DocumentCode
2637382
Title
SiteCity: a semi-automated site modelling system
Author
Hsieh, Yuan
Author_Institution
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
1996
fDate
18-20 Jun 1996
Firstpage
499
Lastpage
506
Abstract
This paper presents SiteCity, a semi-automated building extraction system integrating photogrammetry, geometric constraints and image understanding algorithms. Existing automated building extraction systems produce mixed results and it is clear that human intervention is required to correct mistakes from fully automated systems. SiteCity gives human operators the ability to construct and manipulate three dimensional building objects using multiple images. Image understanding algorithms are integrated into SiteCity to assist users. The automated processes in SiteCity use user-delineated roof boundaries as cues, and attempt to locate the floor of a building and match the building object in other images. In addition, photogrammetric cues are used to assist automated processes. These automated processes are described and their performance is evaluated, illustrating that automated processes in SiteCity produce comparable performance to that of human subjects
Keywords
computer vision; feature extraction; photogrammetry; SiteCity; building extraction system; cues; geometric constraints; image understanding algorithms; multiple images; photogrammetric cues; photogrammetry; semi-automated site modelling system; user-delineated roof boundaries; Area measurement; Buildings; Computer science; Computer vision; Current measurement; Feature extraction; Floors; Humans; Laboratories; Workstations;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on
Conference_Location
San Francisco, CA
ISSN
1063-6919
Print_ISBN
0-8186-7259-5
Type
conf
DOI
10.1109/CVPR.1996.517118
Filename
517118
Link To Document