Live human face detection method and apparatus, computer device, and storage medium

A live human face detection apparatus, at least one memory, and at least one processor, the at least one memory having a computer program stored therein, the at least one processor, when executing the computer program, implementing:

• obtaining an image frame comprising a human face of a target object to be detected, the image frame being obtained by a human face capturing device through image capturing on the human face of the target object in a distance changing process during which a distance between the human face capturing device and the human face of the target object is changed;
• obtaining texture information and deformation information corresponding to the human face in the image frame;
• performing feature extraction on the texture information through a live human face detection model, to obtain a texture feature, and performing feature extraction on the deformation information through the live human face detection model, to obtain a deformation feature;
• concatenating the texture feature and the deformation feature, to obtain a concatenated feature, and outputting a live human face prediction score through the live human face detection model based on the concatenated feature;
• and
• determining that the human face in the image frame is a live human face in response to that the live human face prediction score is greater than or equal to a live human face threshold.

A non-transitory computer-readable storage medium, having a computer program stored therein, the computer program, when executed by a processor, implementing:

• obtaining an image frame comprising a human face of a target object to be detected, the image frame being obtained by a human face capturing device through image capturing on the human face of the target object in a distance changing process during which a distance between the human face capturing device and the human face of the target object is changed;
• obtaining texture information and deformation information corresponding to the human face in the image frame;
• performing feature extraction on the texture information through a live human face detection model, to obtain a texture feature, and performing feature extraction on the deformation information through the live human face detection model, to obtain a deformation feature;
• concatenating the texture feature and the deformation feature, to obtain a concatenated feature, and outputting a live human face prediction score through the live human face detection model based on the concatenated feature;
• and
• determining that the human face in the image frame is a live human face in response to that the live human face prediction score is greater than or equal to a live human face threshold.