NICE_VisLearning/features/fpfeatures/ConvolutionFeature.h

/**
* @file ConvolutionFeature.h
* @brief convolutional feature
* @author Sven Sickert
* @date 10/13/2008

*/
#ifndef ConvolutionFeatureINCLUDE
#define ConvolutionFeatureINCLUDE

#include "core/vector/VectorT.h"
#include "core/vector/MatrixT.h"

#include "core/basics/Config.h"
#include "vislearning/cbaselib/Feature.h"


namespace OBJREC{

/** convolutional feature */
class ConvolutionFeature : public Feature
{

  protected:

  /////////////////////////
  /////////////////////////
  // PROTECTED VARIABLES //
  /////////////////////////
  /////////////////////////

    /** feature parameter */
    int window_size_x;
    int window_size_y;
    int beta_length;

    NICE::Vector *beta;

  public:

    ///////////////////// ///////////////////// /////////////////////
    //                   CONSTRUCTORS / DESTRUCTORS
    ///////////////////// ///////////////////// /////////////////////

    /** simple constructor */
    ConvolutionFeature ( );

    /** default constructor */
    ConvolutionFeature ( const NICE::Config *conf );

    /** simple destructor */
    virtual ~ConvolutionFeature ( );


    ///////////////////// ///////////////////// /////////////////////
    //                      FEATURE STUFF
    ///////////////////// ///////////////////// /////////////////////

    /**
     * @brief (re)initialize parameter vector
     */
    void initializeParameterVector();

    /**
     * @brief return parameter vector
     * @return parameter vector
     */
    NICE::Vector getParameterVector () const;

    /**
     * @brief return feature vector
     * @param example current example
     * @return feature vector
     */
    NICE::Vector getFeatureVector ( const Example *example );

    /**
     * @brief return length of parameter vector
     * @return length of vector
     */
    int getParameterLength () const;

    /**
     * @brief set parameter vector
     * @param vec new parameter vector
     */
    void setParameterVector ( const NICE::Vector &vec );

    /**
     * @brief return feature value for given example
     * @param example given Example
     * @return double feature value
     */
    double val ( const Example *example ) const;

    /**
     * @brief create feature pool with convolutional features
     * @param featurePool to be filled
     * @param variableWindow
     */
    void explode ( FeaturePool &featurePool, bool variableWindow = true ) const;

    /**
     * @brief clone current feature
     * @return clone of current feature
     */
    Feature *clone () const;

    Feature *generateFirstParameter () const;

    ///////////////////// INTERFACE PERSISTENT /////////////////////
    // interface specific methods for store and restore
    ///////////////////// INTERFACE PERSISTENT /////////////////////

    /**
     * @brief Load convolution feature object from external file (stream)
     */
    virtual void restore ( std::istream & is, int format = 0 );

    /**
     * @brief Save convolution feature object to external file (stream)
     */
    virtual void store( std::ostream & os, int format = 0 ) const;

    /**
     * @brief Clear convolution feature object
     */
    virtual void clear ();

};



} //namespace

#endif