Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
Claim Objections
Claims 5, 15 are objected to because of the following informalities: In claim 5, 15, line 5, “ps” should be changed to “preferences”. Appropriate correction is required.
Double Patenting
The nonstatutory double patenting rejection is based on a judicially created doctrine grounded in public policy (a policy reflected in the statute) so as to prevent the unjustified or improper timewise extension of the “right to exclude” granted by a patent and to prevent possible harassment by multiple assignees. A nonstatutory double patenting rejection is appropriate where the conflicting claims are not identical, but at least one examined application claim is not patentably distinct from the reference claim(s) because the examined application claim is either anticipated by, or would have been obvious over, the reference claim(s). See, e.g., In re Berg, 140 F.3d 1428, 46 USPQ2d 1226 (Fed. Cir. 1998); In re Goodman, 11 F.3d 1046, 29 USPQ2d 2010 (Fed. Cir. 1993); In re Longi, 759 F.2d 887, 225 USPQ 645 (Fed. Cir. 1985); In re Van Ornum, 686 F.2d 937, 214 USPQ 761 (CCPA 1982); In re Vogel, 422 F.2d 438, 164 USPQ 619 (CCPA 1970); In re Thorington, 418 F.2d 528, 163 USPQ 644 (CCPA 1969).
A timely filed terminal disclaimer in compliance with 37 CFR 1.321(c) or 1.321(d) may be used to overcome an actual or provisional rejection based on nonstatutory double patenting provided the reference application or patent either is shown to be commonly owned with the examined application, or claims an invention made as a result of activities undertaken within the scope of a joint research agreement. See MPEP § 717.02 for applications subject to examination under the first inventor to file provisions of the AIA as explained in MPEP § 2159. See MPEP § 2146 et seq. for applications not subject to examination under the first inventor to file provisions of the AIA . A terminal disclaimer must be signed in compliance with 37 CFR 1.321(b).
The USPTO Internet website contains terminal disclaimer forms which may be used. Please visit www.uspto.gov/patent/patents-forms. The filing date of the application in which the form is filed determines what form (e.g., PTO/SB/25, PTO/SB/26, PTO/AIA /25, or PTO/AIA /26) should be used. A web-based eTerminal Disclaimer may be filled out completely online using web-screens. An eTerminal Disclaimer that meets all requirements is auto-processed and approved immediately upon submission. For more information about eTerminal Disclaimers, refer to www.uspto.gov/patents/process/file/efs/guidance/eTD-info-I.jsp.
Claims 1-20 are rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1-20 of U.S. Patent No. 12,249,181. Although the claims at issue are not identical, they are not patentably distinct from each other because the present claims are either anticipated by or obvious variants of the patent claims. The following table shows the corresponding limitations between representative claims and representative patent claims.
Present Application Claims
Patent claims
1. A facial feature matching system, comprising: a network interface; and at least one processing device operable to: populate a first user interface, for display on a user device associated with a first user, with a set of images comprising faces having associated facial features; receive, via the network interface, from the user device a selection by the first user of one or more of images comprising faces having associated facial features in the set of images; identify a plurality of users having one or more facial features similar to one or more facial features of the faces having associated facial features in the set of images, wherein the faces in the set of images includes faces different than faces associated with respective users in the plurality of users; cause a second user interface to be displayed on the user device, the second user interface populated with the images comprising faces associated with the identified plurality of users that that are associated with one or more facial features similar to one or more of the facial features of the faces having associated facial features in the set of images; receive from the user device, via the second user interface, a selection by the first user of a second user in the plurality of users that that is associated with one or more facial features similar to one or more of the facial features of the faces having associated facial features in the set of images; and enable the first user and the second user to communicate over at least a first electronic communication channel.
2. The facial feature matching system as defined in claim 1, the system further configured to perform operation comprising: generating a three-dimensional image using a two-dimensional image of at least one user; and populating the second user interface with the generated three-dimensional image of the at least one user.
3. The facial feature matching system as defined in claim 1, the system further configured to perform operation comprising: populating the second user interface with an avatar.
4. The facial feature matching system as defined in claim 1, the system further configured to perform operation comprising: creating a computer-generated image of a virtual face having a first set of optimized facial features; and populating the second user interface with the computer-generated image of the virtual face.
5. The facial feature matching system as defined in claim 1, the system further configured to perform operation comprising: filtering images in a database of images to generate the set of images comprising respective images comprising faces based at least in part on non-appearance-related ps.
6. The facial feature matching system as defined in claim 1, the system further configured to perform operations comprising: using a neural network comprising: an input layer, one or more hidden layers, and an output layer, to identify the plurality of users that that are associated with one or more facial features similar to the one or more of the facial features of the faces having associated facial features in the set of images.
7. The facial feature matching system as defined in claim 1, wherein the user device comprises an augmented reality headset or a virtual reality headset.
8. The facial feature matching system as defined in claim 1, the system further configured to perform operations comprising: drawing respective light masks of vectors for respective facial features of a given face in at least one image; and weighting the respective light masks to enhance accuracy in identifying facial feature similarity.
9. The facial feature matching system as defined in claim 1, the system further configured to perform operations comprising: using a chain code in performing a process of matching a feature of a given face with a feature of a given user.
11. A computerized method, the method comprising: using a computer system comprising hardware to populate, on a user device associated with a first user, a first user interface with a set of images of different people, the set of images comprising faces having associated facial features; receiving, at the computer system from the user device, a selection by the first user of one or more images comprising faces having associated facial features; using an artificial intelligence engine to identify a plurality of users that that are associated with one or more facial features similar to one or more of the facial features of faces in the set of images, wherein the set of images includes faces different than faces associated with respective users in the plurality of users; causing a second user interface to be displayed on the user device, the second user interface populated with faces associated with at least a portion of the identified plurality of users that that are associated with one or more facial features similar to one or more of the facial features of faces in the set of images; receiving, via the second user interface, a selection, by the first user, from the user device, of a second user in the plurality of users associated with one or more facial features similar to one or more of the facial features of faces in the set of images; and enabling the first user and the second user to communicate over at least a first electronic communication channel.
12. The computerized method as defined in claim 11, the method further comprising: generating a three-dimensional image using a two-dimensional image of at least one user; and populating the second user interface with the generated three-dimensional image of the at least one user.
13. The computerized method as defined in claim 11, the method further comprising: populating the second user interface with an avatar.
14. The computerized method as defined in claim 11, the method further comprising: creating a computer-generated image of a virtual face having a first set of optimized facial features; and populating the second user interface with the computer-generated image of the virtual face.
15. The computerized method as defined in claim 11, the method further comprising: filtering images in a database of images to generate the images comprising respective images comprising faces based at least in part on non-appearance-related ps.
16. The computerized method as defined in claim 11, the method further comprising: using a neural network comprising: an input layer, one or more hidden layers, and an output layer, to identify the plurality of users that that are associated with one or more facial features similar to the one or more of the facial features of faces in the set of images.
17. The computerized method as defined in claim 11, the method further comprising: receiving an image from a given user; verifying timing information associated with the image received from the given user; and at least partly in response to a successful verification of timing information associated with the image received from the given user, including the image received from the given user in a first database comprising user images.
18. The computerized method as defined in claim 11, the method further comprising: drawing respective light masks of vectors for respective facial features of a given face in at least one image; and weighting the respective light masks to enhance accuracy in identifying facial feature similarity.
19. The computerized method as defined in claim 11, wherein the user device comprises an augmented reality headset or a virtual reality headset.
1. A facial feature matching system, comprising: a network interface; at least one processing device operable to: populate a first user interface, for display on a user device associated with a first user, with a set of reference facial images; receive, via the network interface, from the user device a selection by the first user of one or more of reference facial images in the set of images; characterize a plurality of facial features of respective reference faces in the set of reference facial images using a facial feature recognition engine, the respective reference faces comprising reference faces included in the reference facial images selected by the first user; use the characterized plurality of facial features to identify a plurality of users associated with one or more facial features similar to one or more of the characterized plurality of facial features, wherein the respective reference faces include faces different than faces associated with respective users in the plurality of users; generate respective similarity indicators for the identified plurality of users that that are associated with one or more facial features similar to one or more of the characterized plurality of facial features; cause a second user interface to be displayed on the user device, the second user interface populated, in association with respective similarity indicators, with the facial images associated with the identified plurality of users that that are associated with one or more facial features similar to one or more of the characterized plurality of facial features; receive, via the second user interface, a selection, by the first user, from the user device, of a second user in the plurality of users that that is associated with one or more facial features similar to one or more of the characterized plurality of facial features; and enable the first user and the second user to communicate over at least a first electronic communication channel.
2. The facial feature matching system as defined in claim 1, the system further configured to perform operation comprising: generating a three-dimensional image using a two-dimensional image of at least one user; and populating the second user interface with the generated three-dimensional image of the at least one user.
3. The facial feature matching system as defined in claim 1, the system further configured to perform operation comprising: populating the second user interface with an avatar.
4. The facial feature matching system as defined in claim 1, the system further configured to perform operation comprising: creating a computer-generated image of a virtual face having a first set of optimized facial features; and populating the second user interface with the computer-generated image of the virtual face.
5. The facial feature matching system as defined in claim 1, the system further configured to perform operation comprising: filtering reference images in a database of reference images to generate the set of images comprising respective reference facial images based at least in part on non-appearance-related preferences.
6. The facial feature matching system as defined in claim 1, the system further configured to perform operations comprising: using a neural network comprising: an input layer, one or more hidden layers, and an output layer, to identify the plurality of users that that are associated with one or more facial features similar to the one or more of the characterized plurality of facial features.
7. The facial feature matching system as defined in claim 1, wherein the user device comprises an augmented reality headset or a virtual reality headset.
8. The facial feature matching system as defined in claim 1, the system further configured to perform operations comprising: drawing respective light masks of vectors for respective facial features of a given face in at least one image; and weighting the respective light masks to enhance accuracy in identifying facial feature similarity.
9. The facial feature matching system as defined in claim 1, the system further configured to perform operations comprising: using a chain code in performing a process of matching a feature of a given reference face with a feature of a given user.
11. A computerized method, the method comprising: populating, using a computer system comprising hardware, a first user interface, for display on a user device associated with a first user, with images comprising respective reference facial images of different people; receiving, at the computer system from the user device, a selection by the first user of a plurality of reference facial images; characterizing a plurality of facial features of respective reference faces using a facial feature recognition engine, the respective faces comprising faces included in the reference facial images selected by the first user; using the characterized plurality of facial features to identify a plurality of users that that are associated with one or more facial features similar to one or more of the characterized plurality of facial features, wherein the respective reference faces include faces different than faces associated with respective users in the plurality of users; generating respective similarity indicators for the identified plurality of users that that are associated with one or more facial features similar to one or more of the characterized plurality of facial features; causing a second user interface to be displayed on the user device, the second user interface populated with faces associated with at least a portion of the identified plurality of users that that are associated with one or more facial features similar to one or more of the characterized plurality of facial features; receiving, via the second user interface, a selection, by the first user, from the user device, of a second user in the plurality of users that is associated with one or more facial features similar to one or more of the characterized plurality of facial features; and enabling the first user and the second user to communicate over at least a first electronic communication channel.
12. The computerized method as defined in claim 11, the method further comprising: generating a three-dimensional image using a two-dimensional image of at least one user; and populating the second user interface with the generated three-dimensional image of the at least one user.
13. The computerized method as defined in claim 11, the method further comprising: populating the second user interface with an avatar.
14. The computerized method as defined in claim 11, the method further comprising: creating a computer-generated image of a virtual face having a first set of optimized facial features; and populating the second user interface with the computer-generated image of the virtual face.
15. The computerized method as defined in claim 11, the method further comprising: filtering reference images in a database of reference images to generate the images comprising respective reference facial images based at least in part on non-appearance-related preferences.
16. The computerized method as defined in claim 11, the method further comprising: using a neural network comprising: an input layer, one or more hidden layers, and an output layer, to identify the plurality of users that that are associated with one or more facial features similar to the one or more of the characterized plurality of facial features.
17. The computerized method as defined in claim 11, the method further comprising: receiving an image from a given user; verifying timing information associated with the image received from the given user; and at least partly in response to a successful verification of timing information associated with the image received from the given user, including the image received from the given user in a first database comprising user images.
18. The computerized method as defined in claim 11, the method further comprising: drawing respective light masks of vectors for respective facial features of a given face in at least one image; and weighting the respective light masks to enhance accuracy in identifying facial feature similarity.
19. The computerized method as defined in claim 11, wherein the user device comprises an augmented reality headset or a virtual reality headset.
Claims 1-20 are rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1-21 of U.S. Patent No. 11,749,019. Although the claims at issue are not identical, they are not patentably distinct from each other because the present claims are either anticipated by or obvious variants of the patent claims. The following table shows the corresponding limitations between representative claims and representative patent claims.
Present Application Claims
Patent claims
1. A facial feature matching system, comprising: a network interface; and at least one processing device operable to: populate a first user interface, for display on a user device associated with a first user, with a set of images comprising faces having associated facial features; receive, via the network interface, from the user device a selection by the first user of one or more of images comprising faces having associated facial features in the set of images; identify a plurality of users having one or more facial features similar to one or more facial features of the faces having associated facial features in the set of images, wherein the faces in the set of images includes faces different than faces associated with respective users in the plurality of users; cause a second user interface to be displayed on the user device, the second user interface populated with the images comprising faces associated with the identified plurality of users that that are associated with one or more facial features similar to one or more of the facial features of the faces having associated facial features in the set of images; receive from the user device, via the second user interface, a selection by the first user of a second user in the plurality of users that that is associated with one or more facial features similar to one or more of the facial features of the faces having associated facial features in the set of images; and enable the first user and the second user to communicate over at least a first electronic communication channel.
11. A computerized method, the method comprising: using a computer system comprising hardware to populate, on a user device associated with a first user, a first user interface with a set of images of different people, the set of images comprising faces having associated facial features; receiving, at the computer system from the user device, a selection by the first user of one or more images comprising faces having associated facial features; using an artificial intelligence engine to identify a plurality of users that that are associated with one or more facial features similar to one or more of the facial features of faces in the set of images, wherein the set of images includes faces different than faces associated with respective users in the plurality of users; causing a second user interface to be displayed on the user device, the second user interface populated with faces associated with at least a portion of the identified plurality of users that that are associated with one or more facial features similar to one or more of the facial features of faces in the set of images; receiving, via the second user interface, a selection, by the first user, from the user device, of a second user in the plurality of users associated with one or more facial features similar to one or more of the facial features of faces in the set of images; and enabling the first user and the second user to communicate over at least a first electronic communication channel.
1. A facial feature matching system, comprising: a network interface; at least one processing device operable to: populate a first user interface, for display on a user device associated with a first user, with a set of images comprising respective reference facial images of different people; receive, via the network interface, from the user device a selection by the first user of a plurality of reference facial images in the set of images; characterize a plurality of facial features of respective reference faces using a facial feature recognition engine, the respective faces comprising faces included in the reference facial images selected by the first user; use the characterized plurality of facial features to identify a plurality of users that have one or more facial features similar to one or more of the characterized plurality of facial features, wherein the respective reference faces include faces different than faces of the plurality of users; generate respective similarity indicators for the identified plurality of users that have one or more facial features similar to one or more of the characterized plurality of facial features; use the generated respective similarity indicators for the identified plurality of users that have one or more facial features similar to one or more of the characterized plurality of facial features to generate a ranking of the identified plurality of users; cause a second user interface to be displayed on the user device, the second user interface populated, based at least in part on the generated ranking of the identified plurality of users, in association with respective similarity indicators, with the identified plurality of users that have one or more facial features similar to one or more of the characterized plurality of facial features; receive, via the second user interface, a selection, by the first user, from the user device, of a second user in the plurality of users that have one or more facial features similar to one or more of the characterized plurality of facial features; and enable the first user and the second user to communicate over at least a first electronic communication channel.
8. A computerized method, the method comprising: populating, using a computer system comprising hardware, a first user interface, for display on a user device associated with a first user, with images comprising respective reference facial images of different people; receiving, at the computer system from the user device, a selection by the first user of a plurality of reference facial images; characterizing a plurality of facial features of respective reference faces using a facial feature recognition engine, the respective faces comprising faces included in the reference facial images selected by the first user; using the characterized plurality of facial features to identify a plurality of users that have one or more facial features similar to one or more of the characterized plurality of facial features, wherein the respective reference faces include faces different than faces of the plurality of users; generating respective similarity indicators for the identified plurality of users that have one or more facial features similar to one or more of the characterized plurality of facial features; using the generated respective similarity indicators for the identified plurality of users that have one or more facial features similar to one or more of the characterized plurality of facial features to generate a ranking of the identified plurality of users; causing a second user interface to be displayed on the user device, the second user interface populated, based at least in part on the generated ranking of the identified plurality of users, with at least a portion of the identified plurality of users that have one or more facial features similar to one or more of the characterized plurality of facial features; receiving, via the second user interface, a selection, by the first user, from the user device, of a second user in the plurality of users that have one or more facial features similar to one or more of the characterized plurality of facial features; and enabling the first user and the second user to communicate over at least a first electronic communication channel.
Claims 1-20 are rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1-21 of U.S. Patent No. 11,263,436. Although the claims at issue are not identical, they are not patentably distinct from each other because the present claims are either anticipated by or obvious variants of the patent claims. The following table shows the corresponding limitations between representative claims and representative patent claims.
Present Application Claims
Patent claims
1. A facial feature matching system, comprising: a network interface; and at least one processing device operable to: populate a first user interface, for display on a user device associated with a first user, with a set of images comprising faces having associated facial features; receive, via the network interface, from the user device a selection by the first user of one or more of images comprising faces having associated facial features in the set of images; identify a plurality of users having one or more facial features similar to one or more facial features of the faces having associated facial features in the set of images, wherein the faces in the set of images includes faces different than faces associated with respective users in the plurality of users; cause a second user interface to be displayed on the user device, the second user interface populated with the images comprising faces associated with the identified plurality of users that that are associated with one or more facial features similar to one or more of the facial features of the faces having associated facial features in the set of images; receive from the user device, via the second user interface, a selection by the first user of a second user in the plurality of users that that is associated with one or more facial features similar to one or more of the facial features of the faces having associated facial features in the set of images; and enable the first user and the second user to communicate over at least a first electronic communication channel.
11. A computerized method, the method comprising: using a computer system comprising hardware to populate, on a user device associated with a first user, a first user interface with a set of images of different people, the set of images comprising faces having associated facial features; receiving, at the computer system from the user device, a selection by the first user of one or more images comprising faces having associated facial features; using an artificial intelligence engine to identify a plurality of users that that are associated with one or more facial features similar to one or more of the facial features of faces in the set of images, wherein the set of images includes faces different than faces associated with respective users in the plurality of users; causing a second user interface to be displayed on the user device, the second user interface populated with faces associated with at least a portion of the identified plurality of users that that are associated with one or more facial features similar to one or more of the facial features of faces in the set of images; receiving, via the second user interface, a selection, by the first user, from the user device, of a second user in the plurality of users associated with one or more facial features similar to one or more of the facial features of faces in the set of images; and enabling the first user and the second user to communicate over at least a first electronic communication channel.
1. A facial feature matching system, comprising: a network interface; at least one processing device operable to: populate a first user interface, for display on a user device associated with a first user, with a set of images comprising respective reference facial images of different people; receive, via the network interface, from the user device a selection by the first user of a plurality of reference facial images in the set of images; characterize a plurality of facial features of respective reference faces using a facial feature recognition engine, the respective faces comprising faces included in the reference facial images selected by the first user; apply respective weights to the plurality of facial features of respective reference faces; use the weighted plurality of facial features to identify a plurality of users that have one or more facial features similar to one or more of the weighted plurality of facial features, wherein the respective reference faces include faces different than the faces of the plurality of users; generate respective similarity scores for the identified plurality of users that have one or more facial features similar to one or more of the weighted plurality of facial features; use the generated respective similarity scores for the identified plurality of users that have one or more facial features similar to one or more of the weighted plurality of facial features to generate a ranking of the identified plurality of users; cause a second user interface to be displayed on the user device, the second user interface populated, in ranked order in association with respective similarity scores, with the identified plurality of users that have one or more facial features similar to one or more of the weighted plurality of facial features; receive, via the second user interface, a selection, by the first user, from the user device, of a second user in the plurality of users that have one or more facial features similar to one or more of the weighted plurality of facial features; and enable the first user and the second user to communicate over at least a first electronic communication channel.
8. A computerized method, the method comprising: populating, using a computer system comprising hardware, a first user interface, for display on a user device associated with a first user, with images comprising respective reference facial images of different people; receiving, at the computer system from the user device, a selection by the first user of a plurality of reference facial images; characterizing a plurality of facial features of respective reference faces using a facial feature recognition engine, the respective faces comprising faces included in the reference facial images selected by the first user; applying respective weights to the plurality of facial features of respective reference faces; using the weighted plurality of facial features to identify a plurality of users that have one or more facial features similar to one or more of the weighted plurality of facial features, wherein the respective reference faces include faces different than the faces of the plurality of users; generating respective similarity scores for the identified plurality of users that have one or more facial features similar to one or more of the weighted plurality of facial features; using the generated respective similarity scores for the identified plurality of users that have one or more facial features similar to one or more of the weighted plurality of facial features to generate a ranking of the identified plurality of users; causing a second user interface to be displayed on the user device, the second user interface populated, in ranked order, with the identified plurality of users that have one or more facial features similar to one or more of the weighted plurality of facial features; receiving, via the second user interface, a selection, by the first user, from the user device, of a second user in the plurality of users that have one or more facial features similar to one or more of the weighted plurality of facial features; and enabling the first user and the second user to communicate over at least a first electronic communication channel.
Claims 1-20 are rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1-21 of U.S. Patent No. 12,300,027. Although the claims at issue are not identical, they are not patentably distinct from each other because the present claims are either anticipated by or obvious variants of the patent claims. The following table shows the corresponding limitations between representative claims and representative patent claims.
Present Application Claims
Patent claims
1. A facial feature matching system, comprising: a network interface; and at least one processing device operable to: populate a first user interface, for display on a user device associated with a first user, with a set of images comprising faces having associated facial features; receive, via the network interface, from the user device a selection by the first user of one or more of images comprising faces having associated facial features in the set of images; identify a plurality of users having one or more facial features similar to one or more facial features of the faces having associated facial features in the set of images, wherein the faces in the set of images includes faces different than faces associated with respective users in the plurality of users; cause a second user interface to be displayed on the user device, the second user interface populated with the images comprising faces associated with the identified plurality of users that that are associated with one or more facial features similar to one or more of the facial features of the faces having associated facial features in the set of images; receive from the user device, via the second user interface, a selection by the first user of a second user in the plurality of users that that is associated with one or more facial features similar to one or more of the facial features of the faces having associated facial features in the set of images; and enable the first user and the second user to communicate over at least a first electronic communication channel.
11. A computerized method, the method comprising: using a computer system comprising hardware to populate, on a user device associated with a first user, a first user interface with a set of images of different people, the set of images comprising faces having associated facial features; receiving, at the computer system from the user device, a selection by the first user of one or more images comprising faces having associated facial features; using an artificial intelligence engine to identify a plurality of users that that are associated with one or more facial features similar to one or more of the facial features of faces in the set of images, wherein the set of images includes faces different than faces associated with respective users in the plurality of users; causing a second user interface to be displayed on the user device, the second user interface populated with faces associated with at least a portion of the identified plurality of users that that are associated with one or more facial features similar to one or more of the facial features of faces in the set of images; receiving, via the second user interface, a selection, by the first user, from the user device, of a second user in the plurality of users associated with one or more facial features similar to one or more of the facial features of faces in the set of images; and enabling the first user and the second user to communicate over at least a first electronic communication channel.
1. A facial feature matching system, comprising: a network interface; and at least one processing device operable to: populate a first user interface, for display on a user device associated with a first user, with a set of images comprising respective reference facial images of different people; receive, via the network interface, from the user device a selection by the first user of a plurality of reference facial images in the set of images; characterize a plurality of facial feature s of respective reference faces using a facial feature recognition engine, the respective faces comprising faces included in the reference facial images selected by the first user; use the characterized plurality of facial features to identify a plurality of users that have one or more facial features similar to one or more of the characterized plurality of facial features, wherein the respective reference faces include faces different than faces of the plurality of users; generate respective similarity indicators for the identified plurality of users that have one or more facial features similar to one or more of the characterized plurality of facial features; use the generated respective similarity indicators for the identified plurality of users that have one or more facial features similar to one or more of the characterized plurality of facial features to select which of the identified plurality of users that have one or more facial features similar to one or more of the characterized plurality of facial features are to be presented to the first user; cause a second user interface to be displayed on the user device, the second user interface populated with faces of the identified plurality of users selected using the generated respective similarity indicators; receive, via the second user interface, a selection, by the first user, from the user device, of a second user in the identified plurality of users selected using the generated respective similarity indicators; and enable the first user and the second user to communicate over at least a first electronic communication channel.
8. A computerized method, the method comprising: populating, using a computer system comprising hardware, a first user interface, for display on a user device associated with a first user, with images comprising respective reference facial images of different people; receiving, at the computer system from the user device, a selection by the first user of a plurality of reference facial images; characterizing a plurality of facial features of respective reference faces using a facial feature recognition engine, the respective faces comprising faces included in the reference facial images selected by the first user; using the characterized plurality of facial features to identify a plurality of users that have one or more facial features similar to one or more of the characterized plurality of facial features, wherein the respective reference faces include faces different than faces of the plurality of users; generating respective similarity indicators for the identified plurality of users that have one or more facial features similar to one or more of the characterized plurality of facial features; using the generated respective similarity indicators for the identified plurality of users that have one or more facial features similar to one or more of the characterized plurality of facial features to select which of the identified plurality of users that have one or more facial features similar to one or more of the characterized plurality of facial features are to be presented to the first user; causing a second user interface to be displayed on the user device, the second user interface populated with faces of the identified plurality of users selected using the generated respective similarity indicators; receiving, via the second user interface, a selection, by the first user, from the user device, of a second user in the identified plurality of users selected using the generated respective similarity indicators; and enabling the first user and the second user to communicate over at least a first electronic communication channel.
Conclusion
Any inquiry concerning this communication or earlier communications from the examiner should be directed to PHUOC TRAN whose telephone number is (571)272-7399. The examiner can normally be reached 9am-5pm.
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/PHUOC TRAN/Primary Examiner, Art Unit 2668
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