Measurement texture geometric feature reconstruction method based on photometric stereo

The invention discloses a measurement texture geometric feature reconstruction method based on photometric stereo. The method is characterized in that utilizing a realistic texture measuring device in a camera light source array mode to collect BTF data under different angle light sources and viewing angles; with measurement texture multi-view angle information being combined, optimizing a photometric stereo method and reconstructing normal information of the measurement texture; and reconstructing depth information of the measurement texture through a least square method in a measurement gradient field according to the normal information. More accurate normal information can be calculated when the input image sequence is influenced by non-Lamertian diffuse reflection parts of highlight and shadow and the like in the stage of calculating shadow information of the surface of the texture, and in the stage of calculating the depth information, influence of noise of the measurement gradient field on the depth is