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#include "precomp.hpp"

namespace cv
{

using std::vector;

Feature2D::~Feature2D() {}

/*
 * Detect keypoints in an image.
 * image        The image.
 * keypoints    The detected keypoints.
 * mask         Mask specifying where to look for keypoints (optional). Must be a char
 *              matrix with non-zero values in the region of interest.
 */
void Feature2D::detect( InputArray image,
                        std::vector<KeyPoint>& keypoints,
                        InputArray mask )
{
    if( image.empty() )
    {
        keypoints.clear();
        return;
    }
    detectAndCompute(image, mask, keypoints, noArray(), false);
}


void Feature2D::detect( InputArrayOfArrays _images,
                        std::vector<std::vector<KeyPoint> >& keypoints,
                        InputArrayOfArrays _masks )
{
    vector<Mat> images, masks;

    _images.getMatVector(images);
    size_t i, nimages = images.size();

    if( !_masks.empty() )
    {
        _masks.getMatVector(masks);
        CV_Assert(masks.size() == nimages);
    }

    keypoints.resize(nimages);

    for( i = 0; i < nimages; i++ )
    {
        detect(images[i], keypoints[i], masks.empty() ? Mat() : masks[i] );
    }
}

/*
 * Compute the descriptors for a set of keypoints in an image.
 * image        The image.
 * keypoints    The input keypoints. Keypoints for which a descriptor cannot be computed are removed.
 * descriptors  Copmputed descriptors. Row i is the descriptor for keypoint i.
 */
void Feature2D::compute( InputArray image,
                         std::vector<KeyPoint>& keypoints,
                         OutputArray descriptors )
{
    if( image.empty() )
    {
        descriptors.release();
        return;
    }
    detectAndCompute(image, noArray(), keypoints, descriptors, true);
}

void Feature2D::compute( InputArrayOfArrays _images,
                         std::vector<std::vector<KeyPoint> >& keypoints,
                         OutputArrayOfArrays _descriptors )
{
    if( !_descriptors.needed() )
        return;

    vector<Mat> images;

    _images.getMatVector(images);
    size_t i, nimages = images.size();

    CV_Assert( keypoints.size() == nimages );
    CV_Assert( _descriptors.kind() == _InputArray::STD_VECTOR_MAT );

    vector<Mat>& descriptors = *(vector<Mat>*)_descriptors.getObj();
    descriptors.resize(nimages);

    for( i = 0; i < nimages; i++ )
    {
        compute(images[i], keypoints[i], descriptors[i]);
    }
}


/* Detects keypoints and computes the descriptors */
void Feature2D::detectAndCompute( InputArray, InputArray,
                                  std::vector<KeyPoint>&,
                                  OutputArray,
                                  bool )
{
    CV_Error(Error::StsNotImplemented, "");
}

int Feature2D::descriptorSize() const
{
    return 0;
}

int Feature2D::descriptorType() const
{
    return CV_32F;
}

int Feature2D::defaultNorm() const
{
    int tp = descriptorType();
    return tp == CV_8U ? NORM_HAMMING : NORM_L2;
}

// Return true if detector object is empty
bool Feature2D::empty() const
{
    return true;
}

}