const Shape ShapeMod::ConformShapeToMod_( // return shape conformed to shape model
VEC& b, // io: eigvec weights from previous iters of ASM
const Shape& shape, // in: shape suggested by the descriptor models
int ilev) // in: pyramid level (0 is full size)
const
{
// static for efficiency (init once)
static const VEC pointweights(PointWeights());
Shape newshape = ConformShapeToMod(b,
shape, meanshape_ * GetPyrScale(ilev),
eigvals_ / pow(SQ(PYR_RATIO), ilev), eigvecs_, eigvecsi_,
bmax_, pointweights);
JitterPointsAt00InPlace(newshape); // jitter points at 0,0 if any
if (ilev >= SHAPEHACK_MINPYRLEV) // allow shape hacks only at coarse pyr levs
ApplyShapeModelHacks(newshape, hackbits_);
return newshape;
}
static void StartShapeAndRoi( // we have the facerect, now get the rest
Shape& startshape, // out: the start shape we are looking for
Image& face_roi, // out: ROI around face, possibly rotated upright
DetPar& detpar_roi, // out: detpar wrt to face_roi
DetPar& detpar, // io: detpar wrt to img (has face rect on entry)
const Image& img, // in: the image (grayscale)
const vec_Mod& mods) // in: a vector of models, one for each yaw range
// (use only estart, and meanshape)
{
PossiblySetRotToZero(detpar.rot); // treat small rots as zero rots
FaceRoiAndDetPar(face_roi, detpar_roi, // get ROI around face
img, detpar, false);
DetectEyesAndMouth(detpar_roi, // use OpenCV eye and mouth detectors
face_roi);
// Some face detectors return the face rotation, some don't (in
// the call to NextFace_ just made via NextStartShapeAndRoi).
// If we don't have the rotation, then estimate it from the eye
// angle, if the eyes are available.
if (!Valid(detpar.rot)) // don't have the face rotation?
{
detpar_roi.rot = EyeAngle(detpar_roi);
if (!Valid(detpar_roi.rot)) // eye angle not available?
detpar_roi.rot = 0;
PossiblySetRotToZero(detpar_roi.rot);
detpar.rot = detpar_roi.rot;
if (detpar.rot != 0)
{
// face is rotated: rotate ROI and re-get the eyes and mouth
// TODO: Prevent bogus OpenCV assert fail face_roi.data == img.data.
face_roi = Image(0,0);
FaceRoiAndDetPar(face_roi, detpar_roi,
img, detpar, false);
DetectEyesAndMouth(detpar_roi, // use OpenCV eye and mouth detectors
face_roi);
}
}
TraceEyesMouth(face_roi, detpar_roi);
if (trace_g)
lprintf("%-6.6s yaw %3.0f rot %3.0f ",
EyawAsString(detpar_roi.eyaw), detpar_roi.yaw, detpar_roi.rot);
else
logprintf("%-6.6s yaw %3.0f rot %3.0f ",
EyawAsString(detpar_roi.eyaw), detpar_roi.yaw, detpar_roi.rot);
// select an ASM model based on the face's yaw
const Mod* mod = mods[ABS(EyawAsModIndex(detpar_roi.eyaw, mods))];
const ESTART estart = mod->Estart_();
startshape = StartShapeFromDetPar(detpar_roi,
face_roi, mod->MeanShape_(), estart);
detpar.lex = detpar_roi.lex;
if (IsLeftFacing(detpar_roi.eyaw))
FlipImgInPlace(face_roi);
JitterPointsAt00InPlace(startshape);
}
