3D face reconstruction from gate camera

1. A method of creating a 3-dimensional facial reconstruction of a user of a transit system, the method comprising:

detecting a user within a range of an image capture device positioned at a transit access point;

capturing a plurality of images of a first portion of the user's face using the image capture device while the user passes through the range of the image capture device;

detecting a plurality of positions of the user as the user passes through the range of the image capture device by detecting breaks in a plurality of position-sensing cross beams that extend across the transit access point as the user passes through the plurality of position-sensing cross beams;

combining the plurality of images with the plurality of positions;

calculating a relative angle and position of the user's face based on the combination of the plurality of images and the plurality of positions;

generating a 3-dimensional model of the first portion of the user's face based on the calculated relative angle and position;

storing the 3-dimensional model;

generating a second 3-dimensional model based on a separate instance of the user passing through the transit access point or through a second transit access point; and

updating the stored 3-dimensional model by combining the stored 3-dimensional model with the second 3-dimensional model.

2. The method of creating a 3-dimensional facial reconstruction of a user of a transit system of claim 1 , wherein:

detecting the plurality of positions comprises receiving position information from the plurality of position-sensing cross beams; and

the plurality of position-sensing cross beams are generated by one or more of light-based position sensors or sound-based position sensors positioned proximate to the transit access point.

3. The method of creating a 3-dimensional facial reconstruction of a user of a transit system of claim 1 , wherein:

detecting the plurality of positions comprises receiving position information from a second image capture device.

4. The method of creating a 3-dimensional facial reconstruction of a user of a transit system of claim 1 , wherein:

each of the plurality of images and each of the plurality of positions comprises a timestamp; and

combining the plurality of images with the plurality of positions comprises matching the timestamp from each of the plurality of images with a corresponding timestamp from one of the plurality of positions.

5. The method of creating a 3-dimensional facial reconstruction of a user of a transit system of claim 1 , further comprising:

capturing a second plurality of images of a second portion of the user's face using a second image capture device; and

generating a 3-dimensional model of the second portion of the user's face using the second plurality of images.

6. The method of creating a 3-dimensional facial reconstruction of a user of a transit system of claim 1 , wherein:

detecting the user within the range of the image capture device comprises detecting a fare validation event at the transit access point and triggering the image capture device to capture the plurality of images.

7. A non-transitory computer-readable medium having instructions embedded thereon for creating a 3-dimensional facial reconstruction of a user of a transit system, the instructions comprising computer code for causing a computing device to:

detect a user within a range of an image capture device positioned at a transit access point;

capture a plurality of images of a first portion of the user's face using the image capture device while the user passes through the range of the image capture device;

detect a plurality of positions of the user as the user passes through the range of the image capture device by detecting breaks in a plurality of position-sensing cross beams that extend across the transit access point as the user passes through the plurality of position-sensing cross beams;

combine the plurality of images with the plurality of positions;

calculate a relative angle and position of the user's face based on the combination of the plurality of images and the plurality of positions;

generate a 3-dimensional model of the first portion of the user's face based on the calculated relative angle and position; and

store the 3-dimensional model.

8. The non-transitory computer-readable medium of claim 7 , wherein:

detecting the plurality of positions comprises receiving position information from the plurality of position-sensing cross beams; and

the plurality of position-sensing cross beams are generated by one or more of light-based position sensors or sound-based position sensors positioned proximate to the transit access point.

9. The non-transitory computer-readable medium of claim 7 , wherein:

detecting the plurality of positions comprises receiving position information from a second image capture device.

10. The non-transitory computer-readable medium of claim 7 , wherein:

each of the plurality of images and each of the plurality of positions comprises a timestamp; and

combining the plurality of images with the plurality of positions comprises matching the timestamp from each of the plurality of images with a corresponding timestamp from one of the plurality of positions.

11. The non-transitory computer-readable medium of claim 7 , further comprising instructions for causing the computing device to:

capture a second plurality of images of a second portion of the user's face using a second image capture device; and

generate a 3-dimensional model of the second portion of the user's face using the second plurality of images.

12. The non-transitory computer-readable medium of claim 7 , wherein:

detecting the user within the range of the image capture device comprises detecting a fare validation event at the transit access point and triggering the image capture device to capture the plurality of images.

13. A system for creating a 3-dimensional facial reconstruction of a user of a transit system, the system comprising:

an image capture device positioned to capture an image of a user's face as the user passes through a transit access point;

a user detection module configured to determine when a user is within a range of the image capture device;

a position module configured to determine a position of the user as the user passes through the transit access point, wherein the position module comprises a plurality of position-sensing cross beams that extend across the transit access point;

a facial model generation module configured to generate a 3-dimensional model using images from the image capture device;

a communications module;

a memory; and

a processor, the processor configured to:

detect, using the user detection module, the user within a range of the image capture device positioned at a transit access point;

capture a plurality of images of a first portion of the user's face using the image capture device while the user passes through the range of the image capture device;

detect, using the position module, a plurality of positions of the user as the user passes through the range of the image capture device by detecting breaks in the plurality of position-sensing cross beams as the user passes through the plurality of position-sensing cross beams;

combine the plurality of images with the plurality of positions;

calculate a relative angle and position of the user's face based on the combination of the plurality of images and the plurality of positions;

generate, using the facial model generation module, a 3-dimensional model of the first portion of the user's face based on the calculated relative angle and position; and

store the 3-dimensional model.

14. The system for creating a 3-dimensional facial reconstruction of a user of a transit system of claim 13 , wherein:

the plurality of position-sensing cross beams are generated by one or more of light-based position sensors or sound-based position sensors positioned proximate to the transit access point.

15. The system for creating a 3-dimensional facial reconstruction of a user of a transit system of claim 13 , wherein:

the position module comprises a second image capture device.

16. The system for creating a 3-dimensional facial reconstruction of a user of a transit system of claim 13 , wherein:

each of the plurality of images and each of the plurality of positions comprises a timestamp; and

combining the plurality of images with the plurality of positions comprises matching the timestamp from each of the plurality of images with a corresponding timestamp from one of the plurality of positions.

17. The system for creating a 3-dimensional facial reconstruction of a user of a transit system of claim 13 , further comprising:

a second image capture device, wherein the processor is further configured to:

capture a second plurality of images of a second portion of the user's face using the second image capture device; and

generate, using the facial model generation module, a 3-dimensional model of the second portion of the user's face using the second plurality of images.

18. The system for creating a 3-dimensional facial reconstruction of a user of a transit system of claim 13 , wherein:

detecting the user within the range of the image capture device comprises detecting a fare validation event at the transit access point and triggering the image capture device to capture the plurality of images.