disparity.h

/**
 * @file disparity.h
 * @brief Disparity map estimation using bilaterally weighted patches
 * @author Laura F. Julia <fernandl@imagine.enpc.fr>
 *         Pascal Monasse <monasse@imagine.enpc.fr>
 *
 * Copyright (c) 2014-2015, Laura F. Julia, Pascal Monasse
 * All rights reserved.
 *
 * This program is free software: you can redistribute it and/or modify it
 * under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * You should have received a copy of the GNU General Pulic License
 * along with this program. If not, see <http://www.gnu.org/licenses/>.
 */

#ifndef DISPARITY_H
#define DISPARITY_H

class Image;

/// Parameters specific to the disparity computation with adaptive weights
struct ParamDisparity {
    float tauCol;   ///< Max cost for color difference term
    float tauGrad;  ///< Max cost for gradient difference term
    float alpha;    ///< Balance between color/gradient difference
    float gammaCol; ///< Weight of color similarity (higher means less weight)
    float gammaPos; ///< Weight for position (higher means less weight)
    int radius;     ///< Radius r of window, size is (2*r+1)x(2*r+1)

    // Constructor with default parameters
    ParamDisparity()
    : tauCol(30),
      tauGrad(2),
      alpha(0.9f),
      gammaCol(12),
      gammaPos(17.5f),
      radius(17) {}

    bool check() const;
};

void disparityAW(Image im1, Image im2, int dMin, int dMax,
                 const ParamDisparity& param, Image& disp1, Image& disp2);

#endif