Abstract: The operational safety and performance of gas turbine is closely related to the health status of its components. Generally, the status of gas turbine components can be evaluated by the morphological characters, such as size, shape, color, etc. Therefore, the method of feature extraction, especially the three- dimensional (3D) feature extraction, has become a key technology for component health status assessment. The existing computer vision based on 3D reconstruction algorithms was reviewed. After that, the research status and development directions of the 3D reconstruction in the gas turbine industry were discussed. In the end, the reconstruction results of a turbine blade using the shape from shading (SFS) algorithm and the Mvsnet were presented and compared.