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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >The normalised image of the absolute conic and its application for zooming camera calibration
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The normalised image of the absolute conic and its application for zooming camera calibration

机译:绝对圆锥的归一化图像及其在变焦相机校准中的应用

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摘要

We present a novel technique for calibrating a zooming camera based on the invariance properties of the normalised image of the absolute conic (NIAC). We show that the camera parameters independent of position, orientation and zooming are determined uniquely by the NIAC, and we exploit these invariance Properties to develop a stratified calibration method that decouples the calibration parameters. The method is organised in three steps: (i) computation of the NIAC, (ii) computation of the focal length for each image and (iii) computation of the orientation and the position of the camera. The method requires a minimum of three views of a single planar grid. Experiments with synthetic and real data suggest that the method is competitive with other state-of-the-art plane-based zooming calibration methods in the scenarios considered. (C) 2008 Elsevier Ltd. All rights reserved.
机译:我们提出了一种基于绝对圆锥(NIAC)归一化图像的不变性来校准变焦镜头的新颖技术。我们证明了独立于位置,方向和缩放的相机参数是由NIAC唯一确定的,并且我们利用这些不变性来开发一种分层的校准方法,以将校准参数解耦。该方法分为三个步骤:(i)计算NIAC,(ii)计算每个图像的焦距,以及(iii)计算摄像机的方向和位置。该方法至少需要一个平面网格的三个视图。使用合成数据和真实数据进行的实验表明,在所考虑的场景中,该方法与其他基于平面的最新缩放校准方法具有竞争力。 (C)2008 Elsevier Ltd.保留所有权利。

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