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Proceedings Paper

Line extraction for city modeling using least-median of squares method
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Paper Abstract

3D city modeling from airborne imagery includes mainly two parts: (1) image processing procedures and (2) 3D modeling for man-made objects such as buildings, roads and other objects. Line extraction and stereo matching are usually utilized as an image processing procedures. However, there are some issues for automatic man-made object modeling. In particular, spatial data acquisition of buildings are important for reliable city modeling. In these circumstances, this paper focuses on more efficient line matching method using Least-Median of Squares (LMedS). The LMedS have ability to calculate the trifocal tensor more accurately than least squares method, and the LMedS is able to remove inaccurate matched lines during the line matching procedure. Therefore, more accurate line matching can be performed, and more efficient city modeling was realized. This paper describes more efficient line matching method using LMedS, and investigates an adaptability of this system to city modeling.

Paper Details

Date Published: 17 January 2005
PDF: 8 pages
Proc. SPIE 5665, Videometrics VIII, 56650V (17 January 2005); doi: 10.1117/12.586667
Show Author Affiliations
Yoichi Kunii, Tokyo Denki Univ. (Japan)
Hirofumi Chikatsu, Tokyo Denki Univ. (Japan)


Published in SPIE Proceedings Vol. 5665:
Videometrics VIII
J.-Angelo Beraldin; Sabry F. El-Hakim; Armin Gruen; James S. Walton, Editor(s)

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