3-D descriptions of buildings from an oblique view aerial image

Author

Lin, Chungan ; Nevatia, Ramakant

Author_Institution

Inst. for Robotics & Intelligent Syst., Univ. of Southern California, Los Angeles, CA, USA

fYear

1995

fDate

21-23 Nov 1995

Firstpage

377

Lastpage

382

Abstract

In this paper we describe a method to reconstruct the 3-D descriptions of buildings from an oblique view aerial image. Oblique views present new difficulties over the more conventional nadir views that are now handled by our system. A hierarchical perceptual grouping process is used to generate 2-D roof hypotheses from fragmented linear features of the input image. Good hypotheses are selected and then verified by the corresponding shadow and walls. The 3-D description of a building is reconstructed from the roof hypothesis and the associated shadow and wall evidence. Results on several oblique view images are shown and the evaluation of the results is presented also

Keywords

image reconstruction; remote sensing; 2-D roof hypotheses; buildings; fragmented linear features; hierarchical perceptual grouping; image reconstruction; input image; oblique view aerial image; shadow; wall; Buildings; Computer science; Image edge detection; Image reconstruction; Image segmentation; Intelligent robots; Intelligent structures; Intelligent systems; Layout; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision, 1995. Proceedings., International Symposium on

Conference_Location

Coral Gables, FL

Print_ISBN

0-8186-7190-4

Type

conf

DOI

10.1109/ISCV.1995.477031

Filename

477031