diff --git a/modules/imgproc/src/smooth.cpp b/modules/imgproc/src/smooth.cpp
index 5ab70d9a26..2a69003641 100644
--- a/modules/imgproc/src/smooth.cpp
+++ b/modules/imgproc/src/smooth.cpp
@@ -1497,7 +1497,9 @@ void cv::GaussianBlur( InputArray _src, OutputArray _dst, Size ksize,
     }
 
 #ifdef HAVE_TEGRA_OPTIMIZATION
-    if(sigma1 == 0 && sigma2 == 0 && tegra::gaussian(_src.getMat(), _dst.getMat(), ksize, borderType))
+    Mat src = _src.getMat();
+    Mat dst = _dst.getMat();
+    if(sigma1 == 0 && sigma2 == 0 && tegra::gaussian(src, dst, ksize, borderType))
         return;
 #endif
 
diff --git a/modules/objdetect/src/cascadedetect.cpp b/modules/objdetect/src/cascadedetect.cpp
index 6ddc0c878f..841cfa2725 100644
--- a/modules/objdetect/src/cascadedetect.cpp
+++ b/modules/objdetect/src/cascadedetect.cpp
@@ -931,7 +931,7 @@ Ptr<CascadeClassifierImpl::MaskGenerator> CascadeClassifierImpl::getMaskGenerato
 Ptr<BaseCascadeClassifier::MaskGenerator> createFaceDetectionMaskGenerator()
 {
 #ifdef HAVE_TEGRA_OPTIMIZATION
-    return tegra::getCascadeClassifierMaskGenerator(*this);
+    return tegra::getCascadeClassifierMaskGenerator();
 #else
     return Ptr<BaseCascadeClassifier::MaskGenerator>();
 #endif
diff --git a/modules/objdetect/src/cascadedetect.hpp b/modules/objdetect/src/cascadedetect.hpp
index 17eeccd53b..4cbf3e9bf0 100644
--- a/modules/objdetect/src/cascadedetect.hpp
+++ b/modules/objdetect/src/cascadedetect.hpp
@@ -1,5 +1,7 @@
 #pragma once
 
+#include "opencv2/core/ocl.hpp"
+
 namespace cv
 {
 
diff --git a/modules/stitching/src/blenders.cpp b/modules/stitching/src/blenders.cpp
index c36e6877bc..015ceb025f 100644
--- a/modules/stitching/src/blenders.cpp
+++ b/modules/stitching/src/blenders.cpp
@@ -476,7 +476,11 @@ static bool ocl_normalizeUsingWeightMap(InputArray _weight, InputOutputArray _ma
 
 void normalizeUsingWeightMap(InputArray _weight, InputOutputArray _src)
 {
+    Mat src;
+    Mat weight;
 #ifdef HAVE_TEGRA_OPTIMIZATION
+    src = _src.getMat();
+    weight = _weight.getMat();
     if(tegra::normalizeUsingWeightMap(weight, src))
         return;
 #endif
@@ -486,12 +490,12 @@ void normalizeUsingWeightMap(InputArray _weight, InputOutputArray _src)
             !ocl_normalizeUsingWeightMap(_weight, _src) )
 #endif
     {
-        Mat weight = _weight.getMat();
-        Mat src = _src.getMat();
+        src = _src.getMat();
+        weight = _weight.getMat();
 
         CV_Assert(src.type() == CV_16SC3);
 
-        if(weight.type() == CV_32FC1)
+        if (weight.type() == CV_32FC1)
         {
             for (int y = 0; y < src.rows; ++y)
             {
@@ -547,7 +551,8 @@ void createWeightMap(InputArray mask, float sharpness, InputOutputArray weight)
 void createLaplacePyr(InputArray img, int num_levels, std::vector<UMat> &pyr)
 {
 #ifdef HAVE_TEGRA_OPTIMIZATION
-    if(tegra::createLaplacePyr(img, num_levels, pyr))
+    cv::Mat imgMat = img.getMat();
+    if(tegra::createLaplacePyr(imgMat, num_levels, pyr))
         return;
 #endif