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A Kinect-Aided Method to Estimate the Fundus Camera Extrinsic Parameters for Three-Dimensional Reconstruction of Retinal Blood Vessels

机译:一种借助于估算视网膜三维重建的眼底相机外在参数的辅助方法

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This paper deals with the estimation of intrinsic and extrinsic parameters in a fundus camera system. These parameters are fundamental to retrieve three-dimensional reconstruction of eye's structure, in our case, retinal blood vessels. In this paper we used the Zhang's algorithm to estimate the intrinsic parameters of the optical system. Besides, an alternative method to estimate the extrinsic parameters is proposed based on the kinect one sensor. These modifications provide an easy way to characterise the whole fundus camera system. Experimental validation was carried out to verify the accuracy of the proposed method. A cylindrical known object was reconstructed having and average error of 3.96%. A real eye's structure was also reconstructed from a fundus image pair.
机译:本文讨论了眼底相机系统中内在和外在参数的估计。在我们的情况下,这些参数是检索眼睛结构的三维重建的根本,视网膜血管。在本文中,我们使用了Zhang的算法来估计光学系统的内在参数。此外,基于Kinect一个传感器提出了一种估计外部参数的替代方法。这些修改提供了一种简单的方法,可以表征整个眼底相机系统。进行实验验证以验证所提出的方法的准确性。重建圆柱形已知物体,平均误差为3.96%。还从眼底对重建了真实的眼睛结构。

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