請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/6100
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 陳炳宇 | |
dc.contributor.author | Yi-Shan Lin | en |
dc.contributor.author | 林奕杉 | zh_TW |
dc.date.accessioned | 2021-05-16T16:20:54Z | - |
dc.date.available | 2018-08-08 | |
dc.date.available | 2021-05-16T16:20:54Z | - |
dc.date.copyright | 2013-08-08 | |
dc.date.issued | 2013 | |
dc.date.submitted | 2013-08-01 | |
dc.identifier.citation | [1] Disney. http://disney.com/.
[2] Knoxville track club. http://www.ktc.org/. [3] Pacific graphics 2013. http://www.comp.nus.edu.sg/ pg2013/. [4] Panda. http://www.fanpop.com/clubs/cartoon-pandas/images/28525562/title/pandas-photo. [5] Qr-jam. http://staff.aist.go.jp/hagiwara.hagiwara/qrjam/qr dl.html. [6] Wine swirl. http://www.sxc.hu/photo/1337577. [7] Year 2013. http://www.yaegaki-kai.be/happy-new-year-2013/. [8] M. Ashikhmin. Synthesizing natural textures. In Proceedings of the 2001 symposium on Interactive 3D graphics, pages 217–226, 2001. [9] C. Barnes, E. Shechtman, A. Finkelstein, and D. B. Goldman. Patchmatch: a randomized correspondence algorithm for structural image editing. ACM Trans. Graph., 28(3):24:1–24:11, 2009. [10] R. Carroll, A. Agarwala, and M. Agrawala. Image warps for artistic perspective manipulation. ACM Trans. Graph., 29(4):127:1–127:9, July 2010. [11] R. Carroll, M. Agrawal, and A. Agarwala. Optimizing content-preserving projections for wide-angle images. ACM Trans. Graph., 28(3):43:1–43:9, July 2009. [12] 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. [13] I. Drori, D. Cohen-Or, and H. Yeshurun. Fragment-based image completion. ACM Trans. Graph., pages 303–312, 2003. [14] A. Efros and T. Leung. Texture synthesis by non-parametric sampling. In In International Conference on Computer Vision, pages 1033–1038, 1999. [15] A. A. Efros and W. T. Freeman. Image quilting for texture synthesis and transfer. In Proceedings of the 28th annual conference on Computer graphics and interactive techniques, pages 341–346, 2001. [16] K. Fujita, M. Kuribayashi, and M. Morii. Expansion of image displayable area in design qr code and its applications. In Forum on Information Technology, 2011. [17] T. Igarashi, T. Moscovich, and J. F. Hughes. As-rigid-as-possible shape manipulation. ACM Trans. Graph., 24:1134–1141, 2005. [18] ISO/IEC 18004:2000. Information technology - Automatic identification and data capture techniques - Bar code symbology - QR Code. International Organization for Standardization, Geneva, Switzerland, 2000. [19] A. Jacobson, I. Baran, J. Popovi’c, and O. Sorkine. Bounded biharmonic weights for realtime deformation. ACM Trans. Graph., 30, 2011. [20] V. Kwatra, I. Essa, A. Bobick, and N. Kwatra. Texture optimization for example-based synthesis. ACM Trans. Graph., 24(3):795–802, 2005. [21] L. Liang, C. Liu, Y.-Q. Xu, B. Guo, and H.-Y. Shum. Real-time texture synthesis by patchbased sampling. ACM Trans. Graph., pages 127–150, 2001. [22] F. Liu, M. Gleicher, H. Jin, and A. Agarwala. Content-preserving warps for 3d video stabilization. ACM Transcations on Graphics (Proceedings of ACM SIGGRAPH 2009), 28(3), 2009. [23] S. Ono, K. Morinaga, and S. Nakayama. Two-dimensional barcode decoration based on real-coded genetic algorithm. In IEEE Congress on Evolutionary Computation (IEEEWorld Congress on Computational Intelligence), pages 1068 –1073, 2008. [24] S. Ono and S. Nakayama. A system for decorating qr code with facial image based on interactive evolutionary computation and case-based reasoning. In Second World Congress on Nature and Biologically Inspired Computing (NaBIC), pages 401 –406, 2010. [25] A. Rosenberger, D. Cohen-Or, and D. Lischinski. Layered shape synthesis: automatic generation of control maps for non-stationary textures. ACM Trans. Graph., 28(5):107:1–107:9, 2009. [26] D. Samretwit and T. Wakahara. Measurement of reading characteristics of multiplexed image in qr code. In International Conference on Intelligent Networking and Collaborative Systems (INCoS), pages 552 –557, 2011. [27] S. Schaefer, T. McPhail, and J. Warren. Image deformation using moving least squares. ACM Trans. Graph., 25:533–540, July 2006. [28] D. Simakov, Y. Caspi, E. Shechtman, and M. Irani. Summarizing visual data using bidirectional similarity, 2008. [29] C. E. Toyama, A. Criminisi, P. P’erez, and K. Toyama. Object removal by exemplar-based inpainting. pages 721–728, 2003. [30] T. Wakahara and N. Yamamoto. Image processing of 2-dimensional barcode. In International Conference on Network-Based Information Systems (NBiS), pages 484 –490, 2011. [31] T. Wakahara, N. Yamamoto, and H. Ochi. Image processing of dotted picture in the qr code of cellular phone. In International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), pages 454 –458, 2010. [32] Y.-S. Wang, C.-L. Tai, O. Sorkine, and T.-Y. Lee. Optimized scale-and-stretch for image resizing. In ACM Trans. Graph., 2008. [33] O. Weber and C. Gotsman. Controllable conformal maps for shape deformation and interpolation. ACM Trans. Graph., 29, 2010. [34] L.-Y. Wei and M. Levoy. Fast texture synthesis using tree-structured vector quantization. In Proceedings of the 27th annual conference on Computer graphics and interactive techniques, SIGGRAPH ’00, pages 479–488, 2000. [35] Y.-H. L. Yu-Pei Chang, Ja-Ling Wu. Appearance-based qr code beautifier. IEEE Transactions on Multimedia, 2013. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/6100 | - |
dc.description.abstract | QR Code 是一種能夠將資訊編碼的二維條碼。一個標準的QR
Code只由黑色和白色的正方形組成,在外觀上並不具有特色。因此, 在這篇論文提出了一個裝飾QR Code 的架構,藉由此架構使QR Code 得以更引人注目的方式呈現、並盡所能保有QR Code 的可讀性。 此架構主要是由藝術家所設計的QR Code 得到啟發,根據觀察, 藝術家通常會在QR Code 中插入圖片以及風格化原本的黑白方形。風 格化以參照二元化的範例圖形來重新塑型原有的正方形,使得其局部 外觀能與範例圖型相似的方式來達成。而關於插入圖片的部分,則更 提出對插入的圖片進行編碼感知變形(code-awawre warping) 的技術來 降低插入圖片所造成的編碼錯誤、增高可讀的機率。相較於從前的方 法對整張圖做全域性的轉換,此演算法針對圖片做局部變形去逼近周 遭編碼的顏色分布。最後以一系列市面上可獲得的QR Code 辨識軟體以及理想上可讀性的數據來檢驗大量所裝飾的QR Code來驗證此篇論文的結果。 | zh_TW |
dc.description.abstract | QR code is a kind of two dimensional barcode that encodes information. A standard QR code contains only regular black and white squares, and thus is not so attractive. In this paper, we propose a novel framework for embellishing
a standard QR code, so that the embellished QR code is attractive and recognizable for human when printed on any broadcasting media while minimizing its distance from standard QR code. The proposed method is inspired by artistic works, where a QR code is usually embellished by stylizing the square codes and embedding images. In this framework, the regular square codes are reshaped by referring a binary examplar, so that their local appearances resemble the example shape. In addition, we propose an error-aware warping technique for deforming the embedded image, so that the error of the QR code caused by the image embedding is minimized to increase the QR code’s readability. Compared to previous global transformation techniques, the algorithm allows for lower data error because the warping is able to locally deform the embedding image to adapt the squares surrounding it. This framework has been examined by embellishing an extensive set of QR codes and testing the readability with several commercial QR code readers. | en |
dc.description.provenance | Made available in DSpace on 2021-05-16T16:20:54Z (GMT). No. of bitstreams: 1 ntu-102-R00725010-1.pdf: 10793787 bytes, checksum: 837947bd1edd032faec618be71c6d0d2 (MD5) Previous issue date: 2013 | en |
dc.description.tableofcontents | Abstract iv
List of Figures vi Chapter 1 Introduction 1 1.1 Introduction of QR Code 1 1.2 Motivation of Decorating QR Code 1 1.3 Challenges of Decorating QR Code 2 1.4 Proposed Method 3 1.5 Contribution and Thesis Organization 3 Chapter 2 QR Code Symbol Configuration 5 2.1 QR Code Version 5 2.2 QR Code Structure 6 2.2.1 Function Pattern 6 2.2.2 Encoding Region 7 2.3 Generation of QR code 8 Chapter 3 Related Work 11 3.1 QR Code Decoration 11 3.2 Warping-based Image Deformation 14 3.3 Patch-based Image Synthesis 15 Chapter 4 Framework of Embellishing QR Code 17 Chapter 5 Code-aware Image Warping 20 5.1 QR code error energy 21 5.2 Shape distortion energy 23 5.3 Smoothness energy 24 5.4 Scale energy 24 5.5 Total energy and optimization 24 Chapter 6 Module Stylization 27 6.1 Similarity distance 28 6.2 Boundary construction 29 6.2.1 Boundary patch matching 30 6.2.2 Boundary modification 31 Chapter 7 Results 36 7.1 Comparison with Previous Methods 41 7.2 Performance 42 7.3 Discussion and Limitation 44 Chapter 8 Conclusion 49 Bibliography 51 | |
dc.language.iso | en | |
dc.title | QR Code風格化之研究 | zh_TW |
dc.title | Artistic QR Code Embellishment | en |
dc.type | Thesis | |
dc.date.schoolyear | 101-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 吳家麟,鄭文皇,王昱舜 | |
dc.subject.keyword | QR code 風格化,QR code,編碼感知變形,形狀合成,模組風格化, | zh_TW |
dc.subject.keyword | QR code stylization,QR code,code-aware image warping,shape synthesis,module stylization, | en |
dc.relation.page | 53 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2013-08-01 | |
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 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-102-1.pdf | 10.54 MB | Adobe PDF | 檢視/開啟 |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。