Systems and methods for obtaining a pupillary distance measurement using a mobile computing device
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G09G-005/00
A61B-003/11
G02C-013/00
G06T-007/60
G06Q-030/00
출원번호
US-0706909
(2012-12-06)
등록번호
US-9236024
(2016-01-12)
발명자
/ 주소
Coon, Jonathan
출원인 / 주소
Glasses.com Inc.
대리인 / 주소
Holland & Hart LLP
인용정보
피인용 횟수 :
7인용 특허 :
306
초록▼
A computer-implemented method for scaling an image is described. An image that depicts a device in contact with a user is obtained. The image depicts identifying information that is being displayed on a display of the device. A type of the device is identified based on the identifying information. A
A computer-implemented method for scaling an image is described. An image that depicts a device in contact with a user is obtained. The image depicts identifying information that is being displayed on a display of the device. A type of the device is identified based on the identifying information. A size of the device is determined based on the identified type of the device. At least a portion of the depiction of the user is scaled based on the determined size of the device.
대표청구항▼
1. A computer-implemented method for scaling an image, comprising: obtaining, by a processor of a device, an image of a reflection that depicts the device in contact with a face of a user, wherein the image depicts a display of the device displaying a Quick Response (QR) code; andscaling, by the pro
1. A computer-implemented method for scaling an image, comprising: obtaining, by a processor of a device, an image of a reflection that depicts the device in contact with a face of a user, wherein the image depicts a display of the device displaying a Quick Response (QR) code; andscaling, by the processor, at least a portion of the depiction of the user based on the captured reflection including the QR code displayed on the device. 2. The method of claim 1, wherein the image is captured by the device. 3. The method of claim 1, wherein the QR code includes identifying information, the identifying information comprising one or more of a make of the device, a model of the device, and dimensions of the device, wherein at least a portion of the depiction of the user is scaled based on the determined size of the device. 4. The method of claim 3, further comprising: identifying, by the processor, a type of the device based on the identifying information; anddetermining, by the processor, a size of the device based on the identified type of the device. 5. The method of claim 1, further comprising determining a relationship between the depiction of the device and the depiction of the user. 6. The method of claim 5, wherein scaling the at least a portion of the depiction of the user comprises translating the scale of the device to the at least a portion of the depiction of the user based on the determined relationship. 7. The method of claim 1, wherein the identifying information has a predetermined size, and wherein one or more of the depiction of the device and the at least a portion of the depiction of the user is scaled based on the predetermined size. 8. The method of claim 7, further comprising determining a distance between the device and a second device that is capturing the image. 9. The method of claim 1, wherein the image is captured by a front-facing camera of the device. 10. A device configured to scale an image, comprising: a processor; andmemory in electronic communication with the processor; andinstructions stored in the memory, the instructions being executable by the processor to: obtain an image of a reflection that depicts the device in contact with a face of a user, wherein the image depicts a display of the device displaying a Quick Response (QR) code; andscale at least a portion of the depiction of the user based on the captured reflection including the QR code displayed on the device. 11. The device of claim 10, wherein the image is captured by the device. 12. The device of claim 10, wherein the QR code includes identifying information, the identifying information comprising one or more of a make, a model, and a dimension of the device, wherein at least a portion of the depiction of the user is scaled based on the determined size of the device. 13. The device of claim 10, wherein the instructions are further executable by the processor to determine a relationship between the depiction of the device and the depiction of the user. 14. The device of claim 13, wherein the instructions to scale the at least a portion of the depiction of the user are further executable by the processor to translate the scale of the device to the at least a portion of the depiction of the user based on the determined relationship. 15. The device of claim 10, wherein the identifying information has a predetermined size, and wherein one or more of the depiction of the device and the at least a portion of the depiction of the user is scaled based on the predetermined size. 16. The device of claim 15, wherein the instructions are further executable by the processor to determine a distance between the device and a second device that is capturing the image. 17. A computer-program product to scale an image, the computer-program product comprising a non-transitory computer-readable medium having instructions thereon, the instructions being executable by a processor of a device to: obtain an image of a reflection that depicts the device in contact with a face of a user, wherein the image depicts a display of the device displaying a Quick Response (QR) code;scale at least a portion of the depiction of the user based on the captured reflection including the QR code displayed on the device. 18. A computer-implemented method for scaling an image, comprising: obtaining, by a processor, an image that depicts a device in relation to a face of a user, wherein the image depicts identifying information that is being displayed on a display of the device, the identifying information comprising a Quick Response (QR) code; anddetermining, by the processor, a pupillary distance of the user based on the scaled depiction of the user based on the QR code displayed on the device. 19. The method of claim 18, wherein the image is captured by the device. 20. The method of claim 18, wherein the QR code includes identifying information, the identifying information comprising one or more of a make of the device, a model of the device, and dimensions of the device, wherein at least a portion of the depiction of the pupillary distance of the user is determined based on the determined size of the device.
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