Default constructor.

generate FabMap bag-of-words data : an image descriptor for each frame */

displays the usage message */

FabMap2 builds the inverted index and requires an additional training/test add function

generates a feature detector based on options in the settings file */

create an instance of a FabMap class with the options given in the settings file */

generate the data needed to train a codebook/vocabulary for bag-of-words methods */

Run FabMap on a test dataset */

shows the features detected on the training video */

Sorts keypoints in descending order of response (strength) */

generate a Chow-Liu tree from FabMap Training data */

use training data to build a codebook/vocabulary */

Custom implementation of Modified Sequential Clustering

\brief Pointer to the function that will calculate the measurement probability (Naive-Bayes or Chow-Liu Tree). \param q The index of the word in the v

draws keypoints to scale with coloring proportional to feature strength */

Removes surplus features and those with invalid size */

The openFabMapcli accepts a YML settings file, an example of which is provided. Modify options in the settings file for desired operation */

* @brief IMatch operator < for match probabilities. * @param m The RHS IMatch object * @return If match probability for LHS < RHS */