Computerized pupillary distance measurement system and method
The present disclosure relates generally to a system and method for determining the pupillary distance of a person, more particularly determining the person's pupillary distance by using a computerized screen. The system and method do not require the trip or expense of a doctor or store visit, and are optimized for convenience and cost effectiveness. In a general embodiment, the present disclosure provides a method for determining a pupillary distance of a person without physically measuring the pupillary distance with a device. The method includes receiving a front facial image of the person, determining a scale of the image based on an estimated canthal distance, and determining the pupillary distance of the person based, in part, on the determined scale of the image.
1. A method for determining a pupillary distance of a person without physically measuring the pupillary distance with a device comprising:
receiving a front facial image of the person,
determining a scale of the image based on an estimated canthal distance, and
determining the pupillary distance of the person based, in part, on the determined scale of the image.
2. The method according to claim 1 further comprising, enabling the person to input demographic information.
3. The method according to claim 2 further comprising, determining from the demographic information of the person the estimated canthal distance of the person.
4. The method according to claim 3 , wherein the demographic information is at least one of the age, race, gender, height, and weight of the person.
5. The method according to claim 1 , wherein the method is provided via an internet.
6. The method according to claim 5 , wherein the method is associated with a refractive eye examination provided via the internet.
7. The method according to claim 6 , wherein the front facial image of the person is received from still images taken during the refractive eye examination.
8. The method according to claim 6 , wherein the refractive eye examination results in a corrective lenses prescription for the person that was reviewed and approved by at least one doctor.
9. The method according to claim 1 , wherein the front facial image of the person is received from at least one of a digital camera, a camera phone, a camera-enabled personal computer, a camera-enabled tablet, a camera-enabled person terminal, and a camera-enabled kiosk.
10. The method according to claim 1 , wherein receiving a front facial image of the person further comprises enabling the person to select a previously taken front facial image to be received.
11. The method according to claim 1 , further comprising:
determining a center of each of the person's pupils in the received image, wherein determining the pupillary distance of the person is based, in part, on the determined center of each of the person's pupils in the received image.
12. The method according to claim 1 , wherein determining the scale of the image based on an estimated canthal distance further comprises:
determining a canthal start point and a canthal end point in the received image and scaling the image based upon the estimated canthal distance and a distance between the canthal start point and the canthal end point in the received image.
13. A non-transitory computer readable medium including a plurality of instructions, which when executed by at least one processor, cause the at least one processor to operate with at least one display device and at least one input device to determine a pupillary distance of a person comprising:
determining a pupillary distance of a person without physically measuring the pupillary distance with a device by,
(i) receiving a front facial image of the person,
(ii) determining a scale of the image based on an estimated canthal distance, and
determining the pupillary distance of the person based, in part, on the determined scale of the image.