Title :
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
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;
Conference_Titel :
Computer Vision, 1995. Proceedings., International Symposium on
Conference_Location :
Coral Gables, FL
Print_ISBN :
0-8186-7190-4
DOI :
10.1109/ISCV.1995.477031
