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The traditional manual measurement to get the animal growth parameters is high workload, low precision, stress and other issues. For these problems, 120-day-old Landrace samples were chosen for the study, and then got the point cloud data of the pig through the three-dimensional laser scanner, based on the triangulation principle to calculate three-dimensional coordinates of the target point. By Polygon Editing Tool Vel. 2.40 software, the point cloud data were preprocessed, and then the three-dimensional surface model of pig body was reconstructed based on triangulated irregular network. Then the parameters were extracted for pig body length, body width, hip width, height, hip height, chest measurement, body surface area, volume and so on. The results indicated that the 272021 pig point data were acquired by three-dimensional laser scanner, and pig three-dimensional surface was reconstructed by 544042 polygons. By error test method, the detection values by the three-dimensional model and measured values of the body parameter were compared. The regression analysis showed that there was high detection precision in body length, width, hip width, height, hip height, chest and other body parameters. The maximum relative error was only 0.42%, and the average relative error was 0.17%. Using the point cloud data of pig and three-dimensional surface of pig to estimation the shape parameters has high precision and can reduce the workload and give no stress in pigs. It can provide high-precision body size data for estimation model of pig body weight, and technical reference for the other parameters of animal body. 