Merge pull request #24852 from Octopus136:4.x

Make \epsilon parameter accessible in VariationalRefinement #24852

Resolves #24847

I believe this is necessary to expose \epsilon parameter.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

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

@@ -564,6 +564,12 @@ public:
     /** @copybrief getGamma @see getGamma */
     CV_WRAP virtual void setGamma(float val) = 0;
 
+    /** @brief Norm value shift for robust penalizer
+    @see setEpsilon */
+    CV_WRAP virtual float getEpsilon() const = 0;
+    /** @copybrief getEpsilon @see getEpsilon */
+    CV_WRAP virtual void setEpsilon(float val) = 0;
+
     /** @brief Creates an instance of VariationalRefinement
     */
     CV_WRAP static Ptr<VariationalRefinement> create();
@@ -645,6 +651,12 @@ public:
     /** @copybrief getVariationalRefinementGamma @see getVariationalRefinementGamma */
     CV_WRAP virtual void setVariationalRefinementGamma(float val) = 0;
 
+    /** @brief Norm value shift for robust penalizer
+    @see setVariationalRefinementEpsilon */
+    CV_WRAP virtual float getVariationalRefinementEpsilon() const = 0;
+    /** @copybrief getVariationalRefinementEpsilon @see getVariationalRefinementEpsilon */
+    CV_WRAP virtual void setVariationalRefinementEpsilon(float val) = 0;
+
 
     /** @brief Whether to use mean-normalization of patches when computing patch distance. It is turned on
         by default as it typically provides a noticeable quality boost because of increased robustness to