/*
// Computation of the root filter displacement and values of score function
//
// API
// int searchObjectThreshold(const featurePyramid *H,
const filterObject **all_F, int n,
float b,
int maxXBorder, int maxYBorder,
float scoreThreshold,
CvPoint **points, int **levels, int *kPoints,
float **score, CvPoint ***partsDisplacement);
// INPUT
// H - feature pyramid
// all_F - the set of filters (the first element is root filter,
other elements - part filters)
// n - the number of part filters
// b - linear term of the score function
// maxXBorder - the largest root filter size (X-direction)
// maxYBorder - the largest root filter size (Y-direction)
// scoreThreshold - score threshold
// OUTPUT
// points - positions (x, y) of the upper-left corner
of root filter frame
// levels - levels that correspond to each position
// kPoints - number of positions
// score - values of the score function
// partsDisplacement - part filters displacement for each position
of the root filter
// RESULT
// Error status
*/
int searchObjectThreshold(const CvLSVMFeaturePyramid *H,
const CvLSVMFilterObject **all_F, int n,
float b,
int maxXBorder, int maxYBorder,
float scoreThreshold,
CvPoint **points, int **levels, int *kPoints,
float **score, CvPoint ***partsDisplacement)
{
int opResult;
// Matching
opResult = thresholdFunctionalScore(all_F, n, H, b,
maxXBorder, maxYBorder,
scoreThreshold,
score, points, levels,
kPoints, partsDisplacement);
if (opResult != LATENT_SVM_OK)
{
return LATENT_SVM_SEARCH_OBJECT_FAILED;
}
// Transformation filter displacement from the block space
// to the space of pixels at the initial image
// that settles at the level number LAMBDA
convertPoints(H->countLevel, H->lambda, LAMBDA, (*points),
(*levels), (*partsDisplacement), (*kPoints), n,
maxXBorder, maxYBorder);
return LATENT_SVM_OK;
}
/*
// Computation of the root filter displacement and values of score function
//
// API
// int searchObjectThreshold(const featurePyramid *H,
const filterObject **all_F, int n,
float b,
int maxXBorder, int maxYBorder,
float scoreThreshold,
CvPoint **points, int **levels, int *kPoints,
float **score, CvPoint ***partsDisplacement);
// INPUT
// H - feature pyramid
// all_F - the set of filters (the first element is root filter,
other elements - part filters)
// n - the number of part filters
// b - linear term of the score function
// maxXBorder - the largest root filter size (X-direction)
// maxYBorder - the largest root filter size (Y-direction)
// scoreThreshold - score threshold
// OUTPUT
// points - positions (x, y) of the upper-left corner
of root filter frame
// levels - levels that correspond to each position
// kPoints - number of positions
// score - values of the score function
// partsDisplacement - part filters displacement for each position
of the root filter
// RESULT
// Error status
*/
int searchObjectThreshold(const CvLSVMFeaturePyramid *H,
const CvLSVMFilterObject **all_F, int n,
float b,
int maxXBorder, int maxYBorder,
float scoreThreshold,
CvPoint **points, int **levels, int *kPoints,
float **score, CvPoint ***partsDisplacement,
int numThreads)
{
int opResult;
// Matching
#ifdef HAVE_TBB
if (numThreads <= 0)
{
opResult = LATENT_SVM_TBB_NUMTHREADS_NOT_CORRECT;
return opResult;
}
opResult = tbbThresholdFunctionalScore(all_F, n, H, b, maxXBorder, maxYBorder,
scoreThreshold, numThreads, score,
points, levels, kPoints,
partsDisplacement);
#else
opResult = thresholdFunctionalScore(all_F, n, H, b,
maxXBorder, maxYBorder,
scoreThreshold,
score, points, levels,
kPoints, partsDisplacement);
(void)numThreads;
#endif
if (opResult != LATENT_SVM_OK)
{
return LATENT_SVM_SEARCH_OBJECT_FAILED;
}
// Transformation filter displacement from the block space
// to the space of pixels at the initial image
// that settles at the level number LAMBDA
convertPoints(H->numLevels, LAMBDA, LAMBDA, (*points),
(*levels), (*partsDisplacement), (*kPoints), n,
maxXBorder, maxYBorder);
return LATENT_SVM_OK;
}
