The invention discloses a
point cloud fusion method for three-dimensional reconstruction of a
human body, and the method comprises the steps: carrying out the three-dimensional data collection of thehuman body standing on a turntable through employing a fixed Kinect device, obtaining the
point cloud data of a plurality of angles of the
human body, carrying out the rotation of the
point cloud of each angle through employing the center of gravity of the point cloud as a rotation center, and obtaining the point
cloud data of a unified coordinate
system; calculating the normal vector and the umbrella curvature of each point in each point cloud to obtain a point cloud feature; and finally, carrying out matching fusion on the point
cloud data at multiple angles according to the
point data information of the same point cloud characteristics in the point clouds at different angles by adopting an ICP
algorithm based on a bidirectional KD tree. According to the invention, an umbrella-shaped
algorithm is adopted to calculate the point cloud curvature; the point cloud is registered by adopting a bidirectional KD tree method, so that the accuracy of feature point extraction is improved, accurate data is provided for initial iteration data of point cloud fusion, and accurate
feature matching data is provided for point cloud fusion, so that a better
human body three-dimensional reconstruction effect can be obtained, and the sense of reality of
human body modeling is improved.