Generation of 3d building model using 3d line detection scheme based on line fitting of elevation data

Authors:
Dong-Min Woo;Seung-Soo Han;Young-Kee Jung;Kyu-Won Lee
Affiliations:
Information Engineering Department, Myongji University, Gyeonggido, Korea;Information Engineering Department, Myongji University, Gyeonggido, Korea;Computer Engineering Department, Honam University, Gwangju, Korea;Computer Engineering Department, Daejun University, Daejun, Korea
Venue:
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Year:
2005

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Abstract

This paper presents a new 3D line segment extraction method, which can be used in generating 3D rooftop model. The core of our method is that 3D line segment is extracted by using line fitting of elevation data on 2D line coordinates of ortho-image. In order to use elevation in line fitting, the elevation itself should be reliable. To measure the reliability of elevation, in this paper, we employ the concept of self-consistency. We test the effectiveness of the proposed method with a quantitative accuracy analysis using synthetic images generated from Avenches data set of Ascona aerial images. Experimental results indicate that our method generates 3D line segments almost 10 times more accurate than raw elevations obtained by area-based method. Also, our proposed method shows much improved accuracy over the cooperative hybrid stereo method. Using a simple 3D line grouping scheme, 3D line segments are shown to generate a precise 3D building model effectively.