SYSTEMS AND METHODS FOR EFFICIENT FACE RECOGNITION

• US 20170332950A1
• Filed: 03/02/2017
• Published: 11/23/2017
• Est. Priority Date: 03/02/2016
• Status: Active Grant

• Current Assignee: Tinoq Inc.
• Original Assignee: Tinoq Inc.
• Inventors: YU, Daxiao, SUN, Yang
• Granted Patent: US 10,339,368 B2
• Time in Patent Office: Days
• CPC Class Codes: A63B 2220/807 Photo cameras
• CPC Class Codes: A63B 24/0062 Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
• CPC Class Codes: G06F 16/00 Information retrieval; Database structures therefor; File system structures therefor
• CPC Class Codes: G06T 2207/20132 Image cropping
• CPC Class Codes: G06T 2207/30201 Face
• CPC Class Codes: G06T 3/40 Scaling of whole images or parts thereof, e.g. expanding or contracting
• CPC Class Codes: G06T 7/11 Region-based segmentation
• CPC Class Codes: G06V 10/95 structured as a network, e.g. client-server architectures
• CPC Class Codes: G06V 30/242 Division of the character sequences into groups prior to recognition; Selection of dictionaries
• CPC Class Codes: G06V 40/166 using acquisition arrangements
• CPC Class Codes: G06V 40/172 Classification, e.g. identification
• CPC Class Codes: G07C 9/37 using biometric data, e.g. fingerprints, iris scans or voice recognition

Abstract

A method for recognizing the face of a user that uses a device in a facility includes receiving a photo of the user and extracting a face image of the user from the photo. The method includes receiving a full candidate face set of all registered users, a first list of registered users that are within the facility, and a second list of registered users that are using other devices in the facility. The method includes generating a reduced candidate face set from the full candidate face set by excluding at least one of (1) candidate faces corresponding to users that are not included in the first list or (2) candidate faces corresponding to users that are included in the second list, from the full candidate face set. The method also includes determining whether the face image corresponds to a candidate face of the reduced candidate face set.

Claims

1. A method of recognizing the face of a user that uses a device in a facility, comprising:

receiving, at a face recognition device from a camera, a photo of the user;

extracting, at the face recognition device, a face image of the user from the photo;

receiving, at the face recognition device, a full candidate face set of all registered users;

receiving, at the face recognition device, a first list of registered users that are within the facility;

receiving, at the face recognition device, a second list of registered users that are using other devices in the facility;

generating, at the face recognition device, a reduced candidate face set from the full candidate face set by excluding at least one of (1) one or more candidate faces corresponding to users that are not included in the first list or (2) one or more candidate faces corresponding to users that are included in the second list, from the full candidate face set; and

determining, at the face recognition device, whether the face image corresponds to a candidate face of the reduced candidate face set.

2. The method of claim 1, wherein the reduced candidate face set is generated by excluding both (1) one or more candidate faces corresponding to users that are not included in the first list and (2) one or more candidate faces corresponding to users that are included in the second list, from the full candidate face set.

3. The method of claim 1, further comprising reducing, at the face recognition device, the size of the photo by cropping the boundaries of the photo.

4. The method of claim 1, wherein the photo includes a plurality of candidate face images, wherein extracting the face image of the user from the photo is based on choosing one of the candidate face images that has the largest size.

5. The method of claim 1, wherein the photo includes a plurality of candidate face images, wherein extracting the face image of the user from the photo is based on choosing one of the candidate face images that is closest to the camera.

6. A system of recognizing the face of a user that uses a device in a facility, comprising:

a camera configured to capture a photo of the user;

a memory that stores a module; and

a processor, coupled, locally or remotely, to the camera, configured to run the module stored in the memory that is configured to cause the processor to;

receive a full candidate face set of all registered users,

receive a first list of registered users that are within the facility,

receive a second list of registered users that are using other devices in the facility,

generate a reduced candidate face set from the full candidate face set by excluding at least one of (1) one or more candidate faces corresponding to users that are not included in the first list or (2) one or more candidate faces corresponding to users that are included in the second list, from the full candidate face set, and

determine whether the face image corresponds to a candidate face of the reduced candidate face set.

7. The system of claim 6, wherein the reduced candidate face set is generated by excluding both (1) one or more candidate faces corresponding to users that are not included in the first list and (2) one or more candidate faces corresponding to users that are included in the second list, from the full candidate face set.

8. The system of claim 6, wherein the module is further configured to cause the processor to the size of the photo by cropping the boundaries of the photo.

9. The system of claim 6, wherein the photo includes a plurality of candidate face images, wherein the module is further configured to extract the face image of the user from the photo based on choosing one of the candidate face images that has the largest size.

10. The system of claim 6, wherein the photo includes a plurality of candidate face images, wherein the module is further configured to extract the face image of the user from the photo based on choosing one of the candidate face images that is closest to the camera.

11. The system of claim 6, wherein the processor is located at the device.

12. The system of claim 6, wherein the processor is located inside the camera.

13. The system of claim 6, wherein the processor is located within the facility.

14. They system of claim 6, wherein the processor is located remote from the facility.

15. A non-transitory computer readable medium having executable instructions operable to cause an apparatus to:

receive a full candidate face set of all registered users from a camera attached to a device in a facility;

receive a first list of registered users that are within the facility;

receive a second list of registered users that are using other devices in the facility;

generate a reduced candidate face set from the full candidate face set by excluding at least one of (1) one or more candidate faces corresponding to users that are not included in the first list or (2) one or more candidate faces corresponding to users that are included in the second list, from the full candidate face set; and

determine whether the face image corresponds to a candidate face of the reduced candidate face set.

16. The non-transitory computer readable medium of claim 15, wherein the reduced candidate face set is generated by excluding both (1) one or more candidate faces corresponding to users that are not included in the first list and (2) one or more candidate faces corresponding to users that are included in the second list, from the full candidate face set.

17. The non-transitory computer readable medium of claim 15, wherein the executable instructions are further operable to cause the apparatus to the size of the photo by cropping the boundaries of the photo.

18. The non-transitory computer readable medium of claim 15, wherein the photo includes a plurality of candidate face images, wherein the executable instructions are further operable to cause the apparatus to extract the face image of the user from the photo based on choosing one of the candidate face images that has the largest size.

19. The non-transitory computer readable medium of claim 15, wherein the photo includes a plurality of candidate face images, wherein the executable instructions are further operable to cause the apparatus to extract the face image of the user from the photo based on choosing one of the candidate face images that is closest to the camera.