OpenCV
4.0.0
Open Source Computer Vision
|
Classes | |
struct | AutotunedIndexParams |
struct | CompositeIndexParams |
struct | CvType |
struct | CvType< char > |
struct | CvType< double > |
struct | CvType< float > |
struct | CvType< int > |
struct | CvType< short > |
struct | CvType< unsigned char > |
struct | CvType< unsigned short > |
class | GenericIndex |
The FLANN nearest neighbor index class. This class is templated with the type of elements for which the index is built. More... | |
struct | HierarchicalClusteringIndexParams |
class | Index |
class | Index_ |
struct | IndexParams |
struct | KDTreeIndexParams |
struct | KMeansIndexParams |
struct | LinearIndexParams |
struct | LshIndexParams |
struct | SavedIndexParams |
struct | SearchParams |
Enumerations | |
enum | FlannIndexType { FLANN_INDEX_TYPE_8U = CV_8U, FLANN_INDEX_TYPE_8S = CV_8S, FLANN_INDEX_TYPE_16U = CV_16U, FLANN_INDEX_TYPE_16S = CV_16S, FLANN_INDEX_TYPE_32S = CV_32S, FLANN_INDEX_TYPE_32F = CV_32F, FLANN_INDEX_TYPE_64F = CV_64F, FLANN_INDEX_TYPE_STRING, FLANN_INDEX_TYPE_BOOL, FLANN_INDEX_TYPE_ALGORITHM, LAST_VALUE_FLANN_INDEX_TYPE = FLANN_INDEX_TYPE_ALGORITHM } |
Functions | |
template<typename Distance > | |
int | hierarchicalClustering (const Mat &features, Mat ¢ers, const ::cvflann::KMeansIndexParams ¶ms, Distance d=Distance()) |
Clusters features using hierarchical k-means algorithm. More... | |
template<typename ELEM_TYPE , typename DIST_TYPE > | |
int | hierarchicalClustering (const Mat &features, Mat ¢ers, const ::cvflann::KMeansIndexParams ¶ms) |