Composition-Aware Scene Optimization for Product Images

Increasingly, companies are creating product advertisements and catalog images using computer renderings of 3D scenes. A common goal for these companies is to create aesthetically appealing compositions that highlight objects of interest within the context of a scene. Unfortunately, this goal is cha...

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Vydané v:	Computer graphics forum Ročník 34; číslo 2; s. 13 - 24
Hlavní autori:	Liu, Tianqiang, McCann, Jim, Li, Wilmot, Funkhouser, Thomas
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Blackwell Publishing Ltd 01.05.2015
Predmet:	3-D graphics Advertisements Analysis Cameras Categories and Subject Descriptors (according to ACM CCS) I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Physically based modeling I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism-Animation Image processing systems Optimization Placement Studies Three dimensional
ISSN:	0167-7055, 1467-8659
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Popis
Shrnutí:	Increasingly, companies are creating product advertisements and catalog images using computer renderings of 3D scenes. A common goal for these companies is to create aesthetically appealing compositions that highlight objects of interest within the context of a scene. Unfortunately, this goal is challenging, not only due to the need to balance the trade‐off among aesthetic principles and design constraints, but also because of the huge search space induced by possible camera parameters, object placement, material choices, etc. Previous methods have investigated only optimization of camera parameters. In this paper, we develop a tool that starts from an initial scene description and a set of high‐level constraints provided by a stylist and then automatically generates an optimized scene whose 2D composition is improved. It does so by locally adjusting the 3D object transformations, surface materials, and camera parameters. The value of this tool is demonstrated in a variety of applications motivated by product catalogs, including rough layout refinement, detail image creation, home planning, cultural customization, and text inlay placement. Results of a perceptual study indicate that our system produces images preferable for product advertisement compared to a more traditional camera‐only optimization.
Bibliografia:	Supporting InformationSupporting Information ark:/67375/WNG-C5N4W6XK-0 ArticleID:CGF12537 istex:963B2CABAB069F0CB05EA879E93A2F5F8B8C8F6D SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23
ISSN:	0167-7055 1467-8659
DOI:	10.1111/cgf.12537