False face representation identification

A computing device for identifying a false representation of a human face, the computing device comprising:

• one or more sensors configured to sense a candidate face;
• a false representation detection program executed by a processor of the computing device, the false representation detection program configured to:
• receive one or more data streams captured by the one or more sensors;
• in a plurality of stages that each comprises a different analysis, analyzing one or more of the data streams, wherein the plurality of stages comprises analyzing a plurality of image frames of the candidate face for changes in color that indicate blood flow in the candidate face;
• and
• based at least in part on identifying a lack of blood flow in the candidate face, outputting an indication of the false representation of the human face.

A method for identifying a false representation of a human face, the method comprising:

• receiving one or more data streams captured by one or more sensors sensing a candidate face;
• in a plurality of stages that each comprises a different analysis, analyzing one or more of the data streams, wherein the plurality of stages comprises determining whether a high frequency component loss in one or more of the data streams exceeds a predetermined loss threshold;
• and
• based at least in part on determining that the high frequency component loss in one or more of the data streams exceeds the predetermined loss threshold, outputting an indication of the false representation of the human face.