首页> 外文会议>International Conference on Machine Learning and Cybernetics >AUTOMATIC COMPUTATION OF FUNDAMENTAL MATRIX TOGETHER WITH INTEREST POINTS IN CORRESPONDENCE BETWEEN TWO IMAGES
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AUTOMATIC COMPUTATION OF FUNDAMENTAL MATRIX TOGETHER WITH INTEREST POINTS IN CORRESPONDENCE BETWEEN TWO IMAGES

机译:基本矩阵的自动计算与两个图像之间的对应相对应的感兴趣点

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The fundamental matrix is a basic tool in the analysis of scenes taken with two uncalibrated cameras. As was known, the corresponding cameras matrix may then be determined, up to a projective ambiguity, from the computed F, so the following actions will be continued such as reconstruction and so on. In the paper, the method for computing F from a set of corresponding image points is described, and the scale-invariant features extracting is used for computing the interest points. Experimental results show that, the method described is very exactly.
机译:基本矩阵是分析用两个未校准相机拍摄的场景的基本工具。众所周知,然后可以从计算的F确定相应的相机矩阵,从而从计算的f确定投影歧义,因此将继续下列操作,例如重建等。在本文中,描述了从一组相应的图像点计算f的方法,并且尺度不变的特征提取用于计算兴趣点。实验结果表明,描述的方法非常完全。

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