Optimal View Selection For Indoor Scenes

碩士 === 國立交通大學 === 多媒體工程研究所 === 104 === Interior photograph is the most efficient way to help people realize indoor scenes. It is commonly use in house renting, indoor scene design, advertisement and several commercial areas. Clearly, attractive photos would enhance the value of products. To achieve...

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Main Authors: Tung, Ai-Ling, 董艾鈴
Other Authors: Wang, Yu-Shuen
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/90488920017660335603
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spelling ndltd-TW-104NCTU56410412017-09-06T04:22:26Z http://ndltd.ncl.edu.tw/handle/90488920017660335603 Optimal View Selection For Indoor Scenes 室內模型最佳視角選擇系統 Tung, Ai-Ling 董艾鈴 碩士 國立交通大學 多媒體工程研究所 104 Interior photograph is the most efficient way to help people realize indoor scenes. It is commonly use in house renting, indoor scene design, advertisement and several commercial areas. Clearly, attractive photos would enhance the value of products. To achieve the aim, previous methods estimate 3D saliency maps with localinformation such as curvatures to determine good views. However, these methods often focus on a single object and the relations between furnitures are not considred if the goal is to take good photographs of an indoor scene.In contrast, the presented system not only estimates 3D saliencies of a scene but also considers several photography principles when determining the best view. Specifcally, textures, geometries, and spatial relations are taken into account to identify salient objects. After that, a score function that consists of blocking, free space, and rule of third are maximized to select the best view of an indoor scene. Experimental results demonstrate the effectivenss of our technique. Wang, Yu-Shuen 王昱舜 2016 學位論文 ; thesis 40 zh-TW
collection NDLTD
language zh-TW
format Others
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description 碩士 === 國立交通大學 === 多媒體工程研究所 === 104 === Interior photograph is the most efficient way to help people realize indoor scenes. It is commonly use in house renting, indoor scene design, advertisement and several commercial areas. Clearly, attractive photos would enhance the value of products. To achieve the aim, previous methods estimate 3D saliency maps with localinformation such as curvatures to determine good views. However, these methods often focus on a single object and the relations between furnitures are not considred if the goal is to take good photographs of an indoor scene.In contrast, the presented system not only estimates 3D saliencies of a scene but also considers several photography principles when determining the best view. Specifcally, textures, geometries, and spatial relations are taken into account to identify salient objects. After that, a score function that consists of blocking, free space, and rule of third are maximized to select the best view of an indoor scene. Experimental results demonstrate the effectivenss of our technique.
author2 Wang, Yu-Shuen
author_facet Wang, Yu-Shuen
Tung, Ai-Ling
董艾鈴
author Tung, Ai-Ling
董艾鈴
spellingShingle Tung, Ai-Ling
董艾鈴
Optimal View Selection For Indoor Scenes
author_sort Tung, Ai-Ling
title Optimal View Selection For Indoor Scenes
title_short Optimal View Selection For Indoor Scenes
title_full Optimal View Selection For Indoor Scenes
title_fullStr Optimal View Selection For Indoor Scenes
title_full_unstemmed Optimal View Selection For Indoor Scenes
title_sort optimal view selection for indoor scenes
publishDate 2016
url http://ndltd.ncl.edu.tw/handle/90488920017660335603
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