DocumentCode
2115963
Title
Inferring spatial layout from a single image via depth-ordered grouping
Author
Yu, Stella X. ; Zhang, Hao ; Malik, Jitendra
Author_Institution
Comput. Sci. Dept., Boston Coll., Boston, MA
fYear
2008
fDate
23-28 June 2008
Firstpage
1
Lastpage
7
Abstract
Inferring the 3D spatial layout from a single 2D image is a fundamental visual task. We formulate it as a grouping problem where edges are grouped into lines, quadrilaterals, and finally depth-ordered planes. We demonstrate that the 3D structure of planar objects in indoor scenes can be fast and accurately inferred without any learning or indexing.
Keywords
edge detection; image classification; 2D image; depth-ordered grouping; Cameras; Computer science; Educational institutions; Image recognition; Image reconstruction; Indexing; Layout; Navigation; Surface reconstruction; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on
Conference_Location
Anchorage, AK
ISSN
2160-7508
Print_ISBN
978-1-4244-2339-2
Electronic_ISBN
2160-7508
Type
conf
DOI
10.1109/CVPRW.2008.4562977
Filename
4562977
Link To Document