Facial recognition method and device

A facial recognition device, comprising a processor and a memory, wherein the memory is configured to store program instructions, and the processor is configured to:

• obtain a first face image and a second face image, wherein the first face image is a current face image obtained by a camera, and the second face image is a stored reference face image;
• determine whether a modality of the first face image is the same as a modality of the second face image;
• when the modality of the first face image is different from that of the second face image, separately map the first face image and the second face image to a cross-modal space to obtain a first sparse facial feature of the first face image in the cross-modal space and a second sparse facial feature of the second face image in the cross-modal space, where the cross-modal space is a color space in which both a feature of the first face image and a feature of the second face image may be represented;
• and
• perform facial recognition on the first face image based on the first sparse facial feature and the second sparse facial feature.

A non-transitory computer-readable storage medium, comprising a program, wherein when being executed by a processor, the following steps are performed:

• obtaining a first face image and a second face image, wherein the first face image is a current face image obtained by a camera, and the second face image is a stored reference face image;
• determining whether a modality of the first face image is the same as a modality of the second face image;
• when the modality of the first face image is different from that of the second face image, separately mapping the first face image and the second face image to a cross-modal space, to obtain a first sparse facial feature of the first face image in the cross-modal space and a second sparse facial feature of the second face image in the cross-modal space, where the cross-modal space is a color space in which both a feature of the first face image and a feature of the second face image may be represented;
• and
• performing facial recognition on the first face image based on the first sparse facial feature and the second sparse facial feature.