首页> 外文会议>Workshop on VLSI Signal Processing, IX, 1996, 1996 >Semi-automatic metric reconstruction of buildings fromself-calibration: preliminary results on the evaluation of a linearcamera self-calibration method
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Semi-automatic metric reconstruction of buildings fromself-calibration: preliminary results on the evaluation of a linearcamera self-calibration method

机译:建筑物的半自动度量重建自校准:线性评估的初步结果相机自校准方法

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We investigate the linear self-calibration method proposed byNewsam et al. (1996) for our project on 3D reconstruction ofarchitectural buildings. This self-calibration method assumes that theprincipal point is known, the camera has square pixels and has no skew.It allows 3D shape to be reconstructed from two images while giving thecamera the freedom to vary its focal length. In this paper, we evaluatethe focal lengths obtained from their method with both synthetic dataand real data. In real data where known 3D data are available, Tsai's(1987) calibration method is used for comparison. Our experimentalresults show that the focal lengths from the two methods differed byless than 5% and the reconstructed 3D shape was very good in that angleswere well preserved
机译:我们研究了由提出的线性自校准方法 Newsam等。 (1996)的3D重建项目 建筑。此自校准方法假定 主点是已知的,摄像机的像素为正方形,没有歪斜。 它允许从两个图像中重建3D形状,同时提供 相机可以自由更改其焦距。在本文中,我们评估 从他们的方法获得的焦距与两个综合数据 和真实数据。在有已知3D数据可用的真实数据中,Tsai的 (1987)使用校准方法进行比较。我们的实验 结果表明,两种方法的焦距相差 小于5%,在那个角度重建的3D形状非常好 保存完好

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