首页> 外文会议>Pacific-Rim Conference on Multimedia(PCM 2005) pt.1; 20051113-16; Jeju Island(KR) >Generation of 3D Building Model Using 3D Line Detection Scheme Based on Line Fitting of Elevation Data
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Generation of 3D Building Model Using 3D Line Detection Scheme Based on Line Fitting of Elevation Data

机译:基于高程数据线拟合的3D线检测方案生成3D建筑模型

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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.
机译:本文提出了一种新的3D线段提取方法,可用于生成3D屋顶模型。我们方法的核心是通过在正像的2D线坐标上使用高程数据的线拟合来提取3D线段。为了在装配线中使用标高,标高本身应该是可靠的。为了测量高程的可靠性,在本文中,我们采用了自洽的概念。我们使用从Ascona航空图像的Avenches数据集生成的合成图像进行定量精度分析,测试了该方法的有效性。实验结果表明,我们的方法生成3D线段的精度几乎比通过基于区域的方法获得的原始高程高10倍。而且,我们提出的方法显示出比协作混合立体声方法大大提高的准确性。使用简单的3D线分组方案,可以显示3D线段以有效地生成精确的3D建筑模型。

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