研究生: |
張淵揚 Chang, Yuan-Yang |
---|---|
論文名稱: |
Exploring for Better Photographic Composition in Panoramic Scenes 尋求全景影像中較佳攝影構圖方法 |
指導教授: |
陳煥宗
Chen, Hwann-Tzong |
口試委員: | |
學位類別: |
碩士 Master |
系所名稱: |
電機資訊學院 - 資訊工程學系 Computer Science |
論文出版年: | 2009 |
畢業學年度: | 97 |
語文別: | 英文 |
論文頁數: | 32 |
中文關鍵詞: | 影像構圖 、攝影 、全景 、觀景窗 、攝影技巧 、攝影傑作 |
外文關鍵詞: | photographic composition, photography, panoramic scenes, viewfinder, photographic skill, masterpeice photograph |
相關次數: | 點閱:4 下載:0 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
我們提出一個自動影像構圖的新問題,並且提供尋找具有良好影像構圖景色的有效技術。我們試圖模仿呈現在專業攝影師作品裡頭的良好影像構圖,而非應用複雜影像構圖規則。我們的方法是嘗試藉由分析影像的結構特色和影像裡視覺上顯著部分的安排,以模組化專業攝影師的構圖風格。透過觀景窗來尋找好的影像構圖的這項工作被我們視為一個搜尋問題,而我們提供一個隨機搜尋的方法,來尋找好的視覺構圖結構且能從照片傑作的資料庫當中選擇合適的對應參考影像。無論在任何全景的起始位置,我們的方法均可以給予使用者建議,使其拍出如專家影像構圖般的較好影像。
We introduce a new problem of automatic photo composition, and present an effective technique for finding good views within a panoramic scene. Instead of applying heuristic rules of photo composition, we propose to imitate good -composition presented in the artworks of professional photographers. Our method tries to model the composition styles of professional photographs by analyzing the structural features and the layout of visual saliency. The task of finding good photo composition through a viewfinder is formulated as a search problem, and we present a stochastic search algorithm to look for good viewing configurations and to choose suitable reference photos from the collection of masterpiece photographs. Given any initial location in the panoramic scene, our algorithm is able to suggest a better view that would often yield professional-like photo composition.
Bibliography
[1] S. Avidan and A. Shamir. Seam carving for content-aware image resizing. ACM Trans.
Graph., 26(3):10, 2007.
[2] S. Bae, S. Paris, and F. Durand. Two-scale tone management for photographic look.
ACM Trans. Graph., 25(3):637–645, 2006.
[3] S. Banerjee and B. L. Evans. In-camera automation of photographic composition rules.
IEEE Transactions on Image Processing, 16(7):1807–1820, 2007.
[4] Z. Byers, M. Dixion, W. D. Smart, and C. M. Grimm. Say cheese! experiences with a
robot photographer. AI Mag., 25(3):37–46, 2004.
[5] T. S. Cho, M. Butman, S. Avidan, and W. T. Freeman. The patch transform and its
applications to image editing. In IEEE Conference on Computer Vision and Pattern
Recognition, 2008.
[6] T. Deselaers, P. Dreuw, and H. Ney. Pan, zoom, scan: Time-coherent, trained automatic
video cropping. In CVPR, 2008.
[7] R. Gal, O. Sorkine, and D. Cohen-Or. Feature-aware texturing. In Proceedings of
Eurographics Symposium on Rendering, pages 297–303, 2006.
[8] J. Hays and A. A. Efros. Scene completion using millions of photographs. ACM Trans.
Graph., 26(3):4, 2007.
[9] X. Hou and L. Zhang. Saliency detection: A spectral residual approach. In CVPR,
2007.
[10] L. Itti, C. Koch, and E. Niebur. A model of saliency-based visual attention for rapid
scene analysis. IEEE Trans. Pattern Anal. Mach. Intell., 20(11):1254–1259, 1998.
[11] J. Kinghorn and J. Dickman. Perfect Digital Photography. McGraw-Hill/Osborne,
2005.
31
[12] J.-F. Lalonde, S. G. Narasimhan, and A. A. Efros. What does the sky tell us about
the camera? In ECCV, 2008.
[13] A. Oliva and A. B. Torralba. Modeling the shape of the scene: A holistic representation
of the spatial envelope. International Journal of Computer Vision, 42(3):145–175, 2001.
[14] A. Oliva and A. B. Torralba. Contextual guidance of eye movements and attention in
real-world scenes: The role of global features on object search. Psychological Review,
113(4):766–786, 2006.
[15] A. Santella, M. Agrawala, D. DeCarlo, D. Salesin, and M. F. Cohen. Gaze-based
interaction for semi-automatic photo cropping. In CHI, pages 771–780, 2006.
[16] C. Siagian and L. Itti. Rapid biologically-inspired scene classification using features
shared with visual attention. IEEE Trans. Pattern Anal. Mach. Intell., 29(2):300–312,
2007.
[17] J. Sivic, B. Kaneva, A. Torralba, S. Avidan, and W. T. Freeman. Creating and exploring
a large photorealistic virtual space. In First IEEE Workshop on Internet Vision,
2008.
[18] B. Suh, H. Ling, B. B. Bederson, and D. W. Jacobs. Automatic thumbnail cropping
and its effectiveness. In UIST, pages 95–104, 2003.
[19] A. B. Torralba and A. Oliva. Depth estimation from image structure. IEEE Trans.
Pattern Anal. Mach. Intell., 24(9):1226–1238, 2002.
[20] L. Wolf, M. Guttmann, and D. Cohen Or. Non-homogeneous content-driven videoretargeting.
In ICCV, 2007.