To analyze the precision of the integrated 3D point cloud reverse modeling （IPCRM） method in generating three-dimensional models of thin-thickness steel members， locally deformed angle steels are taken as the research objects. Three-dimensional point cloud models of locally deformed angle steels are established using the SfM （structure from motion）-MVS （multi-view stereo） algorithm， and the surface models of locally deformed angle steels are generated with the help of reverse engineering technology. Special attention is placed on model precision verification experiments. The results show that： the relative errors of all surface shape characteristic parameters are within 8% confirming the conformity of the models； there is no significant difference between the four angle steel models and the actual angle steels （P value， P=0.99）， and angle steel thickness has no significant influence on model precision （P value， P=0.95）. These conclusions hold at a 95% confidence level （significance verification）. The research results provide a basis for subsequent algorithm optimization and the rational use of this method for local deformation damage detection and bearing performance evaluation of steel members.