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ON THE REGISTRATION OF AN OBJECT TRANSLATING ON A STATIC BACKGROUND

机译:静态背景下对象翻译的配准

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This work considers the determination of the relative movements between consecutive images, taken from the same scene (registration), a problem arising in many application fields. With the exception of specialized techniques for specific applications, the most reliable registration algorithms are based on the use of 2-D Fourier transforms. They typically require a relevant computational effort. The computational bulkiness typical of such methods can be overcome by 1-D techniques, needless to say, at the price of a degraded performance in presence of disturbances. This paper proposes a new 1-D method, which exploits the availability of several frames, typical of practical contexts, in order to determine the translation of an object moving between two endpoints on a static background. The noise performance of the new technique is shown to be quite superior to that of the reported 1-D methods. For sufficiently long sequences the noise performance favourably compares with that of 2-D techniques, with considerable computational savings. The possibilities of the method are exemplified by a number of practical examples. [References: 7]
机译:这项工作考虑了确定来自同一场景(配准)的连续图像之间的相对运动的确定,这是许多应用领域中出现的一个问题。除了用于特定应用的专门技术外,最可靠的配准算法基于二维傅立叶变换的使用。它们通常需要相关的计算工作。这种方法典型的计算量大可以通过一维技术克服,不用说,在存在干扰的情况下,性能会下降。本文提出了一种新的一维方法,该方法利用了实际环境中典型的几个帧的可用性,以确定在静态背景上在两个端点之间移动的对象的转换。新技术的噪声性能显示出明显优于已报道的一维方法。对于足够长的序列,其噪声性能可与2-D技术相媲美,并且可节省大量计算量。该方法的可能性通过许多实际例子来说明。 [参考:7]

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