surf配准matlab代码-GAIM:基于图的仿射不变关键点匹配(GAIM)的Matlab实现。来自同行评审的ECCV2014论文,Toby

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冲浪配准数学代码盖姆 这是Toby Collins,Pablo Mesejo和Adrien Bartoli发表于欧洲的同行评议论文“基于图的关键点匹配中的错误分析和建议的解决方案”中Matlab的基于图的仿射不变关键点匹配(GAIM)的Matlab实现。 2014年9月召开的计算机视觉会议。GAIM解决了两个图像的一般基于关键点的图形匹配问题。 它不需要对象的数量,遮挡的数量,图像之间的非刚性运动的数量,背景杂波的数量或对象的拓扑结构(如果例如对象撕裂,状态可能会发生变化)的先验知识。 这是作者的实现。 如果您在工作中使用此代码的任何部分,请引用本文。 最重要的是,我们希望您会发现此代码有用。 基于图的关键点匹配是一个非常困难的计算机视觉问题,尚未完全解决,需要进行不断的研究。 问题包括使用例如SIFT或SURF检测两个图像中的关键点(或特征),然后使用它们的描述符和相邻关键点之间的几何约束来匹配关键点。 解决方案对于几种应用程序非常重要,包括非刚性对象跟踪,配准和非刚性场景理解。 为了使其正常工作,图像中的对象必须具有良好的纹理(以便可以检测到关键点),并且图像不应被噪声,模糊或压缩

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