static Shape AlignMeanShapeToFaceDetRect(
const DetPar& detpar, // in
const Shape& meanshape, // in
double scale, // in: scale the face rectangle
const Image& img) // io: the image (grayscale)
{
if (trace_g)
lprintf("AlignToFaceDetBox ");
DetPar detpar1(detpar);
if (IsLeftFacing(detpar.eyaw))
detpar1 = FlipDetPar(detpar, img.cols);
CV_Assert(meanshape.rows > 0 && meanshape.cols == 2);
const double xscale = detpar1.width * scale / DET_FACE_WIDTH;
const double yscale = detpar1.height * scale / DET_FACE_WIDTH;
Shape startshape = AlignShape(meanshape,
xscale, 0, detpar1.x,
0, yscale, detpar1.y);
return startshape;
}
static Shape AlignMeanShapeToBothEyesNoMouth(
const DetPar& detpar, // in
const Shape& meanshape) // in
{
if (trace_g)
lprintf("AlignToBothEyesNoMouth ");
CV_Assert(NSIZE(meanshape) > 0 && PointUsed(meanshape, 0));
CV_Assert(Valid(detpar.lex));
CV_Assert(Valid(detpar.rex));
Shape meanline(2, 2), detline(2, 2); // line from eye to eye
meanline(0, IX) = meanshape(L_LPupil, IX); // left eye
meanline(0, IY) = meanshape(L_LPupil, IY);
meanline(1, IX) = meanshape(L_RPupil, IX); // right eye
meanline(1, IY) = meanshape(L_RPupil, IY);
detline(0, IX) = detpar.lex; // left eye
detline(0, IY) = detpar.ley;
detline(1, IX) = detpar.rex; // right eye
detline(1, IY) = detpar.rey;
return AlignShape(meanshape, AlignmentMat(meanline, detline));
}
static Shape AlignMeanShapeToRightEyeAndMouth(
const DetPar& detpar, // in
const Shape& meanshape) // in
{
if (trace_g)
lprintf("AlignToRightEyeAndMouth ");
CV_Assert(NSIZE(meanshape) > 0 && PointUsed(meanshape, 0));
CV_Assert(!Valid(detpar.lex)); // left eye invalid? (else why are we here?)
CV_Assert(Valid(detpar.rex)); // right eye valid?
CV_Assert(Valid(detpar.mouthx)); // mouth valid?
const double x_meanmouth =
(meanshape(L_CTopOfTopLip, IX) + meanshape(L_CBotOfBotLip, IX)) / 2;
const double y_meanmouth =
(meanshape(L_CTopOfTopLip, IY) + meanshape(L_CBotOfBotLip, IY)) / 2;
Shape meanline(2, 2), detline(2, 2); // line from eye to mouth
meanline(0, IX) = meanshape(L_RPupil, IX); // right eye
meanline(0, IY) = meanshape(L_RPupil, IY);
meanline(1, IX) = x_meanmouth; // mouth
meanline(1, IY) = y_meanmouth;
detline(0, IX) = detpar.rex; // right eye
detline(0, IY) = detpar.rey;
detline(1, IX) = detpar.mouthx; // mouth
detline(1, IY) = detpar.mouthy;
return AlignShape(meanshape, AlignmentMat(meanline, detline));
}
//-----------------------------------------------------------------------------
void GetStartShapeFromPreviousSearch (SHAPE &StartShape, // out
const SHAPE &PrevShape, // in: final shape from previous search
const SHAPE &MeanShape) // in
{
if (MeanShape.nrows() == PrevShape.nrows())
StartShape = PrevShape;
else if (MeanShape.nrows() < PrevShape.nrows())
{
StartShape = PrevShape;
StartShape.dimKeep(MeanShape.nrows(), 2);
}
else // MeanShape.nrows() > PrevShape.nrows()
{
// The algorithm below is: use points from PrevShape where possible,
// but of a point is unused in PrevShape, use the point from the
// aligned MeanShape instead.
// use "assign" not "=" because dims may be different
StartShape.assign(MeanShape);
SHAPE Combined(PrevShape);
Combined.dimKeep(MeanShape.nrows(), 2);
AlignShape(StartShape, Combined);
const int nRows = PrevShape.nrows();
for (unsigned iRow = 0; iRow < unsigned(nRows); iRow++)
if (fPointUsed(StartShape, iRow))
StartShape.row(iRow) = PrevShape.row(iRow);
}
}
static Shape AlignMeanShapeToBothEyesEstMouth(
const DetPar& detpar, // in
const Shape& meanshape) // in
{
// .48 was tested to give slightly better worse case results than .50
static double EYEMOUTH_TO_FACERECT_RATIO = .48;
if (trace_g)
lprintf("AlignToBothEyesNoMouth(EstMouth) ");
CV_Assert(NSIZE(meanshape) > 0 && PointUsed(meanshape, 0));
CV_Assert(Valid(detpar.lex));
CV_Assert(Valid(detpar.rex));
// estimate the mouth's position
double x_eyemid = 0;
switch (detpar.eyaw)
{
case EYAW00: // mid point
x_eyemid = .50 * detpar.lex + .50 * detpar.rex;
break;
// TODO The constants below have not been empirically optimized.
case EYAW_45: // closer to left eye
x_eyemid = .30 * detpar.lex + .70 * detpar.rex;
break;
case EYAW_22: // closer to left eye
x_eyemid = .30 * detpar.lex + .70 * detpar.rex;
break;
case EYAW22: // closer to right eye
x_eyemid = .30 * detpar.lex + .70 * detpar.rex;
break;
case EYAW45: // closer to right eye
x_eyemid = .30 * detpar.lex + .70 * detpar.rex;
break;
default:
Err("AlignMeanShapeToBothEyesEstMouth: Invalid eyaw %d", detpar.eyaw);
break;
}
const double y_eyemid = (detpar.ley + detpar.rey) / 2;
Shape mean_tri(3, 2), det_tri(3, 2); // triangle of eyes and mouth
mean_tri(0, IX) = meanshape(L_LPupil, IX); // left eye
mean_tri(0, IY) = meanshape(L_LPupil, IY);
mean_tri(1, IX) = meanshape(L_RPupil, IX); // right eye
mean_tri(1, IY) = meanshape(L_RPupil, IY);
mean_tri(2, IX) = meanshape(L_CBotOfBotLip, IX); // mouth
mean_tri(2, IY) = meanshape(L_CBotOfBotLip, IY);
det_tri(0, IX) = detpar.lex; // left eye
det_tri(0, IY) = detpar.ley;
det_tri(1, IX) = detpar.rex; // right eye
det_tri(1, IY) = detpar.rey;
det_tri(2, IX) = x_eyemid; // mouth
det_tri(2, IY) = y_eyemid + EYEMOUTH_TO_FACERECT_RATIO * detpar.width;
return AlignShape(meanshape, AlignmentMat(mean_tri, det_tri));
}
SHAPE
ConformShapeToModel (Vec &b, // io
const SHAPE &Shape, // in
const ASM_MODEL &Model, // in
int iLev, // in
bool fShapeModelFinalIter) // in
{
Vec MeanShape(Model.AsmLevs[iLev].MeanShape);
// For calculations below we need to see shapes (nrows x 2) as vectors (1 x 2*nrows).
// Note that this is a "view" so if you change MeanShapeAsVec you
// are changing MeanShape too, and vice versa.
VecView MeanShapeAsVec(MeanShape.viewAsCol());
// find y, the model shape that best fits Shape
SHAPE OutShape(Shape);
int nEigs = Model.AsmLevs[iLev].nEigs;
double BMax = Model.AsmLevs[iLev].BMax;
if (fShapeModelFinalIter)
{
// final iter in main ASM search loop so loosen up the model
nEigs = Model.AsmLevs[iLev].nEigsFinal;
BMax = Model.AsmLevs[iLev].BMaxFinal;
}
ASSERT(BMax > 0);
ASSERT(nEigs > 0);
SHAPE x(Shape.nrows(), 2);
x.viewAsCol() = MeanShapeAsVec + Model.EigVecs * b; // generate a model shape x
Mat Pose(AlignShape(x, Shape));
SHAPE y(TransformShape(Shape, Pose.inverse())); // project Shape into model space
// update model params b to match y
// We limit b to ensure we stay within model limits
b = Model.EigInverse * (y.viewAsCol() - MeanShapeAsVec);
LimitB(b, Model.AsmLevs[iLev].EigVals, nEigs, BMax);
// generate OutShape from the model using our calculated b,
// and align OutShape to Shape
OutShape.viewAsCol() = Model.EigVecs * b;
OutShape = TransformShape(Model.AsmLevs[iLev].MeanShape + OutShape, Pose);
return OutShape;
}
AAM_Shape AAMFit::InitShape( const AAM_Shape& pMeanShape, CvRect *pR, int pType = 0 )
{
AAM_Shape detShape;
AAM_Shape startShape;
detShape.resize(2);
detShape[0].x = pR->x;
detShape[0].y = pR->y;
detShape[1].x = detShape[0].x + pR->width;
detShape[1].y = detShape[0].y + pR->height;
if( pType == AAM_FIT_FACE )
AdjustFaceShape(detShape);
else if( pType == AAM_FIT_MOUTH )
AdjustMouthShape(detShape);
AlignShape(startShape, detShape, pMeanShape);
return startShape;
}
static Shape PinMeanShape( // align mean shape to the pinned points
const Shape& pinned, // in: at least two of these points must be set
const Shape& meanshape) // in
{
CV_Assert(pinned.rows == meanshape.rows);
int ipoint, nused = 0; // number of points used in pinned
for (ipoint = 0; ipoint < meanshape.rows; ipoint++)
if (PointUsed(pinned, ipoint))
nused++;
if (nused < 2)
Err("Need at least two pinned landmarks");
// Create an anchor shape (the pinned landmarks) and an alignment shape (the
// points in meanshape that correspond to those pinned landmarks). Do that by
// copying the used points in pinned to pinned_used, and the corresponding
// points in meanshape to meanused.
Shape pinned_used(nused, 2), mean_used(nused, 2);
int i = 0;
for (ipoint = 0; ipoint < meanshape.rows; ipoint++)
if (PointUsed(pinned, ipoint))
{
pinned_used(i, IX) = pinned(ipoint, IX);
pinned_used(i, IY) = pinned(ipoint, IY);
mean_used(i, IX) = meanshape(ipoint, IX);
mean_used(i, IY) = meanshape(ipoint, IY);
i++;
}
CV_Assert(i == nused);
// transform meanshape to pose generated by aligning mean_used to pinned_used
Shape TransformedShape(
AlignShape(meanshape, AlignmentMat(mean_used, pinned_used)));
return JitterPointsAt00(TransformedShape);
}
static Shape AlignMeanShapeToBothEyesAndMouth(
const DetPar& detpar, // in
const Shape& meanshape) // in
{
if (trace_g)
lprintf("AlignToBothEyesAndMouth ");
CV_Assert(NSIZE(meanshape) > 0 && PointUsed(meanshape, 0));
CV_Assert(Valid(detpar.mouthx));
CV_Assert(Valid(detpar.lex));
CV_Assert(Valid(detpar.rex));
Shape mean_tri(3, 2), det_tri(3, 2); // triangle of eyes and mouth
const double x_meanmouth =
(meanshape(L_CTopOfTopLip, IX) + meanshape(L_CBotOfBotLip, IX)) / 2.;
const double y_meanmouth =
(meanshape(L_CTopOfTopLip, IY) + meanshape(L_CBotOfBotLip, IY)) / 2.;
mean_tri(0, IX) = meanshape(L_LPupil, IX); // left eye
mean_tri(0, IY) = meanshape(L_LPupil, IY);
mean_tri(1, IX) = meanshape(L_RPupil, IX); // right eye
mean_tri(1, IY) = meanshape(L_RPupil, IY);
mean_tri(2, IX) = x_meanmouth; // mouth
mean_tri(2, IY) = y_meanmouth;
det_tri(0, IX) = detpar.lex; // left eye
det_tri(0, IY) = detpar.ley;
det_tri(1, IX) = detpar.rex; // right eye
det_tri(1, IY) = detpar.rey;
det_tri(2, IX) = detpar.mouthx; // mouth
det_tri(2, IY) = detpar.mouthy;
return AlignShape(meanshape, AlignmentMat(mean_tri, det_tri));
}