More tests for normals

[savuor]

This PR contains

• Tests for normals changes:
  • Random plane generation fixed (maxDepth issue, rendering issue, 32F to 16U transformation issue)
  • Different scale issue fixed, checked for all normal computers and all output data types
  • Rendered normals test added: calculated normals are compared to pre-rendered ones
  • RNG fixed to follow TS's RNG
  • Rewritten to parametric GTest
• Several fixes to normal computers:
  • no setMethod: use create static method instead
  • depth difference threshold for LINEMOD algorithm has been put into interface
• Fix for depthTo3d function for dense case with mask, test added
• CrossProduct - a new normal computer implementing the most naive way to calculate normals on a depth image, performing no filtering or any "smart" operations

Connected test data PR: https://github.com/opencv/opencv_extra/pull/991

TODO (next PRs):

• Implement 16U input support for all normal computers

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
• [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name.
• [x] The feature is well documented and sample code can be built with the project CMake

[asmorkalov]

Also please pay attention that test data patch is very large. It makes sense to reduce it.

[savuor]

Looks like the footprint size is calculated incorrectly: the diff between 5.x and the branch in opencv_extra includes files that are already merged to 5.x. It should be 1.7 MiB (I have no ideas on how to reduce it) while it shows something about 12 MiB. @alalek do you know why is that?