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Add a feature to the table * @param value the value to store for that feature * @param feature the feature itself */

----------------------------------------------------------------------------- ! ImageViewerWindow::addProcessStep */

* Returns a pointer to a piece of new memory of the given size in bytes * allocated from the pool. */

* Builds the index. */

@brief Clears the algorithm state */

Remove all elements in the set */

@brief Convert hppiMatrix to Mat. This function allocates and initializes new matrix (if needed) that has the same size and type as input mat

converts CvPoint2D32f to CvPoint. */

@brief Returns a 32-bit unsigned integer and updates RNG. The function returns a uniformly-distributed random 32-bit unsigned integer and updates the

@brief Retrieves an integer value from a file node. The function returns an integer that is represented by the file node. If the file node is NULL, t

@brief Retrieves a floating-point value from a file node. The function returns a floating-point value that is represented by the file node. If the fi

@brief Retrieves a text string from a file node. The function returns a text string that is represented by the file node. If the file node is NULL, t

constructs CvRect structure. */

@param model Motion model. See cv::videostab::MotionModel. @return Default RANSAC method parameters for the given motion model. */

* Find set of nearest neighbors to vec. Their indices are stored inside * the result object. * * Params: * result = the result

* Clustering function that takes a cut in the hierarchical k-means * tree and return the clusters centers of that clustering. * Params:

TODO: Use references?

* \brief Loads the index from a stream * \param stream The stream from which the index is loaded */

* * @param stream - Stream to load from * @return Index header */