New technology is addressing this challenge. 3D provides a live, moving variable subject being compared to a flat, stable image. However, there is a challenge currently facing databases that are still in 2D images.
If the image is 3D and the database contains 3D images, then matching will take place without any changes being made to the image. This coding gives each template a set of numbers to represent the features on a subject's face. The system translates the template into a unique code. The system then measures the curves of the face on a sub-millimeter (or microwave) scale and creates a template. As stated earlier, the subject has the potential to be recognized up to 90 degrees, while with 2D, the head must be turned at least 35 degrees toward the camera. Once it detects a face, the system determines the head's position, size and pose. DetectionĪcquiring an image can be accomplished by digitally scanning an existing photograph (2D) or by using a video image to acquire a live picture of a subject (3D). Using the 3D software, the system goes through a series of steps to verify the identity of an individual.
