， 而且避開相機校正、精準深度值、修補破洞等場景內插法所需要面臨的難題。此外，我們實作出一個使用者介面，方便使用者互動式編輯立體影片及觀看立體效果。由使用者研究證明，我們的方法可以成功地將立體視覺體驗最佳化。 | zh_TW |
| dc.description.abstract | The purpose of this thesis is to optimize the stereoscopic 3D experience when users watch those contents. Although stereoscopic experience is a complex multi-disciplinary phenomenon, combined of display technology, perceptual psychology, and cinematography, we propose two factors in stereoscopic experience: visual fatigue and depth perception. In order to optimize stereoscopic experience, five principles to reduce visual fatigue and enhance depth perception have been addressed and implemented via cropping and warping. The cropping method carries out Black Frame Theory and avoids stereo window violation, while the warping method adjusts the binocular disparity, prevents the saliency region from distortion, as well as keeps the temporal coherence. Using our methods, time-consuming problems of existing view interpolation methods such as camera calibration, accurate dense depth map, and inpainting are avoided.
We have designed a GUI that enables users to efficiently edit the stereoscopic video, optimize the stereoscopic experience, and preview the stereoscopic result. The user study shows that our method is successful in optimizing stereoscopic experience. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T05:10:07Z (GMT). No. of bitstreams: 1 ntu-100-R98922140-1.pdf: 35304357 bytes, checksum: 36c8efb8036d17dcdcd96aed4fe42362 (MD5) Previous issue date: 2011 | en |
| dc.description.tableofcontents | 中文摘要i
Abstract ii 1 Introduction 1 1.1 Motivation and Objective . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Background for Stereoscopic 3D . . . . . . . . . . . . . . . . . . . . . . 2 1.2.1 In Perceptual Psychology . . . . . . . . . . . . . . . . . . . . . . 2 1.2.2 In Cinematography . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.2.3 In Display Technology . . . . . . . . . . . . . . . . . . . . . . . 6 2 Related work 7 2.1 Stereoscopic 3D Experience . . . . . . . . . . . . . . . . . . . . . . . . 7 2.2 Conceptual . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2.3 Technical . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 3 Stereoscopic 3D Experience 10 3.1 Visual Fatigue Reduction . . . . . . . . . . . . . . . . . . . . . . . . . . 10 3.1.1 Accommodation-Convergence Conflict Minimization (ACCM) . . 10 3.1.2 Vertical Disparity Removal (VDR) . . . . . . . . . . . . . . . . . 11 3.1.3 Stereo Window Violation Avoidance (SWVA) . . . . . . . . . . . 11 3.2 Depth Perception Enhancement . . . . . . . . . . . . . . . . . . . . . . . 12 3.2.1 Depth Budget Maximization (DBM) . . . . . . . . . . . . . . . . 12 3.2.2 Black Frame Theory (BFT) . . . . . . . . . . . . . . . . . . . . 12 4 Cropping and Warping 14 4.1 Pre-processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 4.1.1 Correspondence F . . . . . . . . . . . . . . . . . . . . . . . . . 15 4.1.2 Saliency S . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 4.1.3 Segmentation G . . . . . . . . . . . . . . . . . . . . . . . . . . 18 4.1.4 Grid . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 4.2 Cropping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 4.2.1 Floating Window . . . . . . . . . . . . . . . . . . . . . . . . . . 20 4.2.2 Black Frame . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 4.3 Warping . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 4.3.1 Disparity Operator . . . . . . . . . . . . . . . . . . . . . . . . . 22 4.3.2 Constrains . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 4.3.3 Energy Minimization . . . . . . . . . . . . . . . . . . . . . . . . 24 5 Result 25 5.1 Visual Fatigue Reduction . . . . . . . . . . . . . . . . . . . . . . . . . . 25 5.2 Depth Perception Enhancement . . . . . . . . . . . . . . . . . . . . . . . 25 5.3 Graphic User Interface . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 5.4 User Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 6 Discussion 30 6.1 The variance of grid size . . . . . . . . . . . . . . . . . . . . . . . . . . 30 6.2 Limitations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 6.3 Future Works . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 7 Conclusion 32 Bibliography 34 | |
| dc.language.iso | en | |
| dc.title | 使用裁切法及非均勻縮放法將立體視覺體驗最佳化 | zh_TW |
| dc.title | Stereoscopic 3D Experience Optimization using Cropping and Warping | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 99-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳維超(Wei-Chao Chen),葉正聖(Jeng-Sheng Yeh) | |
| dc.subject.keyword | 立體影片,視覺疲勞,深度知覺, | zh_TW |
| dc.subject.keyword | Stereoscopic,Visual fatigue,Depth perception, | en |
| dc.relation.page | 35 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2011-07-18 | |
| 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 |
| 顯示於系所單位： | 資訊工程學系 | |
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|---|---|---|---|
| ntu-100-1.pdf 未授權公開取用 | 34.48 MB | Adobe PDF |
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