Siamese reconstruction convolutional neural network for pose-invariant face recognition

A computer program product for pose-invariant facial recognition, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:

• generating, by a processor using a recognition neural network, a rich feature embedding for each of one or more images, wherein the rich feature embedding constitutes both identify information and non-identity information;
• generating, by the processor using a Siamese reconstruction network, one or more pose-invariant features by employing the rich feature embedding for identity information and non-identity information;
• identifying, by the processor, a user by employing the one or more pose-invariant features;
• and
• controlling an operation of a processor-based machine to change a state of the processor-based machine, responsive to the identified user in the one or more images.

A pose-invariant facial recognition system, comprising:

• a processor configured to:
• generate, using a recognition neural network, a rich feature embedding for each of one or more images, wherein the rich feature embedding constitutes both identify information and non-identity information;
• generate, using a Siamese reconstruction network, one or more pose-invariant features by employing the rich feature embedding for identity information and non-identity information;
• identify a user by employing the one or more pose-invariant features;
• and
• control an operation of a processor-based machine to change a state of the processor-based machine, responsive to the identified user in the one or more images.