Object Detection in Image Data Using Depth Segmentation
US-2018150727-A1 · May 31, 2018 · US
US10229312B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10229312-B2 |
| Application number | US-201715849577-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 20, 2017 |
| Priority date | Dec 30, 2016 |
| Publication date | Mar 12, 2019 |
| Grant date | Mar 12, 2019 |
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Systems, methods, and non-transitory computer-readable media can identify one or more objects depicted in a camera view of a camera application displayed on a display of a user device. An augmented reality overlay is determined based on the one or more objects identified in the camera view. The camera view is modified based on the augmented reality overlay.
Opening claim text (preview).
What is claimed is: 1. A computer-implemented method comprising: receiving, by a computing system, user location information indicative of a location of a user; identifying, by the computing system, one or more objects depicted in a camera view of a camera application displayed on a display based on a first object recognition machine learning model, wherein the first object recognition machine learning model is selected from a plurality of object recognition machine learning models based on the user location information; determining, by the computing system, an augmented reality overlay based on the one or more objects identified in the camera view; and modifying, by the computing system, the camera view based on the augmented reality overlay. 2. The computer-implemented method of claim 1 , further comprising downloading to the user device one or more machine learning models associated with the user location information, the one or more machine learning models including the first object recognition machine learning model. 3. The computer-implemented method of claim 1 , wherein the augmented reality overlay comprises context information associated with an object of the one or more objects depicted in the camera view. 4. The computer-implemented method of claim 3 , wherein the context information comprises social networking system information associated with the object. 5. The computer-implemented method of claim 4 , wherein the social networking system information comprises one or more content items associated with the object posted by users of a social networking system. 6. The computer-implemented method of claim 1 , wherein the augmented reality overlay comprises an interactive augmented reality object that appears to interact with an object of the one or more objects depicted in the camera view. 7. The computer-implemented method of claim 6 , wherein the interactive augmented reality object is selected based on an association with the object. 8. The computer-implemented method of claim 1 , wherein the determining the augmented reality overlay comprises presenting a plurality of augmented reality overlays to a user, and receiving a selection of an augmented reality overlay from the plurality of augmented reality overlays. 9. A system comprising: at least one processor; and a memory storing instructions that, when executed by the at least one processor, cause the system to perform a method comprising: receiving user location information indicative of a location of a user; identifying one or more objects depicted in a camera view of a camera application displayed on a display based on a first object recognition machine learning model, wherein the first object recognition machine learning model is selected from a plurality of object recognition machine learning models based on the user location information; determining an augmented reality overlay based on the one or more objects identified in the camera view; and modifying the camera view based on the augmented reality overlay. 10. The system of claim 9 , wherein the method further comprises downloading to the user device one or more machine learning models associated with the user location information, the one or more machine learning models including the first object recognition machine learning model. 11. The system of claim 9 , wherein the augmented reality overlay comprises context information associated with an object of the one or more objects depicted in the camera view. 12. A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform a method comprising: receiving user location information indicative of a location of a user; identifying one or more objects depicted in a camera view of a camera application displayed on a display based on a first object recognition machine learning model, wherein the first object recognition machine learning model is selected from a plurality of object recognition machine learning models based on the user location information; determining an augmented reality overlay based on the one or more objects identified in the camera view; and modifying the camera view based on the augmented reality overlay. 13. The non-transitory computer-readable storage medium of claim 12 , wherein the method further comprises downloading to the user device one or more machine learning models associated with the user location information, the one or more machine learning models including the first object recognition machine learning model. 14. The non-transitory computer-readable storage medium of claim 12 , wherein the augmented reality overlay comprises context information associated with an object of the one or more objects depicted in the camera view.
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Two-dimensional [2D] image generation · CPC title
Business processes related to social networking or social networking services · CPC title
Determining position or orientation of objects or cameras (camera calibration G06T7/80) · CPC title
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