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SIFT特征匹配算法

于 2022-08-16 发布 文件大小:3.44 MB
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sift特征点选取是立体匹配中常用到的一种特征匹配算法,很经典,速度也很快,精度很高。SIFT(Scale-invariant feature transform)是一种检测局部特征的算法,该算法通过求一幅图中的特征点(interest points,or corner points)及其有关scale 和 orientation 的描述子得到特征并进行图像特征点匹配。SIFT特征不只具有尺度不变性,即使改变旋转角度,图像亮度或拍摄视角,仍然能够得到好的检测效果。

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