Device with biometric system

1. A device for verifying a subject, the device comprising:

a device body;

a biometric system including:

(i) a first image capture device having a first field of view, and

(ii) a second image capture device having a second field of view containing at least a portion of the first field of view; and

a processor configured to:

maintain a predetermined mask defining a restricted portion of the first field of view;

capture, via the first image capture device, a point cloud depicting the restricted portion of the first field of view defined by the predetermined mask, the point cloud excluding a remainder of the first field of view outside the restricted portion;

determine a target region of the point cloud containing a subject;

continuously and iteratively track the subject in the restricted portion of the first field of view;

based on calibration data associating coordinate systems of the first and second image capture devices, map the target region from the first field of view to a corresponding region of the second field of view;

in response to the mapping, capture, via the second image capture device, an image of the corresponding region of the second field of view containing the subject; and

conduct a facial identification process on the captured image of the subject.

2. The device as claimed in claim 1 , wherein the first image capture device and the second image capture device are selected from the following group: a stereoscopic camera, a 3-dimensional camera, a 2-dimensional camera, a fish eye camera, an RGB camera, an RF camera, a spectral camera, a digital camera, a motion sensor and a combination of thereof.

3. The device as claimed in claim 1 , wherein the processor is configured to detect the subject within the target region of the point cloud by segmenting the point cloud with a 3D segmentation process.

4. The device as claimed in claim 1 , wherein the processor is further configured to associate the image with a score based on at least one parameter selected from the following group: target anatomy detected, image quality, focus, target anatomy pose, alignment, image resolution, and pixel count.

5. The device as claimed in claim 4 , wherein the processor is further configured to capture, via the second image capture device, more than one image of the subject per time period, and to select one or more of the images for storage based on the scores associated with the images.

6. The device as claimed in claim 1 , wherein the processor is further configured to store the captured image with an associated subject profile.

7. A method in a device for verifying a subject, the method comprising:

maintaining a predetermined mask defining a restricted portion of a first field of view of a first image capture device;

controlling the first image capture device to capture a point cloud depicting the restricted portion of the first field of view defined by the predetermined mask, the point cloud excluding a remainder of the first field of view outside the restricted portion;

determining a target region of the point cloud containing a subject;

continuously and iteratively tracking the subject in the restricted portion of the first field of view;

based on calibration data associating coordinate systems of the first and second image capture devices, mapping the target region from the first field of view to a corresponding region of a second field of view of a second image capture device, the second field of view containing at least a portion of the first field of view;

in response to the mapping, controlling the second image capture device to capture an image of the corresponding region of the second field of view containing the subject; and

conducting a facial identification process on the captured image of the subject.

8. The method as claimed in claim 7 , further comprising: assessing the image with a score based on at least one parameter selected from the group: pixel count, focus, blur, resolution, alignment and stance of the subject.

9. The method of claim 7 , wherein detecting the subject within the target region of the point cloud includes segmenting the point cloud with a 3D segmentation process.

10. The method of claim 8 , further comprising controlling the second image capture device to capture more than one image of the subject per time period, and selecting one or more of the images for storage based on the scores associated with the images.

11. The method of claim 7 , further comprising storing the captured image with an associated subject profile.

12. A non-transitory computer-readable medium containing computer-readable code which, when run on a processor, causes the processor to:

maintain a predetermined mask defining a restricted portion of a first field of view of a first image capture device;

capture, via the first image-capture device, a point cloud depicting the restricted portion of the first field of view defined by the predetermined mask, the point cloud excluding a remainder of the first field of view outside the restricted portion;

determine a target region of the point cloud containing a subject;

continuously and iteratively track the subject in the restricted portion of the first field of view;

based on calibration data associating coordinate systems of the first and second image capture devices, map the target region from the first field of view to a corresponding region of a second field of view of a second image capture device, the second field of view containing at least a portion of the first field of view;

in response to the mapping, capture, via a second image-capture device, an image of the corresponding region of the second field of view containing the subject; and

conduct a facial identification process on the captured image of the object of interest.

13. The non-transitory computer-readable medium as claimed in claim 12 , wherein execution of the code further configures the processor to detect the subject within the target region of the point cloud by segmenting the point cloud with a 3D segmentation process.

14. The non-transitory computer-readable medium as claimed in claim 12 , wherein execution of the code further configures the processor to associate the image with a score based on at least one parameter selected from the following group: target anatomy detected, image quality, focus, target anatomy pose, alignment, image resolution, and pixel count.

15. The non-transitory computer-readable medium as claimed in claim 14 , wherein execution of the code further configures the processor to capture, via the second image capture device, more than one image of the subject per time period, and to select one or more of the images for storage based on the scores associated with the images.

16. The non-transitory computer-readable medium as claimed in claim 12 , wherein execution of the code further configures the processor to store the captured image with an associated subject profile.