public static List <MatchFactor> CreateBearMatchFactorsOld(DarwinDatabase database)
{
var matchFactors = new List <MatchFactor>();
var controlPoints = new List <FeaturePointType>()
{
FeaturePointType.Nasion,
FeaturePointType.Tip,
FeaturePointType.PointOfInflection
};
var benchmarkFeatures = new List <FeaturePointType>()
{
FeaturePointType.Nasion,
FeaturePointType.Tip
//FeaturePointType.Tip,
//FeaturePointType.Notch
};
var landmarkFeatures = new List <FeaturePointType>()
{
//FeaturePointType.LeadingEdgeBegin,
FeaturePointType.Tip,
FeaturePointType.Nasion,
FeaturePointType.Notch,
FeaturePointType.UpperLip,
FeaturePointType.PointOfInflection
};
matchFactors.Add(MatchFactor.CreateOutlineFactor(
0.6f,
controlPoints,
//OutlineErrorFunctions.MeanSquaredErrorBetweenOutlinesWithControlPoints,
OutlineErrorFunctions.MeanSquaredErrorBetweenOutlineSegments,
OutlineErrorFunctions.FindErrorBetweenOutlinesWithControlPointJitter,
new OutlineMatchOptions
{
MoveTip = true,
MoveEndsInAndOut = false,
UseFullFinError = true
}));
matchFactors.Add(MatchFactor.CreateFeaturePointFactor(
0.4f,
benchmarkFeatures,
landmarkFeatures,
5, // Number of desired ratios
database.AllFins,
//FeaturePointErrorFunctions.ComputeEigenValueWeightedCosineDistance,
FeaturePointErrorFunctions.ComputeMahalanobisDistance,
new FeatureSetMatchOptions
{
UseRemappedOutline = false
}));
return(matchFactors);
}
public static List <MatchFactor> CreateBearMatchFactors(DarwinDatabase database)
{
var matchFactors = new List <MatchFactor>();
var controlPoints = new List <FeaturePointType>()
{
FeaturePointType.Nasion,
FeaturePointType.Tip,
FeaturePointType.PointOfInflection,
// Our alternate control point to also try a mapping on
FeaturePointType.BottomLipProtrusion
};
matchFactors.Add(MatchFactor.CreateOutlineFactor(
0.55f,
controlPoints,
//OutlineErrorFunctions.MeanSquaredErrorBetweenOutlinesWithControlPoints,
OutlineErrorFunctions.MeanSquaredErrorBetweenOutlineSegments,
OutlineErrorFunctions.FindErrorBetweenOutlinesWithControlPointJitter,
new OutlineMatchOptions
{
MoveTip = true,
MoveEndsInAndOut = false,
UseFullFinError = true,
JumpDistancePercentage = 0.01f,
TrimBeginLeadingEdge = true,
// Also need to make sure there are 4 control points passed in if this is true
TryAlternateControlPoint3 = false
}));
matchFactors.Add(MatchFactor.CreateFeatureFactor(
0.1f,
FeatureErrorFunctions.ComputeCurvatureError,
FeatureType.BrowCurvature));
matchFactors.Add(MatchFactor.CreateFeatureFactor(
0.05f,
FeatureErrorFunctions.ComputeMouthDentError,
FeatureType.HasMouthDent));
var benchmarkFeatures = new List <FeaturePointType>()
{
//FeaturePointType.Nasion,
//FeaturePointType.Tip
FeaturePointType.Tip,
FeaturePointType.Notch
};
var landmarkFeatures = new List <FeaturePointType>()
{
//FeaturePointType.LeadingEdgeBegin,
FeaturePointType.Tip,
FeaturePointType.Nasion,
FeaturePointType.Notch,
FeaturePointType.UpperLip,
FeaturePointType.PointOfInflection
};
matchFactors.Add(MatchFactor.CreateFeaturePointFactor(
0.35f,
benchmarkFeatures,
landmarkFeatures,
// Pass in a specific set of ratios. If not passed, it'll automatically
// compute the ratio permutations of all the landmarks we pass in.
//GetVerticalFeaturePointCombinations(),
5, // Number of desired ratios
database.AllFins,
//FeaturePointErrorFunctions.ComputeEigenValueWeightedCosineDistance,
FeaturePointErrorFunctions.ComputeMahalanobisDistance,
// The option below will compare after using the lowest error mapping
// from the outline error function above, assuming there's an outline error
// function before this.
new FeatureSetMatchOptions
{
UseRemappedOutline = false
}));
return(matchFactors);
}
public static List <MatchFactor> CreateBearMatchFactorsOld2(DarwinDatabase database)
{
var matchFactors = new List <MatchFactor>();
var controlPoints = new List <FeaturePointType>()
{
FeaturePointType.Nasion,
FeaturePointType.Tip,
FeaturePointType.PointOfInflection,
// Our alternate control point to also try a mapping on
FeaturePointType.BottomLipProtrusion
};
matchFactors.Add(MatchFactor.CreateOutlineFactor(
0.55f,
controlPoints,
//OutlineErrorFunctions.MeanSquaredErrorBetweenOutlinesWithControlPoints,
OutlineErrorFunctions.MeanSquaredErrorBetweenOutlineSegments,
OutlineErrorFunctions.FindErrorBetweenOutlinesWithControlPointJitter,
new OutlineMatchOptions
{
MoveTip = true,
MoveEndsInAndOut = false,
UseFullFinError = true,
JumpDistancePercentage = 0.01f,
TrimBeginLeadingEdge = true,
TryAlternateControlPoint3 = true
}));
matchFactors.Add(MatchFactor.CreateFeatureFactor(
0.1f,
FeatureErrorFunctions.ComputeCurvatureError,
FeatureType.BrowCurvature));
matchFactors.Add(MatchFactor.CreateFeatureFactor(
0.05f,
FeatureErrorFunctions.ComputeMouthDentError,
FeatureType.HasMouthDent));
var benchmarkFeatures = new List <FeaturePointType>()
{
FeaturePointType.Nasion,
FeaturePointType.Tip
//FeaturePointType.Tip,
//FeaturePointType.Notch
};
var landmarkFeatures = new List <FeaturePointType>()
{
//FeaturePointType.LeadingEdgeBegin,
FeaturePointType.Tip,
FeaturePointType.Nasion,
FeaturePointType.Notch,
FeaturePointType.UpperLip,
FeaturePointType.PointOfInflection
};
matchFactors.Add(MatchFactor.CreateFeaturePointFactor(
0.35f,
benchmarkFeatures,
landmarkFeatures,
5, // Number of desired ratios
database.AllFins,
//FeaturePointErrorFunctions.ComputeEigenValueWeightedCosineDistance,
FeaturePointErrorFunctions.ComputeMahalanobisDistance,
new FeatureSetMatchOptions
{
UseRemappedOutline = false
}));
return(matchFactors);
}
public void SetMatchOptions(
RegistrationMethodType registrationMethod,
bool useFullFinError)
{
MatchFactors = new List <MatchFactor>();
// TODO: Move this elsewhere, change for Fins/Bears?
var controlPoints = new List <FeaturePointType> {
FeaturePointType.LeadingEdgeBegin, FeaturePointType.Tip, FeaturePointType.PointOfInflection
};
switch (registrationMethod)
{
case RegistrationMethodType.Original3Point:
// use beginning of leading edge, tip and largest trailing notch
// to map unknown outline to database outline, and then use
// version of meanSqError... that trims leading and trailing
// edge points to equalize number of points on each contour,
// and finally compute error between "corresponding" pairs of
// mapped points
MatchFactors.Add(MatchFactor.CreateOutlineFactor(
1.0f,
controlPoints,
OutlineErrorFunctions.MeanSquaredErrorBetweenOutlineSegments,
OutlineErrorFunctions.FindErrorBetweenFins_Original3Point,
_updateOutlines));
break;
case RegistrationMethodType.TrimFixedPercent:
// use a series of calls to meanSqError..., each with different amounts
// of the leading edge of each fin "ignored" in order to find the BEST
// choice of "leading edge beginning point" correspondence. This prevents
// "bulging" of outlines due to long or short placement of the
// beginning of the trace. Also, the version of meanSqError... used
// is one that walks the unknown fin outline point by point, and
// computes the "closest point" on the database outline by finding
// the intersection of a perpendicular from the unknown outline point.
// This helps minimize errors due to nonuniform point spacing created
// during the mapping process.
MatchFactors.Add(MatchFactor.CreateOutlineFactor(
1.0f,
controlPoints,
OutlineErrorFunctions.MeanSquaredErrorBetweenOutlineSegments,
OutlineErrorFunctions.FindErrorBetweenFins,
_updateOutlines));
break;
/*removed - JHS
* case TRIM_OPTIMAL :
* // use an optimization process (essentially Newton-Raphson) to
* // shorten the leading edges of each fin to produce a correspondence
* // that yeilds the BEST match. A fin Outline walking approach
* // is used to conpute the meanSqError....
* result = Match::findErrorBetweenFinsJHS(
* thisDBFin, timeTaken, regSegmentsUsed,
* useFullFinError);
* break;
*/
case RegistrationMethodType.TrimOptimalTotal:
// use an optimization process (essentially Newton-Raphson) to
// shorten the leading AND trailing edges of each fin to produce a correspondence
// that yeilds the BEST match. A fin Outline walking approach
// is used to compute the meanSqError....
MatchFactors.Add(MatchFactor.CreateOutlineFactor(
1.0f,
controlPoints,
OutlineErrorFunctions.MeanSquaredErrorBetweenOutlineSegments,
OutlineErrorFunctions.FindErrorBetweenFinsOptimal,
_updateOutlines,
new OutlineMatchOptions
{
MoveTip = false,
MoveEndsInAndOut = false,
UseFullFinError = useFullFinError
}));
break;
case RegistrationMethodType.TrimOptimalTip:
MatchFactors.Add(MatchFactor.CreateOutlineFactor(
1.0f,
controlPoints,
OutlineErrorFunctions.MeanSquaredErrorBetweenOutlineSegments,
OutlineErrorFunctions.FindErrorBetweenFinsOptimal,
_updateOutlines,
new OutlineMatchOptions
{
MoveTip = true,
MoveEndsInAndOut = false,
UseFullFinError = useFullFinError
}));
break;
case RegistrationMethodType.TrimOptimalArea: //***1.85 - new area based metric option
MatchFactors.Add(MatchFactor.CreateOutlineFactor(
1.0f,
controlPoints,
OutlineErrorFunctions.AreaBasedErrorBetweenOutlineSegments,
OutlineErrorFunctions.FindErrorBetweenFinsOptimal,
_updateOutlines,
new OutlineMatchOptions
{
MoveTip = true,
MoveEndsInAndOut = false,
UseFullFinError = useFullFinError
}));
break;
case RegistrationMethodType.TrimOptimalInOut:
case RegistrationMethodType.TrimOptimalInOutTip:
default:
throw new NotImplementedException();
}
CheckUnknownForRequiredFeatures();
}
