投影和非线性畸变下的图像拼接

S. Nikitin, I. S. Gruzman
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引用次数: 2

摘要

由于摄像机镜头系统的非线性畸变,会导致投影变换参数的估计不正确。因此,图像拼接结果可能存在大量的配准错误。一般来说,投影和非线性畸变参数的同时估计问题是相对于十二个变量的非线性问题,这是非常费力的,并且可能有几个局部极值。本文提供了一种从12变量最小化到2变量最小化的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image Stitching Under Projective and Nonlinear Distortion
Due to the nonlinear distortion of camera lens system, projective transformation parameters will be estimated incorrectly. For this reason the images stitching result may have a lot of misregistrations. In general the problem of simultaneous estimation of projective and nonlinear distortion parameters is nonlinear relative to twelve variables which is very laborious and may have several local extremes. This paper offers technique which gives an ability to proceed from 12 variables minimization to 2 variables minimization.
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