static void DiscardMissizedFaces(
vec_DetPar& detpars) // io
{
// constants (TODO These have not yet been rigorously empirically adjusted.)
static const double MIN_WIDTH = 1.33; // as fraction of median width
static const double MAX_WIDTH = 1.33; // as fraction of median width
if (NSIZE(detpars) >= 3) // need at least 3 faces
{
// sort the faces on their width (smallest first) so can get median width
sort(detpars.begin(), detpars.end(), DecreasingWidth);
const int median = cvRound(detpars[NSIZE(detpars) / 2].width);
const int minallowed = cvRound(median / MIN_WIDTH);
const int maxallowed = cvRound(MAX_WIDTH * median);
// keep only faces that are not too big or small
vec_DetPar all_detpars(detpars);
detpars.resize(0);
for (int iface = 0; iface < NSIZE(all_detpars); iface++)
{
DetPar* face = &all_detpars[iface];
if (face->width >= minallowed && face->width <= maxallowed)
detpars.push_back(*face);
else if (trace_g || TRACE_IMAGES)
lprintf("[discard face%d of %d]", iface, NSIZE(all_detpars));
}
}
}
void DetectFaces( // all face rects into detpars
vec_DetPar& detpars, // out
const Image& img, // in
int minwidth) // in: as percent of img width
{
CV_Assert(!facedet_g.empty()); // check that OpenFaceDetector_ was called
int leftborder = 0, topborder = 0; // border size in pixels
Image bordered_img(BORDER_FRAC == 0?
img: EnborderImg(leftborder, topborder, img));
// Detection results are very slightly better with equalization
// (tested on the MUCT images, which are not pre-equalized), and
// it's quick enough to equalize (roughly 10ms on a 1.6 GHz laptop).
Image equalized_img;
cv::equalizeHist(bordered_img, equalized_img);
CV_Assert(minwidth >= 1 && minwidth <= 100);
// TODO smallest bioid faces are about 80 pixels width, hence 70 below
const int minpix =
MAX(minwidth <= 5? 70: 100, cvRound(img.cols * minwidth / 100.));
// the params below are accurate but slow
static const double SCALE_FACTOR = 1.1;
static const int MIN_NEIGHBORS = 3;
static const int DETECTOR_FLAGS = 0;
vec_Rect facerects = // all face rects in image
Detect(equalized_img, facedet_g, NULL,
SCALE_FACTOR, MIN_NEIGHBORS, DETECTOR_FLAGS, minpix);
// copy face rects into the detpars vector
detpars.resize(NSIZE(facerects));
for (int i = 0; i < NSIZE(facerects); i++)
{
Rect* facerect = &facerects[i];
DetPar detpar; // detpar constructor sets all fields INVALID
// detpar.x and detpar.y is the center of the face rectangle
detpar.x = facerect->x + facerect->width / 2.;
detpar.y = facerect->y + facerect->height / 2.;
detpar.x -= leftborder; // discount the border we added earlier
detpar.y -= topborder;
detpar.width = double(facerect->width);
detpar.height = double(facerect->height);
detpar.yaw = 0; // assume face has no yaw in this version of Stasm
detpar.eyaw = EYAW00;
detpars[i] = detpar;
}
}
void DetectFaces( // all face rects into detpars
vec_DetPar& detpars, // out
const Image& img, // in
int minwidth) // in: as percent of img width
{
//Polyphemus version: we already have the face, returns the whole image rectangle
bool changedForPolyphemus = true;
//UO
//CV_Assert(!facedet_g.empty()); // check that OpenFaceDetector_ was called
//OU
if(changedForPolyphemus)
{
/*
#ifdef WITH_GUI
cv::namedWindow("StasmFace", CV_WINDOW_NORMAL);
cv::imshow("StasmFace", img);//cv::Mat(img, Rect(0,0,img.cols, img.rows)));
#endif
*/
//if (img.cols != 800 || img.rows != 600) // sanity check
//Err("Image must be 800x600 (your image is %dx%d)", img.cols, img.rows);
DetPar detpar;
detpar.x = img.cols / 2.; // approximate center of face
detpar.y = img.rows / 2.;
detpar.width = img.cols; // approximate size of face
detpar.height = img.rows;
detpar.yaw = 0;
detpar.eyaw = EYAW00;
detpars.resize(1);
detpars[0] = detpar;
//minwidth = 40;
}
else
{
int leftborder = 0, topborder = 0; // border size in pixels
Image bordered_img(BORDER_FRAC == 0?
img: EnborderImg(leftborder, topborder, img));
// Detection results are very slightly better with equalization
// (tested on the MUCT images, which are not pre-equalized), and
// it's quick enough to equalize (roughly 10ms on a 1.6 GHz laptop).
Image equalized_img; cv::equalizeHist(bordered_img, equalized_img);
CV_Assert(minwidth >= 1 && minwidth <= 100);
// TODO smallest bioid faces are about 80 pixels width, hence 70 below
const int minpix =
MAX(minwidth <= 5? 70: 100, cvRound(img.cols * minwidth / 100.));
// the params below are accurate but slow
static const double SCALE_FACTOR = 1.1;
static const int MIN_NEIGHBORS = 3;
static const int DETECTOR_FLAGS = 0;
vec_Rect facerects = // all face rects in image
Detect(equalized_img, facedet_g, NULL,
SCALE_FACTOR, MIN_NEIGHBORS, DETECTOR_FLAGS, minpix);
// copy face rects into the detpars vector
detpars.resize(NSIZE(facerects));
for (int i = 0; i < NSIZE(facerects); i++)
{
Rect* facerect = &facerects[i];
DetPar detpar; // detpar constructor sets all fields INVALID
// detpar.x and detpar.y is the center of the face rectangle
detpar.x = facerect->x + facerect->width / 2.;
detpar.y = facerect->y + facerect->height / 2.;
detpar.x -= leftborder; // discount the border we added earlier
detpar.y -= topborder;
detpar.width = double(facerect->width);
detpar.height = double(facerect->height);
detpar.yaw = 0; // assume face has no yaw in this version of Stasm
detpar.eyaw = EYAW00;
detpars[i] = detpar;
}
}
}
