DocumentCode :
716747
Title :
Estimating structure of indoor scene from a single full-view image
Author :
Hanchao Jia ; Shigang Li
Author_Institution :
Grad. Sch. of Eng., Tottori Univ., Tottori, Japan
fYear :
2015
fDate :
26-30 May 2015
Firstpage :
4851
Lastpage :
4858
Abstract :
In this paper we propose a novel method of estimating indoor scenes from a single full-view image. On the one hand, the conventional methods cope with limited field of view images, such as perspective images and hemispherical omnidirectional images, which result in visually open boundary condition, called open geometry. On the other hand, a full-view image results in a visually close boundary condition, called close geometry. In this paper we employ the characteristics of close geometry to explore indoor scene understanding from a single full-view image. The proposed close geometry is tested in comparison with the conventional open geometry. The comparative experiment is also carried out between the proposed method and the state-of-the-art method [13]. The experimental results show that the proposed approach can achieve a better performance, and imply that close geometry plays an important role on the interpretation of indoor scenes.
Keywords :
geometry; image processing; close geometry; hemispherical omnidirectional images; indoor scene understanding; open geometry; perspective images; single full-view image; structure estimation; visually close boundary condition; visually open boundary condition; Cameras; Estimation; Floors; Geometry; Image edge detection; Image segmentation; Layout;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2015 IEEE International Conference on
Conference_Location :
Seattle, WA
Type :
conf
DOI :
10.1109/ICRA.2015.7139873
Filename :
7139873
Link To Document :
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