RMatrixXf SeedFeature::computeObjFeatures( const ImageOverSegmentation & ios ) {
Image rgb_im = ios.image();
const RMatrixXs & s = ios.s();
const Edges & g = ios.edges();
const int Ns = ios.Ns();
RMatrixXf r = RMatrixXf::Zero( Ns, N_OBJ_F );
if( N_OBJ_F<=1 ) return r;
VectorXf area = bin( s, 1, [&](int x, int y){ return 1.f; } );
VectorXf norm = (area.array()+1e-10).cwiseInverse();
r.col(0).setOnes();
int o = 1;
if (N_OBJ_COL>=6) {
Image lab_im;
rgb2lab( lab_im, rgb_im );
r.middleCols(o,6) = norm.asDiagonal() * bin( s, 6, [&](int x, int y){ return makeArray<6>( lab_im(y,x,0), lab_im(y,x,1), lab_im(y,x,2), lab_im(y,x,0)*lab_im(y,x,0), lab_im(y,x,1)*lab_im(y,x,1), lab_im(y,x,2)*lab_im(y,x,2) ); } );
RMatrixXf col = r.middleCols(o,3);
if( N_OBJ_COL >= 9)
r.middleCols(o+6,3) = col.array().square();
o += N_OBJ_COL;
// Add color difference features
if( N_OBJ_COL_DIFF ) {
RMatrixXf bcol = RMatrixXf::Ones( col.rows(), col.cols()+1 );
bcol.leftCols(3) = col;
for( int it=0; it*3+2<N_OBJ_COL_DIFF; it++ ) {
// Apply a box filter on the graph
RMatrixXf tmp = bcol;
for( const auto & e: g ) {
tmp.row(e.a) += bcol.row(e.b);
tmp.row(e.b) += bcol.row(e.a);
}
bcol = tmp.col(3).cwiseInverse().asDiagonal()*tmp;
r.middleCols(o,3) = (bcol.leftCols(3)-col).array().abs();
o += 3;
}
}
}
if( N_OBJ_POS >= 2 ) {
RMatrixXf xy = norm.asDiagonal() * bin( s, 2, [&](int x, int y){ return makeArray<2>( 1.0*x/(s.cols()-1)-0.5, 1.0*y/(s.rows()-1)-0.5 ); } );
r.middleCols(o,2) = xy;
o+=2;
if( N_OBJ_POS >=4 ) {
r.middleCols(o,2) = xy.array().square();
o+=2;
}
}
if( N_OBJ_EDGE ) {
RMatrixXf edge_map = DirectedSobel().detect( rgb_im );
for( int j=0; j<s.rows(); j++ )
for( int i=0; i<s.cols(); i++ ) {
const int id = s(j,i);
int bin = edge_map(j,i)*N_OBJ_EDGE;
if ( bin < 0 ) bin = 0;
if ( bin >= N_OBJ_EDGE ) bin = N_OBJ_EDGE-1;
r(id,o+bin) += norm[id];
}
o += N_OBJ_EDGE;
}
const int N_BASIC = o-1;
// Add in context features
for( int i=0; i<N_OBJ_CONTEXT; i++ ) {
const int o0 = o - N_BASIC;
// Box filter the edges
RMatrixXf f = RMatrixXf::Ones( Ns, N_BASIC+1 ), bf = RMatrixXf::Zero( Ns, N_BASIC+1 );
f.rightCols( N_BASIC ) = r.middleCols(o0,N_BASIC);
for( Edge e: g ) {
bf.row(e.a) += f.row(e.b);
bf.row(e.b) += f.row(e.a);
}
r.middleCols(o,N_BASIC) = bf.col(0).array().max(1e-10f).inverse().matrix().asDiagonal() * bf.rightCols(N_BASIC);
o += N_BASIC;
}
return r;
}
RMatrixXf GeodesicDistance::compute( const RMatrixXf &start ) const {
RMatrixXf r = 0*start;
for( int i=0; i<start.cols(); i++ )
r.col(i) = compute( (VectorXf)start.col(i) );
return r;
}
