Abstract: The body size parameters of sheep are the key indicators to assess the growth, performance and genetic characteristics. The reconstruction of the 3D model can provide data basis for automatic acquisition of various body size parameters for sheep. In this paper, a reconstruction method is designed for the 3D model of sheep based on multi-angle Kinect v2. By placing Kinect v2 devices on the top and both sides of the sheep, three-dimensional point cloud data of the sheep can be captured. Then, by utilizing the relative positional relationships between the point clouds in the data, coordinate transformation and initial alignment of the point clouds are performed. Finally, the Iterative Closest Point（ICP） algorithm is used for precise registration to establish the three-dimensional model. The results show that when the height of Kinect v2 depth camera is 120 cm and the overlooking angle is 30°, the quality of the obtained point cloud is higher. The average error of automatic registration is 0.233 cm, and the average time of automatic registration is 12.89 s. The average error of body size parameters such as body height, body oblique length, cross height and waist and foot width calculated by the model and the actual measurement are within 5%.