Add ECC algorithm

Evangelidis, G.D. and Psarakis E.Z. "Parametric Image Alignment using Enhanced
Correlation Coefficient Maximization", IEEE Transactions on PAMI, vol. 32, no.
10, 2008

modules/video/include/opencv2/video/tracking.hpp

@@ -218,6 +218,24 @@ CVAPI(const CvMat*)  cvKalmanCorrect( CvKalman* kalman, const CvMat* measurement
 #define cvKalmanUpdateByTime  cvKalmanPredict
 #define cvKalmanUpdateByMeasurement cvKalmanCorrect
 
+
+/****************************************************************************************\
+*                                       Image Alignment (ECC algorithm)                  *
+\****************************************************************************************/
+enum
+{
+    MOTION_TRANSLATION,
+    MOTION_EUCLIDEAN,
+    MOTION_AFFINE,
+    MOTION_HOMOGRAPHY
+};
+
+/* Estimate the geometric transformation between 2 images (area-based alignment) */
+CVAPI(double)  cvFindTransformECC (const CvArr* templateImage, const CvArr* inputImage,
+                                   CvMat* warpMatrix,
+                                   const int motionType,
+                                   const CvTermCriteria criteria);
+
 #ifdef __cplusplus
 }
 
@@ -323,6 +341,21 @@ CV_EXPORTS_W void calcOpticalFlowFarneback( InputArray prev, InputArray next,
 CV_EXPORTS_W Mat estimateRigidTransform( InputArray src, InputArray dst,
                                          bool fullAffine);
 
+//! estimates the best-fit Translation, Euclidean, Affine or Perspective Transformation
+// with respect to Enhanced Correlation Coefficient criterion that maps one image to
+// another (area-based alignment)
+//
+// see reference:
+// Evangelidis, G. E., Psarakis, E.Z., Parametric Image Alignment using
+// Enhanced Correlation Coefficient Maximization, PAMI, 30(8), 2008
+
+CV_EXPORTS_W double findTransformECC(InputArray templateImage,
+                                     InputArray inputImage,
+                                     InputOutputArray warpMatrix,
+                                     int motionType=MOTION_AFFINE,
+                                     TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 50, 0.001));
+
+
 //! computes dense optical flow using Simple Flow algorithm
 CV_EXPORTS_W void calcOpticalFlowSF(InputArray from,
                                     InputArray to,