請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/37896完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 吳家麟(Ja-Ling Wu) | |
| dc.contributor.author | Chi-Chang Hsieh | en |
| dc.contributor.author | 謝其璋 | zh_TW |
| dc.date.accessioned | 2021-06-13T15:49:50Z | - |
| dc.date.available | 2009-07-14 | |
| dc.date.copyright | 2008-07-14 | |
| dc.date.issued | 2008 | |
| dc.date.submitted | 2008-06-27 | |
| dc.identifier.citation | [1] ACDSee: http://www.acdsystems.com/.
[2] Google Earth: http://earth.google.com/. [3] Photo Story: http://www.microsoft.com/. [4] Picasa: http://picasa.google.com/. [5] M. Brown and D. G. Lowe. Unsupervised 3d object recognition and reconstruction in unordered datasets. In 3DIM ’05: Proceedings of the Fifth International Conference on 3-D Digital Imaging and Modeling, pages 56–63,Washington, DC, USA, 2005. IEEE Computer Society. [6] Z. Cao, X. Sun, and J. Shi. Tour into the picture using relative depth calculation. In Proceedings of the 2004 ACM SIGGRAPH international conference on Virtual Reality continuum and its applications in industry, pages 38–44, 2004. [7] J.-C. Chen, W.-T. Chu, J.-H. Kuo, C.-Y. Weng, and J.-L. Wu. Tiling slideshow. In MULTIMEDIA ’06: Proceedings of the 14th annual ACM international conference on Multimedia, pages 25–34, 2006. [8] N. S.-H. Chu and C.-L. Tai. Animating chinese landscape paintings and panorama using multi-perspective modeling. cgi, 00:0107, 2001. [9] M. Cooper, J. Foote, A. Girgensohn, and L. Wilcox. Temporal event clustering for digital photo collections. ACM Trans. Multimedia Comput. Commun. Appl., 1(3):269–288, 2005. [10] S. Dixon. Automatic extraction of tempo and beat from expressive performances. 30(1):39– 58, 2001. [11] P. F. Felzenszwalb and D. P. Huttenlocher. Efficient graph-based image segmentation. International Journal of Computer Vision, 59(2):167–181, 2004. [12] R. I. Hartley. In defence of the 8-point algorithm. In ICCV ’95: Proceedings of the Fifth International Conference on Computer Vision, pages 1064–1070, 1995. [13] D. Hoiem, A. A. Efros, and M. Hebert. Automatic photo pop-up. ACM Transactions on Graphics, 24(3):577–584, 2005. [14] D. Hoiem, A. A. Efros, and M. Hebert. Closing the loop on scene interpretation. In Proc. Computer Vision and Pattern Recognition (CVPR), June 2008. [15] Y. Horry, K.-I. Anjyo, and K. Arai. Tour into the picture: using a spidery mesh interface to make animation from a single image. In Proceedings of the 24th annual conference on Computer graphics and interactive techniques (SIGGRAPH 1997), pages 225–232, 1997. [16] C.-T. Hsu and J.-L. Wu. Multiresolution mosaic. Image Processing, 1996. Proceedings., International Conference on, 3:743–746 vol.3, 16-19 Sep 1996. [17] X.-S. Hua, L. Lu, and H.-J. Zhang. Photo2video–a system for automatically converting photographic series into video. IEEE Transactions on Circuits and Systems for Video Technology, 16(7):803–819, 2006. [18] H. W. Kang, S. H. Pyo, K.-i. Anjyo, and S. Y. Shin. Tour into the picture using a vanishing line and its extension to panoramic images. Computer Graphics Forum, 20(3):132–141, 2001. [19] C.-C. Liu, C.-H. Huang, W.-T. Chu, and J.-L. Wu. ITEMS: intelligent travel experience management system. In Proc. 9th ACM Intl. Workshop on Multimedia Information Retrieval (MIR’07), pages 291–298, 2007. [20] D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91–110, 2004. [21] J. Nocedal and S. J. Wright. Numerical Optimization. Springer, 1999. [22] J. Park, N. Heo, S. Choi, and S. Y. Shin. Tour into the picture with water surface reflection and object movements: Research articles. Comput. Animat. Virtual Worlds, 17(3-4):315– 324, 2006. [23] P. P′erez, P. P′erez, M. Gangnet, and A. Blake. Poisson image editing. ACM Trans. Graph., 22(3):313–318, 2003. [24] A. Saxena, M. Sun, and A. Y. Ng. Learning 3-D scene structure from a single still image. In Proc. 11th IEEE Intl. Conf. Comput. Vision (ICCV’07), pages 1–8, 2007. [25] N. Snavely, S. M. Seitz, and R. Szeliski. Photo tourism: exploring photo collections in 3d. ACM Transactions on Graphics, 25(3):835–846, 2006. 50 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/37896 | - |
| dc.description.abstract | 現代繁忙的社會裡，人們最喜歡在工作之餘透過旅行來放鬆身心，
而且常常會拍攝許多照片來留下紀念，當旅行結束後， 會瀏覽這些照 片來回憶旅行時的點點滴滴，為了讓人們在看照片時， 能更加真實的 回憶起當初旅行的感覺，本篇論文提出了一個系統(Photo Navigator)， 可以讓使用者彷彿進入照片中的世界，重新遊歷一遍旅行時經過的景 點一樣。此系統包含兩項主要特色，第一，能夠更好的呈現照片間的 空間關係， 以及更強的空間感帶給人們進入照片中的感受； 第二，傳 統3D立體技術較為複雜，本系統透過全自動化的處理， 讓一般使用者 也能很方便的使用。最後我們跟另外兩種相片展示系統（幻燈片秀、 微軟的產品PhotoStory）比較優缺點， 實驗結果顯示，使用者比較喜 歡使用本系統所呈現的效果。 | zh_TW |
| dc.description.abstract | Traveling has nowadays become a popular activity for people to relax
their body and mind. Taking photos is then often an inevitable and frequent event during one’s trip. To satisfy the people’s desire to relive a wonderful travel they had in their photos, this paper presents a system, Photo Navigator, for enhancing the photo browsing experience by creating a realistic feel to users in browsing photos as being personally into the scenes and taking a trip back in time to revisit the place. The proposed system is characterized by two main features. First, it better reveals the spatial relations between photos and offers a strong sense of space by taking users to fly into the scenes. Second, it is fully automatic and plausible for normal users to access the 3D technologies that are traditionally complex to be manipulated. Our results are compared with those of two other browsing tools, i.e. photo slideshow and Microsoft’s PhotoStory. User studies show that people would comparatively appreciate the browsing style we proposed to present their traveling photos and the ease of use for practical applications. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-13T15:49:50Z (GMT). No. of bitstreams: 1 ntu-97-R95922032-1.pdf: 3244631 bytes, checksum: d6ae8f5373cea06d16719c9051d62ef2 (MD5) Previous issue date: 2008 | en |
| dc.description.tableofcontents | 致謝ii
中文摘要iii Abstract iv 1 Introduction 1 2 RelatedWork and System Overview 6 2.1 Realted Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.1.1 Image browsing . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.1.2 3D information reconstruction . . . . . . . . . . . . . . . . . . . 7 2.2 System Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 3 Scene Model Construction 10 3.1 Feature matching . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 3.1.1 SIFT matching . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 3.1.2 Correction by fundamental matrix - F correction . . . . . . . . . 12 3.2 3D scene modeling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 3.2.1 Left-right bounding . . . . . . . . . . . . . . . . . . . . . . . . . 15 3.2.2 Sky-ground detection and top-bottom bounding . . . . . . . . . . 17 3.2.3 Multi-scale vanishing point searching . . . . . . . . . . . . . . . 20 3.2.4 Model building . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 3.3 Camera alignment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 4 Navigating Video Generation 27 4.1 Photo ordering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 4.2 Music beat alignment and speed control . . . . . . . . . . . . . . . . . . 29 4.3 Post-processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 4.3.1 Unknown area filling . . . . . . . . . . . . . . . . . . . . . . . . 31 4.3.2 Cross-blending . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 4.3.3 Cross-fading . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 5 Experimental Results and User Evaluations 35 5.1 Implementation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 5.2 Sets of photographs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 5.3 User Evaluations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 6 Conclusions and Future Work 44 6.1 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 6.2 Future Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 Bibliography 46 | |
| dc.language.iso | en | |
| dc.subject | 基於圖像的建模技術 | zh_TW |
| dc.subject | 相片瀏覽 | zh_TW |
| dc.subject | 漫遊 | zh_TW |
| dc.subject | 空間感 | zh_TW |
| dc.subject | 自動化 | zh_TW |
| dc.subject | sense of space | en |
| dc.subject | image-based modeling. | en |
| dc.subject | automation | en |
| dc.subject | photo browsing | en |
| dc.subject | fly-through | en |
| dc.title | 以空間感為導向之相片展示系統 | zh_TW |
| dc.title | Spatial Oriented Photo Navigation System | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 96-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳文進,莊永裕,李明穗,許秋婷 | |
| dc.subject.keyword | 相片瀏覽,漫遊,空間感,自動化,基於圖像的建模技術, | zh_TW |
| dc.subject.keyword | photo browsing,fly-through,sense of space,automation,image-based modeling., | en |
| dc.relation.page | 47 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2008-06-27 | |
| 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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| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-97-1.pdf 未授權公開取用 | 3.17 MB | Adobe PDF |
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