Purpose: updated the core chapter

modules/gpu/doc/camera_calibration_and_3d_reconstruction.rst

@@ -146,7 +146,9 @@ This class computes stereo correspondence using the belief propagation algorithm
 
 The class implements Pedro F. Felzenszwalb algorithm [Pedro F. Felzenszwalb and Daniel P. Huttenlocher. Efficient belief propagation for early vision. International Journal of Computer Vision, 70(1), October 2006]. It can compute own data cost (using a truncated linear model) or use a user-provided data cost.
 
-**Note:** ``StereoBeliefPropagation`` requires a lot of memory for message storage:
+**Note:**
+
+ ``StereoBeliefPropagation`` requires a lot of memory for message storage:
 
 .. math::
 

modules/gpu/doc/introduction.rst

@@ -6,7 +6,7 @@ GPU Module Introduction
 General Information
 -------------------
 
-The OpenCV GPU module is a set of classes and functions to utilize GPU computational capabilities. It is implemented using NVIDIA* CUDA Runtime API and supports only NVIDIA GPUs. The OpenCV GPU module includes utility functions, low-level vision primitives, and high-level algorithms. The utility functions and low-level primitives provide a powerful infrastructure for developing fast vision algorithms taking advantage of GPU whereas the high-level functionality includes some state-of-the-art algorithms (such as stereo correspondence, face and people detectors, and others), ready to be used by the application developers.
+The OpenCV GPU module is a set of classes and functions to utilize GPU computational capabilities. It is implemented using NVIDIA* CUDA* Runtime API and supports only NVIDIA GPUs. The OpenCV GPU module includes utility functions, low-level vision primitives, and high-level algorithms. The utility functions and low-level primitives provide a powerful infrastructure for developing fast vision algorithms taking advantage of GPU whereas the high-level functionality includes some state-of-the-art algorithms (such as stereo correspondence, face and people detectors, and others), ready to be used by the application developers.
 
 The GPU module is designed as a host-level API. This means that if you have pre-compiled OpenCV GPU binaries, you are not required to have the CUDA Toolkit installed or write any extra code to make use of the GPU.