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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 資訊網路與多媒體研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/37268
完整後設資料紀錄
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dc.contributor.advisor莊永裕(Yung-Yu Chuang)
dc.contributor.authorHsueh-Tsung Kuoen
dc.contributor.author郭學聰zh_TW
dc.date.accessioned2021-06-13T15:22:57Z-
dc.date.available2008-08-05
dc.date.copyright2008-08-05
dc.date.issued2008
dc.date.submitted2008-07-23
dc.identifier.citation[1] Antonio Cardoso Costa, A. Augusto de Sousa, and F. Nunus Ferreira. Lighting
design: A goal based approach using optimization. In Rendering Techniques
’99, pages 317–328, 1999.
[2] Carsten Dachsbacher, Marc Stamminger, George Drettakis, and Fr′edo Durand.
Implicit visibility and antiradiance for interactive global illumination. ACM
Transaction on Graphics, 26(3):Article 61 (July 2007), 10 pages, 2007.
[3] Mark Galassi, Jim Davies, James Theiler, Brian Gough, Gerard Jungman,
Michael Booth, and Fabrice Rossi. GNU Scientific Library Reference Manual.
Network Theory Ltd., 2006.
[4] Reid Gershbein and Pat Hanrahan. A fast relighting engine for interactive
cinematic lighting design. In Proceedings of ACM SIGGRAPH 2000, pages
353–358, 2000.
[5] Stefan Gumhold. Maximum entropy light source placement. In Proceedings of
IEEE visualization 2002, pages 275–282, 2002.
[6] Miloˇs Haˇsan, Fabio Pellacini, and Kavita Bala. Direct-to-indirect transfer for
cinematic relighting. In Proceedings of ACM SIGGRAPH 2006, pages 1089–
1097, 2006.
[7] Miloˇs Haˇsan, Fabio Pellacini, and Kavita Bala. Matrix row-column sampling
for the many-light problem. ACM Transaction on Graphics, 26(3):Article 26
(July 2007), 10 pages, 2007.
[8] John K. Kawai, James S. Painter, and Michael F. Cohen. Radioptimization:
goal based rendering. In Proceedings of ACM SIGGRAPH 1993, pages 147–
154, 1993.
[9] J. Marks, B. Andalman, P. A. Beardsley, W. Freeman, S. Gibson, J. Hodgins,
T. Kang, B. Mirtich, H. Pfister, W. Ruml, K. Ryall, J. Seims, and S. Shieber.
Design galleries: a general approach to setting parameters for computer graphics
and animation. In Proceedings of ACM SIGGRAPH 1997, pages 389–400,
1997.
[10] J. A. Nelder and R. Mead. A simplex method for function minimization. Computer
Journal, 7:308–313, 1965.
[11] Ren Ng, Ravi Ramamoorthi, and Pat Hanrahan. All-frequency shadows using
non-linear wavelet lighting approximation. ACM Transactions on Graphics,
22(3):376–381, 2003.
[12] Makoto Okabe, Yasuyuki Matsushita, Li Shen, and Takeo Igarashi. Illumination
brush: Interactive design of all-frequency lighting. In Proceedings of Pacific
Graphics 2007, pages 171–180, 2007.
[13] Fabio Pellacini, Frank Battaglia, R. Keith Morley, and Adam Finkelstein. Lighting
with paint. ACM Transactions on Graphics, 26(2):Article 9 (June 2007),
14 pages, 2007.
[14] Fabio Pellacini, Parag Tole, and Donald P. Greenberg. A user interface for
interactive cinematic shadow design. In Proceedings of ACM SIGGRAPH 2002,
pages 563–566, 2002.
[15] Fabio Pellacini, Kiril Vidimˇce, Aaron Lefohn, Alex Mohr, Mark Leone, and
John Warren. Lpics: a hybrid hardware-accelerated relighting engine for computer
cinematography. In Proceedings of ACM SIGGRAPH 2005, pages 464–
470, 2005.
[16] Pierre Poulin, Karim Ratib, and Marco Jacques. Sketching shadows and highlights
to position lights. In CGI ’97: Proceedings of the 1997 Conference on
Computer Graphics International, pages 56–63, 1997.
[17] William H. Press, Saul A. Teukolsky, William T. Vetterling, and Brian P. Flannery.
Numerical Recipes: The Art of Scientific Computing. Cambridge University
Press, New York, NY, USA, 2007.
[18] Jonathan Ragan-Kelley, Charlie Kilpatrick, Brian W. Smith, Doug Epps, Paul
Green, Christophe Hery, and Fr′edo Durand. The lightspeed automatic interactive
lighting preview system. ACM Transaction on Graphics, 26(3):Article 25,
2007.
[19] Mahesh Ramasubramanian, Sumanta N. Pattanaik, and Donald P. Greenberg.
A perceptually based physical error metric for realistic image synthesis. In
Proceedings of ACM SIGGRAPH 1999, pages 73–82, 1999.
[20] Chris Schoeneman, Julie Dorsey, Brian Smits, James Arvo, and Donald Greenburg.
Painting with light. In Proceedings of ACM SIGGRAPH 1993, pages
143–146, 1993.
[21] Ram Shacked and Dani Lischinski. Automatic lighting design using a perceptual
quality metric. In Proceedings of Eurographics 2001, pages 215–226, 2001.
[22] Peter-Pike Sloan, Jan Kautz, and John Snyder. Precomputed radiance transfer
for real-time rendering in dynamic, low-frequency lighting environments. ACM
Transactions on Graphics, 21(3):527–536, 2002.
[23] Yonghao Yue, Kei Iwasaki, Yoshinori Dobashi, and Tomoyuki Nishita. Global
illumination for interactive lighting design using light path pre-computation
and hierarchical histogram estimation. In Proceedings of Pacific Graphics 2007,
pages 87–98, 2007.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/37268-
dc.description.abstract在這個論文中,我們介紹了一套解決方案以對付『以示意圖片推測三維場景打光參數』的問題:
給定一個場景資訊以及一張打光示意圖,程式可以自動找出能產生最近似示意圖的繪圖結果的打光設定。
我們的系統由四大模組組成:初期推測,最佳化,再打光,圖片誤差計算。
由於本問題是解空間維度非常龐大的非線性最佳化問題,因此好的初期推測決定了結果的好壞。
針對這工作,我們提出了高效率與高成效的演算法。
實驗結果顯示我們的系統可以產生品質良好的打光設定。
自動化的打光設定推測也能夠大大地減輕打光師的負擔。
zh_TW
dc.description.abstractIn this thesis, we introduce and present a solution to the lighting-by-guide problem:
given the description of a scene and an image as the lighting guide, automatically find a lighting configuration so that the resulted rendering best matches the lighting guide.
Our solution framework consists of four main modules, initial guess, optimization, relighting, and difference metric evaluation.
Since the resulted problem is a high-dimensional nonlinear optimization problem, it is crucial to have a good initial guess.
We propose an efficient and effective algorithm for this task.
Experiments show that our system can produce good quality lighting setups.
The result is an automatic lighting algorithm which infers the lighting configuration from the lighting guide, greatly alleviating lighting artists' workload.
en
dc.description.provenanceMade available in DSpace on 2021-06-13T15:22:57Z (GMT). No. of bitstreams: 1
ntu-97-R95944003-1.pdf: 9543925 bytes, checksum: cf4b6afc9d87f30ec9baa3ea56722032 (MD5)
Previous issue date: 2008
en
dc.description.tableofcontents口試委員審定書 i
Acknowledgement ii
中文摘要 iii
Abstract iv
1 Introduction 1
1.1 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.2 Organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
2 Related Work 5
2.1 Interactive Lighting Design . . . . . . . . . . . . . . . . . . . . . . . . 5
2.1.1 Design Galleries . . . . . . . . . . . . . . . . . . . . . . . . . . 5
2.1.2 Shadow Design . . . . . . . . . . . . . . . . . . . . . . . . . . 6
2.1.3 Environment Lighting Design . . . . . . . . . . . . . . . . . . 6
2.1.4 Lighting with Paint . . . . . . . . . . . . . . . . . . . . . . . . 7
2.2 Automatic Lighting Design . . . . . . . . . . . . . . . . . . . . . . . . 7
2.2.1 Painting with Light . . . . . . . . . . . . . . . . . . . . . . . . 7
2.2.2 Radioptimization . . . . . . . . . . . . . . . . . . . . . . . . . 7
2.2.3 Lighting Design with Goal Based Approach . . . . . . . . . . 8
2.2.4 Information Based Approach . . . . . . . . . . . . . . . . . . . 8
2.3 Relighting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
2.3.1 Deferred Shading . . . . . . . . . . . . . . . . . . . . . . . . . 9
2.3.2 Direct to Indirect Relighting . . . . . . . . . . . . . . . . . . . 9
2.3.3 Interactive Global Illumination . . . . . . . . . . . . . . . . . 10
3 Algorithm 11
3.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
3.2 Relighting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
3.3 Initial Guess . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
3.3.1 Expand . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
3.3.2 Solve . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18
3.3.3 Merge . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
3.3.4 Filter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
3.3.5 Post Tweaking . . . . . . . . . . . . . . . . . . . . . . . . . . 22
3.4 Optimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
3.5 Difference Measurement . . . . . . . . . . . . . . . . . . . . . . . . . 24
4 Result 26
5 Conclusion 33
6 Future Work 34
Bibliography 36
dc.language.isoen
dc.subject打光zh_TW
dc.subject示意圖zh_TW
dc.subject最佳化zh_TW
dc.subjectlightingen
dc.subjectoptimizationen
dc.subjectvisual guideen
dc.title以示意圖片推測三維場景打光參數zh_TW
dc.titleLighting by Guides: Lighting Parameters Inference from Lighting Guidesen
dc.typeThesis
dc.date.schoolyear96-2
dc.description.degree碩士
dc.contributor.oralexamcommittee歐陽明(Ming Ouhyoung),張鈞法(Chun-Fa Chang),楊傳凱(Chuan-kai Yang)
dc.subject.keyword打光,示意圖,最佳化,zh_TW
dc.subject.keywordlighting,visual guide,optimization,en
dc.relation.page39
dc.rights.note有償授權
dc.date.accepted2008-07-23
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept資訊網路與多媒體研究所zh_TW
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