Imitating Popular Photos to Select Views for an Indoor Scene

dc.contributor.authorSu, Rung-Deen_US
dc.contributor.authorLiao, Zhe-Yoen_US
dc.contributor.authorChen, Li-Chien_US
dc.contributor.authorTung, Ai-Lingen_US
dc.contributor.authorWang, Yu-Shuenen_US
dc.contributor.editorLee, Jehee and Theobalt, Christian and Wetzstein, Gordonen_US
dc.description.abstractSelecting informative and visually appealing views for 3D indoor scenes is beneficial for the housing, decoration, and entertainment industries. A set of views that exhibit comfort, aesthetics, and functionality of a particular scene can attract customers and facilitate business transactions. However, selecting views for an indoor scene is challenging because the system has to consider not only the need to reveal as much information as possible, but also object arrangements, occlusions, and characteristics. Since there can be many principles utilized to guide the view selection, and various principles to follow under different circumstances, we achieve the goal by imitating popular photos on the Internet. Specifically, we select the view that can optimize the contour similarity of corresponding objects to the photo. Because the selected view can be inadequate if object arrangements in the 3D scene and the photo are different, our system imitates many popular photos and selects a certain number of views. After that, it clusters the selected views and determines the view/cluster centers by the weighted average to finally exhibit the scene. Experimental results demonstrate that the views selected by our method are visually appealing.en_US
dc.description.sectionheadersGeometric Modeling
dc.description.seriesinformationComputer Graphics Forum
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectCollision detection
dc.subjectSensors and actuators
dc.subjectPCB design and layout
dc.titleImitating Popular Photos to Select Views for an Indoor Sceneen_US