openCV中的KeyPoints、DMatch、以及drawMatches函数（sift算法会用到的）

最新推荐文章于 2024-05-27 23:41:31 发布

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最新推荐文章于 2024-05-27 23:41:31 发布 · 1.8w 阅读

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#opencv #sift

本文详细介绍了OpenCV中用于SIFT算法的关键点(keypoint)类、匹配(Dmatch)结构以及如何使用drawMatches函数绘制匹配关键点。通过理解这些概念，读者将更好地掌握SIFT算法在图像处理中的应用。

1. keypoint类

/*!
 The Keypoint Class

 The class instance stores a keypoint, i.e. a point feature found by one of many available keypoint detectors, such as
 Harris corner detector, cv::FAST, cv::StarDetector, cv::SURF, cv::SIFT, cv::LDetector etc.
*/

class  KeyPoint
{
public:
    //! the default constructor默认构造函数
    KeyPoint() : pt(0,0), size(0), angle(-1), 
                 response(0), octave(0), class_id(-1) {}
    //! the full constructor
    KeyPoint(Point2f _pt, float _size, float _angle=-1,
             float _response=0, int _octave=0, int _class_id=-1)
          :pt(_pt), size(_size), angle(_angle),
           response(_response), octave(_octave), class_id(_class_id) {}
    //! another form of the full constructor
    KeyPoint(float x, float y, float _size, float _angle=-1,
             float _response=0, int _octave=0, int _class_id=-1)
          :pt(x, y), size(_size), angle(_angle),
           response(_response), octave(_octave), class_id(_class_id) {}

    size_t hash() const;

    //! con