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

Yoichi Kunii; Hirofumi Chikatsu

doi:10.1117/12.586667

17 January 2005 Line extraction for city modeling using least-median of squares method

Yoichi Kunii, Hirofumi Chikatsu

Proceedings Volume 5665, Videometrics VIII; 56650V (2005) https://doi.org/10.1117/12.586667
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

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.

Citation Download Citation

Yoichi Kunii and Hirofumi Chikatsu "Line extraction for city modeling using least-median of squares method", Proc. SPIE 5665, Videometrics VIII, 56650V (17 January 2005); https://doi.org/10.1117/12.586667

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