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Estimation of image motion through mathematical modeling

机译:通过数学建模估算图像运动

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Abstract: A computational model for estimation of image motion from a sequence of images obtained by an imaging sensor is developed through mathematical modeling. The paper is divided into three parts which describe the evolution of the model of image motion. An ideal model of image motion is developed in the first part. The model is unsolvable because some parameters and boundary condition are unknown. Hence, a reformulated model of image motion is derived in the second part. Although this model is solvable, it is ill-posed mainly due to the differentiation of noise- contaminated image irradiance function. The consequence of this is that the solution estimated by this model is unstable. Thus, the reformulated model is remedied and transformed into a realistic model of image motion which is discussed in the third part. The results from simulations demonstrate that this realistic model of image motion gives correct and reliable estimation.!7
机译:摘要:通过数学建模,开发了一种用于从由成像传感器获得的图像序列估计图像运动的计算模型。本文分为三个部分,分别描述图像运动模型的演变。在第一部分中,开发了理想的图像运动模型。该模型不可解,因为某些参数和边界条件未知。因此,在第二部分中导出了图像运动的重构模型。尽管该模型是可解的,但它的不适定主要是由于受噪声污染的图像辐照度函数的差异。其结果是该模型估计的解不稳定。因此,重新构造了模型,并将其转换为第三部分中讨论的逼真的图像运动模型。仿真结果表明,这种逼真的图像运动模型可以给出正确而可靠的估计值!7

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