Lighting by Guides: Lighting Parameters Inference from Lighting Guides

碩士 === 國立臺灣大學 === 資訊網路與多媒體研究所 === 96 === In 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 gui...

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Main Authors: Hsueh-Tsung Kuo, 郭學聰
Other Authors: Yung-Yu Chuang
Format: Others
Language:en_US
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/76886294550364872801
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spelling ndltd-TW-096NTU056410162016-05-11T04:16:51Z http://ndltd.ncl.edu.tw/handle/76886294550364872801 Lighting by Guides: Lighting Parameters Inference from Lighting Guides 以示意圖片推測三維場景打光參數 Hsueh-Tsung Kuo 郭學聰 碩士 國立臺灣大學 資訊網路與多媒體研究所 96 In 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. Yung-Yu Chuang 莊永裕 2008 學位論文 ; thesis 39 en_US
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language en_US
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description 碩士 === 國立臺灣大學 === 資訊網路與多媒體研究所 === 96 === In 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.
author2 Yung-Yu Chuang
author_facet Yung-Yu Chuang
Hsueh-Tsung Kuo
郭學聰
author Hsueh-Tsung Kuo
郭學聰
spellingShingle Hsueh-Tsung Kuo
郭學聰
Lighting by Guides: Lighting Parameters Inference from Lighting Guides
author_sort Hsueh-Tsung Kuo
title Lighting by Guides: Lighting Parameters Inference from Lighting Guides
title_short Lighting by Guides: Lighting Parameters Inference from Lighting Guides
title_full Lighting by Guides: Lighting Parameters Inference from Lighting Guides
title_fullStr Lighting by Guides: Lighting Parameters Inference from Lighting Guides
title_full_unstemmed Lighting by Guides: Lighting Parameters Inference from Lighting Guides
title_sort lighting by guides: lighting parameters inference from lighting guides
publishDate 2008
url http://ndltd.ncl.edu.tw/handle/76886294550364872801
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