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 :
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