Differentiating a detected object from a background using a gaussian brightness falloff pattern

A method comprising:

• obtaining an identification of pixels of a plurality of digital images, associated with a holographic diffraction grating, that correspond to at least one finger of a hand that is visible in the plurality of digital images rather than to a background in the plurality of digital images, the pixels being identified by:
• obtaining, from the holographic diffraction grating, (i) a fringe pattern comprising an interference distribution of the holographic diffraction grating, wherein the fringe pattern provides a high contrast differential between the at least one finger and the background and (ii) a ghost silhouette;
• and
• identifying the pixels that correspond to the at least one finger based on at least one of the fringe pattern and the ghost silhouette;
• and
• tracking motion of the identified pixels that correspond to the at least one finger through the plurality of digital images.

An image capture and analysis system comprising an image analyzer configured to:

• obtain an identification of pixels of a plurality of digital images, associated with a holographic diffraction grating, that correspond to at least one finger of a hand that is visible in the plurality of digital images rather than to a background in the plurality of digital images, the pixels being identified by:
• obtaining, from the holographic diffraction grating, (i) a fringe pattern comprising an interference distribution of the holographic diffraction grating, wherein the fringe pattern provides a high contrast differential between the at least one finger and the background and (ii) a ghost silhouette;
• and
• identifying the pixels that correspond to the at least one finger based on at least one of the fringe pattern and the ghost silhouette;
• and
• track motion of the identified pixels that correspond to the at least one finger through the plurality of digital images.