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Generation of 3D Building Model Using 3D Line Detection Scheme Based on Line Fitting of Elevation Data

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3767))

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.

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© 2005 Springer-Verlag Berlin Heidelberg

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Woo, DM., Han, SS., Jung, YK., Lee, KW. (2005). Generation of 3D Building Model Using 3D Line Detection Scheme Based on Line Fitting of Elevation Data. In: Ho, YS., Kim, H.J. (eds) Advances in Multimedia Information Processing - PCM 2005. PCM 2005. Lecture Notes in Computer Science, vol 3767. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11581772_49

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  • DOI: https://doi.org/10.1007/11581772_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30027-4

  • Online ISBN: 978-3-540-32130-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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