Differentiating a detected object from a background using a gaussian brightness falloff pattern
A method for detecting a finger is provided. The method includes obtaining a plurality of digital images including a first digital image captured by a camera from a field of view containing a background and a hand including at least one finger, and obtaining an identification of pixels of the plurality of digital images that correspond to at least one finger that is visible in the plurality of digital images rather than to the background, the pixels being identified by: obtaining, from the digital images, a Gaussian brightness falloff pattern indicative of at least one finger, identifying an axis of the at least one finger based on the obtained Gaussian brightness falloff pattern indicative of the at least one finger without identifying edges of the at least one finger, and identifying the pixels that correspond to the at least one finger based on the identified axis.
1 . A wearable goggle comprising one or more processors 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.
2 . The wearable goggle of claim 1 , wherein the one or more processors are further configured to:
compare the tracked motion to a library of gestures;
identify a particular gesture from the library of gestures that corresponds to the tracked motion; and
enable the particular gesture that corresponds to the tracked motion.
3 . The wearable goggle of claim 1 , wherein the one or more processors are further configured to:
construct a model of the at least one finger based on the identified pixels that correspond to the at least one finger and the tracked motion of the identified pixels that correspond to the at least one finger,
wherein the constructing of the model includes constructing a 3D model of the at least one finger, including a position and a shape of the at least one finger, to geometrically determine whether the at least one finger corresponds to an object of interest, and
wherein at least one light source is positioned such that objects of interest are located within a proximal zone of a field of view of a camera responsible for the plurality of digital images, the proximal zone extending from the camera to a distance less than twice an expected maximum distance between the objects of interest and the camera.
4 . The wearable goggle of claim 1 , wherein the holographic diffraction grating is one of a classical grating, a first generation holographic grating, or a Sheridon grating.
5 . The wearable goggle of claim 1 , wherein the fringe pattern includes a sinusoidal wave.
6 . The wearable goggle of claim 1 , wherein the one or more processors are further configured to:
construct a model of the at least one finger based on the identified pixels that correspond to the at least one finger and the tracked motion of the identified pixels that correspond to the at least one finger,
wherein the constructing of the model includes constructing a 3D model of the at least one finger, including a position and a shape of the at least one finger, to geometrically determine whether the at least one finger corresponds to an object of interest; and
wherein at least one light source is positioned such that objects of interest are located within a proximal zone of a field of view of a camera responsible for the plurality of digital images, the proximal zone extending from the camera to a distance that is half or less than a distance to the background.
7 . The wearable goggle of claim 6 , wherein the holographic diffraction grating is associated with a holographic virtual reality/augmented reality (VR/AR) optics logic.
8 . The wearable goggle of claim 7 , wherein the holographic VR/AR optics logic is configured to:
generate a holographic image including, at least, the 3D model of the at least one finger; and
present, towards a user, the holographic image via a display of the wearable goggle.
9 . The wearable goggle of claim 8 , wherein the holographic VR/AR optics logic is further configured to:
generate a holographic image including at least one transparent region within the holographic image, wherein a transparency of a region is based on at least one of (i) a wavelength and (ii) an angle associated with the interference distribution of the holographic diffraction grating; and
present, towards the user, an AR scene via the display of the wearable goggle, the AR scene including, at least, the holographic image including at least one transparent region within the holographic image.
10 . 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.
11 . The method of claim 10 , wherein the method further includes:
constructing a model of the at least one finger based on the identified pixels that correspond to the at least one finger and the tracked motion of the identified pixels that correspond to the at least one finger,
wherein the constructing of the model includes constructing a 3D model of the at least one finger, including a position and a shape of the at least one finger, to geometrically determine whether the at least one finger corresponds to an object of interest, and
wherein at least one light source is positioned such that objects of interest are located within a proximal zone of a field of view of a camera responsible for the plurality of digital images, the proximal zone extending from the camera to a distance less than twice an expected maximum distance between the objects of interest and the camera.
12 . The method of claim 11 , wherein the method further includes:
generating a holographic image including, at least, the 3D model of the at least one finger; and
presenting, towards a user, the holographic image via a display of a user device.
13 . The method of claim 12 , further including presenting, towards the user and via the display of the user device, a VR scene based on the holographic image.
14 . The method of claim 12 , further including presenting, towards the user and via the display of the user device, an AR scene based on the holographic image, wherein:
the holographic image includes at least one transparent region within the holographic image, and
a transparency of a region is based on at least one of (i) a wavelength and (ii) an angle associated with the interference distribution of the holographic diffraction grating.
15 . 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.
16 . The image capture and analysis system of claim 15 , wherein the image analyzer is further configured to:
construct a model of the at least one finger based on the identified pixels that correspond to the at least one finger and the tracked motion of the identified pixels that correspond to the at least one finger,
wherein the constructing of the model includes constructing a 3D model of the at least one finger, including a position and a shape of the at least one finger, to geometrically determine whether the at least one finger corresponds to an object of interest, and
wherein at least one light source is positioned such that objects of interest are located within a proximal zone of a field of view of a camera responsible for the plurality of digital images, the proximal zone extending from the camera to a distance less than twice an expected maximum distance between the objects of interest and the camera.
17 . The image capture and analysis system of claim 16 , further including a holographic virtual reality/augmented reality (VR/AR) optics logic, wherein the holographic VR/AR optics logic is configured to process data associated with the fringe pattern obtained from the holographic diffraction grating.
18 . The image capture and analysis system of claim 17 , wherein the holographic VR/AR optics logic is configured to:
generate a holographic image including, at least, the 3D model of the at least one finger; and
present, towards a user, the holographic image via a display of a user device.
19 . The image capture and analysis system of claim 18 , wherein the holographic VR/AR optics logic is further configured to:
generate a holographic image including at least one transparent region within the holographic image, wherein a transparency of a region is based on at least one of (i) a wavelength and (ii) an angle associated with the interference distribution of the holographic diffraction grating; and
present, towards the user, an AR scene via the display of the user device, the AR scene including, at least, the holographic image including at least one transparent region within the holographic image.
20 . The image capture and analysis system of claim 18 , wherein the holographic VR/AR optics logic is further configured to present, towards the user and via the display of the user device, a VR scene based on the holographic image.