Merge branch 4.x

doc/opencv.bib

@@ -1220,7 +1220,7 @@
   title={RANSAC for Dummies With examples using the RANSAC toolbox for Matlab \& Octave and more...},
   author={Marco Zuliani},
   year={2014},
-  url = {https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.475.1243&rep=rep1&type=pdf}
+  url = {http://www.marcozuliani.com/docs/RANSAC4Dummies.pdf}
 }
 @inproceedings{forstner1987fast,
   title={A fast operator for detection and precise location of distincs points, corners and center of circular features},

doc/tutorials/imgproc/imgtrans/remap/remap.markdown

@@ -45,7 +45,7 @@ Theory
 
     ![](images/Remap_Tutorial_Theory_0.jpg)
 
-    observe how the red circle changes positions with respect to x (considering \f$x\f$ the horizontal
+    observe how the red circle changes positions with respect to \f$x\f$ (considering \f$x\f$ the horizontal
     direction):
 
     ![](images/Remap_Tutorial_Theory_1.jpg)
@@ -62,19 +62,19 @@ Code
     -   Wait for the user to exit the program
 
 @add_toggle_cpp
--   The tutorial code's is shown lines below. You can also download it from
+-   The tutorial code is shown lines below. You can also download it from
     [here](https://github.com/opencv/opencv/tree/5.x/samples/cpp/tutorial_code/ImgTrans/Remap_Demo.cpp)
     @include samples/cpp/tutorial_code/ImgTrans/Remap_Demo.cpp
 @end_toggle
 
 @add_toggle_java
--   The tutorial code's is shown lines below. You can also download it from
+-   The tutorial code is shown lines below. You can also download it from
     [here](https://github.com/opencv/opencv/tree/5.x/samples/java/tutorial_code/ImgTrans/remap/RemapDemo.java)
     @include samples/java/tutorial_code/ImgTrans/remap/RemapDemo.java
 @end_toggle
 
 @add_toggle_python
--   The tutorial code's is shown lines below. You can also download it from
+-   The tutorial code is shown lines below. You can also download it from
     [here](https://github.com/opencv/opencv/tree/5.x/samples/python/tutorial_code/ImgTrans/remap/Remap_Demo.py)
     @include samples/python/tutorial_code/ImgTrans/remap/Remap_Demo.py
 @end_toggle

doc/tutorials/imgproc/imgtrans/warp_affine/warp_affine.markdown

@@ -72,7 +72,7 @@ Theory
 
 -#  We mentioned that an Affine Transformation is basically a **relation**
     between two images. The information about this relation can come, roughly, in two ways:
-    -#  We know both \f$X\f$ and T and we also know that they are related. Then our task is to find \f$M\f$
+    -#  We know both \f$X\f$ and \f$T\f$ and we also know that they are related. Then our task is to find \f$M\f$
     -#  We know \f$M\f$ and \f$X\f$. To obtain \f$T\f$ we only need to apply \f$T = M \cdot X\f$. Our information
         for \f$M\f$ may be explicit (i.e. have the 2-by-3 matrix) or it can come as a geometric relation
         between points.

doc/tutorials/introduction/config_reference/config_reference.markdown

@@ -586,7 +586,6 @@ Following options can be used to change installation layout for common scenarios
 | `BUILD_JAVA` | _ON_ | Enable Java wrappers build. Java SDK and Ant must be installed. |
 | `BUILD_FAT_JAVA_LIB` | _ON_ (for static Android builds) | Build single _opencv_java_ dynamic library containing all library functionality bundled with Java bindings. |
 | `BUILD_opencv_python3` | _ON_ | Build python3 bindings. Python with development files and numpy must be installed. |
-| `CAROTENE_NEON_ARCH` | '(auto)' | Switch NEON Arch for Carotene. If it sets nothing, it will be auto-detected. If it sets 8, ARMv8(and later) is used. Otherwise, ARMv7 is used. |
 
 TODO: need separate tutorials covering bindings builds