#ifndef _PARAMETER_ESTIMATOR_H_
#define _PARAMETER_ESTIMATOR_H_

#include <vector>

/**
 * This class defines the interface for parameter estimators.
 * Classes which inherit from it can be used by the Ransac class to perform robust
 * parameter estimation.
 * The interface includes three methods:
 *                           1.estimate() - Estimation of the parameters using the minimal
 *                                        amount of data (exact estimate).
 *                           2.leastSquaresEstimate() - Estimation of the parameters using
 *                                                      overdetermined data, so that the estimate
 *                                                      minimizes a least squres error criteria.
 *                           3.agree() - Does the given data agree with the model parameters.
 *
 * Author: Ziv Yaniv
 */

class RansacParameterEstimator {
public:	

	/**
	 * Constructor which takes the number of data objects required for an exact 
	 * estimate (e.g. 2 for a line where the data objects are points
	 */
        RansacParameterEstimator(unsigned int minElements) : minForEstimate(minElements){} 

	/**
	 * Exact estimation of parameters.
	 * @param data The data used for the estimate.
	 * @param parameters This vector is cleared and then filled with the computed parameters.
	 */
//	virtual void estimate(std::vector<T *> &data, std::vector<S> &parameters) = 0;

	/**
	 * Least squares estimation of parameters.
	 * @param data The data used for the estimate.
	 * @param parameters This vector is cleared and then filled with the computed parameters.
	 */
//	virtual void leastSquaresEstimate(std::vector<T *> &data, std::vector<S> &parameters) = 0;

	/**
	 * This method tests if the given data agrees with the given model parameters.
	 */
//	virtual bool agree(std::vector<S> &parameters, T &data) = 0;

	/**
	 * Returns the number of data objects required for an exact 
	 * estimate (e.g. 2 for a line where the data objects are points)
	 */
	unsigned int numForEstimate() const {return minForEstimate;}
protected:
	unsigned int minForEstimate;
};

#endif //_PARAMETER_ESTIMATOR_H_