JavaCV code proves syntactically cleaner and more true to the native C++/Python style given in the OpenCV documentation. C++ modules that OpenCV has not yet wrapped for Java are also included in JavaCV.
Crucially, JavaCV has gone where stock Java OpenCV hasn't and wrapped Transparent API, which is useful for instantiating UMats through OpenCL that play nicely with OpenCV's Mat methods. This takes advantage of GPU hardware acceleration (as opposed to Mats which are CPU-bound) and can speed up processes by orders of magnitude. In the case of image alignment on a stack of 20MP+ images, this kind of speed is imperative.
JavaCV code proves syntactically cleaner and more true to the native C++/Python style given in the OpenCV documentation. C++ modules that OpenCV has not yet wrapped for Java are also included in JavaCV.
Crucially, JavaCV has gone where stock Java OpenCV hasn't and wrapped Transparent API, which is useful for instantiating UMats through OpenCL that play nicely with OpenCV's Mat methods. This takes advantage of GPU hardware acceleration (as opposed to Mats which are CPU-bound) and can speed up processes by orders of magnitude. In the case of image alignment on a stack of 20MP+ images, this kind of speed is imperative.