// modify cvCvtSeqToArray to take CvArr as input instead of raw data
CvArr * cvCvtSeqToArray_Shadow( const CvSeq* seq, CvArr * elements, CvSlice slice=CV_WHOLE_SEQ);
-// formally overload ArcLength and cvContourPerimeter
-double cvArcLength_Shadow( const CvSeq * seq, CvSlice slice=CV_WHOLE_SEQ, int is_closed=-1);
-double cvArcLength_Shadow( const CvArr * arr, CvSlice slice=CV_WHOLE_SEQ, int is_closed=-1);
-
-// cvContourPerimeter is a macro, but this still works
-static double cvContourPerimeter_Shadow(CvSeq * seq){ return cvContourPerimeter( seq ); }
-static double cvContourPerimeter_Shadow(CvArr * arr){ return cvContourPerimeter( arr ); }
-
// Return a typed sequence instead of generic CvSeq
CvTypedSeq<CvRect> * cvHaarDetectObjects_Shadow( const CvArr* image, CvHaarClassifierCascade* cascade,
CvMemStorage* storage, double scale_factor=1.1, int min_neighbors=3, int flags=0,
int method, double parameter, int parameter2=0);
// Always return a new Mat of indices
-CvMat * cvConvexHull2_Shadow( const CvArr * points, int orientation=CV_CLOCKWISE,
+CvMat * cvConvexHull2_Shadow( const CvArr * points, int orientation=CV_CLOCKWISE,
int return_points=0);
std::vector<CvPoint> cvSnakeImage_Shadow( const CvMat * image, std::vector<CvPoint> points,
- std::vector<float> alpha, std::vector<float> beta, std::vector<float> gamma,
+ std::vector<float> alpha, std::vector<float> beta, std::vector<float> gamma,
CvSize win, CvTermCriteria criteria, int calc_gradient=1 );
#endif