QR-Code detection: accuracy improvement (fixed)

- update optimal solutions on each iteration

js - cv.estimateAffine2D, cv.warpPolar

QR-Code detection: accuracy improvement

* first commit

* resize improvement

* resize improvement

* dummy commit

* warnings fix

* warnings fix

* warnings fix

* test added

* resize fix

* resize fix

* tests changed

* tests changed

* Added Rodrigues to the JS embindgen.py and a unittest in test_calib3d.js on 3.4 base

UBSAN violation expression: 'tab = tabR - x;'

This is useful for bidirectional LSTMs.

Fix computation of internal shapes in Deconvolution layer

* Fix computation of internal shapes

* Refactoring

to control CL_MEM_USE_HOST_PTR usage

[GSoC 2019] Improve the performance of JavaScript version of OpenCV (OpenCV.js)

* [GSoC 2019]

Improve the performance of JavaScript version of OpenCV (OpenCV.js):
1. Create the base of OpenCV.js performance test:
     This perf test is based on benchmark.js(https://benchmarkjs.com). And first add `cvtColor`, `Resize`, `Threshold` into it.
2. Optimize the OpenCV.js performance by WASM threads:
     This optimization is based on Web Worker API and SharedArrayBuffer, so it can be only used in browser.
3. Optimize the OpenCV.js performance by WASM SIMD:
     Add WASM SIMD backend for OpenCV Universal Intrinsics. It's experimental as WASM SIMD is still in development.

* [GSoC2019] 

1. use short license header
2. fix documentation node issue
3. remove the unused `hasSIMD128()` api

* [GSoC2019]

1. fix emscripten define
2. use fallback function for f16

* [GSoC2019]

Fix rebase issue

ea3dc789
https://github.com/opencv/opencv_contrib/commit/83fc27cb99db4435d07974090fbdc77d831931cd