TY - JOUR
T1 - Imitating Popular Photos to Select Views for an Indoor Scene
AU - Su, Rung De
AU - Liao, Zhe Yo
AU - Chen, Li Chi
AU - Tung, Ai Ling
AU - Wang, Yu Shuen
PY - 2019/10/1
Y1 - 2019/10/1
N2 - Selecting 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.
AB - Selecting 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.
KW - CCS Concepts
KW - PCB design and layout
KW - • Computing methodologies → Collision detection
KW - • Hardware → Sensors and actuators
UR - http://www.scopus.com/inward/record.url?scp=85075055040&partnerID=8YFLogxK
U2 - 10.1111/cgf.13823
DO - 10.1111/cgf.13823
M3 - Article
AN - SCOPUS:85075055040
VL - 38
SP - 141
EP - 148
JO - Computer Graphics Forum
JF - Computer Graphics Forum
SN - 0167-7055
IS - 7
ER -