#include pclfeaturesnormal_3dh

This is a header file for the PCL (Point Cloud Library) library that contains the implementation of the 3D normal estimation feature. The normal estimation is a common technique used in computer vision and robotics to estimate the orientation of a surface at a point in 3D space. The NormalEstimation class in this header file provides an implementation of this technique for point clouds, using the k-nearest neighbors algorithm to estimate the normal vector at each point. This information can be used for various tasks such as surface reconstruction, segmentation, and object recognition