An image conversion model training method, a heterogeneous face recognition method, device and apparatus, wherein the heterogeneous face recognition method comprises the following steps: obtaining a face sketch map to be recognized, and cutting the face sketch map to be recognized to obtain a face region sketch map (S31); inputting the face region sketch into a pre-trained image conversion model for processing to generate a second face composite image (S32); performing feature extraction on the second face composite image to obtain a feature vector of the second face composite image (S33); and matching the feature vector of the second face composite image with the feature vectors of a plurality of real face images stored in a database to obtain a face recognition result (S34). In this way, the face region is cut from the face sketch map to be recognized, so as to reduce the interference of the background area on face recognition, and meanwhile, the preset image conversion model is adopted for image conversion, and the heterogeneous face recognition is converted into homogeneous face recognition, so as to improve the accuracy of heterogeneous face recognition.
IMAGE CONVERSION MODEL TRAINING METHOD, HETEROGENEOUS FACE RECOGNITION METHOD, DEVICE AND APPARATUS