Room reconstruction from a single spherical image by higher-order energy minimization

Kosuke Fukano, Yoshihiko Mochizuki, Satoshi Iizuka, Edgar Simo Serra, Akihiro Sugimoto, Hiroshi Ishikawa

研究成果: Conference contribution

3 引用 (Scopus)

抜粋

We propose a method for understanding a room from a single spherical image, i.e., reconstructing and identifying structural planes forming the ceiling, the floor, and the walls in a room. A spherical image records the light that falls onto a single viewpoint from all directions and does not require correlating geometrical information from multiple images, which facilitates robust and precise reconstruction of the room structure. In our method, we detect line segments from a given image, and classify them into two groups: segments that form the boundaries of the structural planes and those that do not. We formulate this problem as a higher-order energy minimization problem that combines the various measures of likelihood that one, two, or three line segments are part of the boundary. We minimize the energy with graph cuts to identify segments forming boundaries, from which we estimate structural the planes in 3D. Experimental results on synthetic and real images confirm the effectiveness of the proposed method.

元の言語English
ホスト出版物のタイトル2016 23rd International Conference on Pattern Recognition, ICPR 2016
出版者Institute of Electrical and Electronics Engineers Inc.
ページ1768-1773
ページ数6
ISBN(電子版)9781509048472
DOI
出版物ステータスPublished - 2017 4 13
イベント23rd International Conference on Pattern Recognition, ICPR 2016 - Cancun, Mexico
継続期間: 2016 12 42016 12 8

Other

Other23rd International Conference on Pattern Recognition, ICPR 2016
Mexico
Cancun
期間16/12/416/12/8

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • これを引用

    Fukano, K., Mochizuki, Y., Iizuka, S., Simo Serra, E., Sugimoto, A., & Ishikawa, H. (2017). Room reconstruction from a single spherical image by higher-order energy minimization. : 2016 23rd International Conference on Pattern Recognition, ICPR 2016 (pp. 1768-1773). [7899892] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPR.2016.7899892