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.