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Homography estimation from multithreshold edges of a feature

机译:从要素的多阈值边缘进行单应性估计

摘要

A method of analysing a captured image, comprising the steps of capturing a digital image comprising an instance of a target object for each of a plurality of different brightness threshold levels, generating contours from the captured digital image that indicate where in the captured digital image the pixel values of the captured digital image cross the respective brightness threshold level identifying instances of a contour corresponding to a characteristic feature of said target object for at least two of the respective brightness threshold levels and estimating a homography of the characteristic feature of the target object of the captured image based upon the two or more instances of its corresponding contour.
机译:一种分析捕获的图像的方法,包括以下步骤:捕获包括针对多个不同亮度阈值水平中的每个阈值的目标对象的实例的数字图像;从捕获的数字图像生成轮廓,该轮廓指示捕获的数字图像中的何处。所捕获的数字图像的像素值越过相应的亮度阈值水平,以针对至少两个相应的亮度阈值水平识别与所述目标对象的特征特征相对应的轮廓实例,并估计目标对象的特征特征的单应性基于其相应轮廓的两个或多个实例捕获的图像。

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