Occlusion detection system
US-11151408-B2 · Oct 19, 2021 · US
US11687150B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11687150-B2 |
| Application number | US-202117361857-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 29, 2021 |
| Priority date | Sep 10, 2019 |
| Publication date | Jun 27, 2023 |
| Grant date | Jun 27, 2023 |
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An occlusion detection system to perform operations that include: capturing image data that depicts an environment at a client device, the environment including a target object at a position within the environment; causing display of a presentation of the environment at the client device, the presentation of the environment including a display of the target object at the position within the environment; detecting a first attribute of the display of the target object at the client device; performing a comparison of the first attribute of the display of the target object and a second attribute associated with the target object; and detecting an occlusion based on the comparison.
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What is claimed is: 1. A method comprising: accessing first image data from a first client device, the first image data comprising a first display of an object; detecting a first attribute of the object based on the first image data; accessing second image data from a second client device, the second image data comprising a second display of the object; detecting a second attribute of the object based on the second image data; performing a comparison of the first attribute and the second attribute; detecting an occlusion based on the comparison the occlusion comprising a semantic feature; and causing display of media content based on the semantic feature of the occlusion. 2. The method of claim 1 , wherein the first attribute and the second attribute comprise pixel color values. 3. The method of claim 1 , wherein the detecting the first attribute of the object based on the first image data further comprises: determining a location of the client device; accessing a repository based on the location of the client device; identifying the object based on the accessing the repository based on the location of the client device; and detecting the first attribute based on the identifying the object. 4. The method of claim 1 , wherein the method further comprises: causing display of the media content based on the semantic feature and a position of the occlusion. 5. The method of claim 1 , wherein the media content comprises augmented-reality content. 6. The method of claim 1 , wherein the first attribute and the second attribute comprise semantic features. 7. The method of claim 1 , wherein the method further comprises: determining a location of the first client device; accessing a repository based on the location of the first client device; and updating a record associated with the object within the repository based on the first attribute. 8. A system comprising: a memory; and at least one hardware processor coupled to the memory and comprising instructions that causes the system to perform operations comprising: accessing first image data from a first client device, the first image data comprising a first display of an object; detecting a first attribute of the object based on the first image data; accessing second image data from a second client device, the second image data comprising a second display of the object; detecting a second attribute of the object based on the second image data; performing a comparison of the first attribute and the second attribute; detecting an occlusion based on the comparison the occlusion comprising a semantic feature; and causing display of media content based on the semantic feature of the occlusion. 9. The system of claim 8 , wherein the first attribute and the second attribute comprise pixel color values. 10. The system of claim 8 , wherein the detecting the first attribute of the object based on the first image data further comprises: determining a location of the client device; accessing a repository based on the location of the client device; identifying the object based on the accessing the repository based on the location of the client device; and detecting the first attribute based on the identifying the object. 11. The system of claim 8 , wherein the operations further comprise: causing display of the media content based on a position of the occlusion. 12. The system of claim 8 , wherein the media content comprises augmented-reality content. 13. The system of claim 8 , wherein the first attribute and the second attribute comprise semantic features. 14. The system of claim 8 , wherein the operations further comprise: determining a location of the first client device; accessing a repository based on the location of the first client device; and updating a record associated with the object within the repository based on the first attribute. 15. A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising: accessing first image data from a first client device, the first image data comprising a first display of an object; detecting a first attribute of the object based on the first image data; accessing second image data from a second client device, the second image data comprising a second display of the object; detecting a second attribute of the object based on the second image data; performing a comparison of the first attribute and the second attribute; detecting an occlusion based on the comparison the occlusion comprising a semantic feature; and causing display of media content based on the semantic feature of the occlusion. 16. The non-transitory machine-readable storage medium of claim 15 , wherein the first attribute and the second attribute comprise pixel color values. 17. The non-transitory machine-readable storage medium of claim 15 , wherein the detecting the first attribute of the object based on the first image data further comprises: determining a location of the client device; accessing a repository based on the location of the client device; identifying the object based on the accessing the repository based on the location of the client device; and detecting the first attribute based on the identifying the object. 18. The non-transitory machine-readable storage medium of claim 15 , wherein the operations further comprise: causing display of the media content based on a position of e occlusion. 19. The non-transitory machine-readable storage medium of claim 15 , wherein the media content comprises augmented-reality content. 20. The non-transitory machine-readable storage medium of claim 15 , wherein the first attribute and the second attribute comprise semantic features.
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