Collaborative augmented reality eyewear with ego motion alignment
US-2024221220-A1 · Jul 4, 2024 · US
US9947106B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9947106-B2 |
| Application number | US-201514975665-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 18, 2015 |
| Priority date | Dec 18, 2014 |
| Publication date | Apr 17, 2018 |
| Grant date | Apr 17, 2018 |
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A method and an electronic device for object tracking in a sequence of light-field captures. A data acquisition unit acquires a sequence of light-field captures, wherein each light-field capture comprises a plurality of views. A feature determining unit determines features of an initial visual appearance model for an object of interest in a reference view of a first light-field capture. A feature matching unit matches the features in the reference view and in the further views of the first light-field capture. A feature discarding unit discards features that cannot be well matched in all views of the first light-field capture. An appearance model building unit builds an updated visual appearance model for the object of interest based on the remaining features. Finally, a movement tracking unit tracks the movement of the object of interest in the sequence of light-field captures using the visual appearance model.
Opening claim text (preview).
What is claimed, is: 1. A method for object tracking in a sequence of light-field captures, the method comprising: acquiring a sequence of light-field captures with a light-field camera, each light-field capture having a plurality of views, the plurality of views corresponding to displaced viewpoints of the camera in a two dimensional plane, which is perpendicular to a main axis of the camera, one view among the plurality of views being a reference view; determining features of an initial visual appearance model for an object of interest in the reference view of a first light-field capture; matching the features in the reference view and in the further views of the first light-field capture; discarding features that cannot be matched in all or most of the views of the first light-field capture; building an updated visual appearance model for the object of interest based on the remaining features; and tracking a movement of the object of interest in the sequence of light-field captures using the visual appearance model. 2. The method according to claim 1 , wherein the views of each light-field capture are acquired in a timely synchronized manner. 3. The method according to claim 1 , wherein the matching of the features in the reference view and in the further views of the first light-field capture is based on a similarity metric score. 4. A non-transitory computer readable storage medium having stored therein instructions enabling object tracking in a sequence of light-field captures, which, when executed by a computer, cause the computer to: acquire a sequence of light-field captures with a light-field camera, each light-field capture having a plurality of views, the plurality of views corresponding to displaced viewpoints of the camera in a two dimensional plane, which is perpendicular to a main axis of the camera, and one view among the plurality of views being a reference view; determine features of an initial visual appearance model for an object of interest in the reference view of a first light-field capture; match the features in the reference view and in the further views of the first light-field capture; discard features that cannot be matched in all or most of the views of the first light-field capture; build an updated visual appearance model for the object of interest based on the remaining features; and track a movement of the object of interest in the sequence of light-field captures using the visual appearance model. 5. The non-transitory computer readable storage medium according to claim 4 , wherein the instructions cause the computer to acquire the views of each light-field capture in a timely synchronized manner. 6. The non-transitory computer readable storage medium according to claim 4 , wherein the matching of the features in the reference view and in the further views of the first light-field capture is based on a similarity metric score. 7. An electronic device for object tracking in a sequence of light-field captures, wherein the electronic device comprises: a processor coupled to a memory, the processor being configured to: acquire a sequence of light-field captures with a light-field camera, wherein each light-field capture comprises a plurality of views, the plurality of views corresponding to displaced viewpoints of the camera in a two dimensional plane, which is perpendicular to a main axis of the camera, one view among the plurality of views being a reference view; determine features of an initial visual appearance model for an object of interest in the reference view of a first light-field capture; match the features in the reference view and in the further views of the first light-field capture; discard features that cannot be matched in all or most of the views of the first light-field capture; build an updated visual appearance model for the object of interest based on the remaining features; track a movement of the object of interest in the sequence of light-field captures using the visual appearance model; and output data relative to the movement of the object of interest in the sequence of light-field captures. 8. The electronic device according to claim 7 , wherein the processor is coupled to a light-field camera. 9. The electronic device according to claim 7 , wherein the processor is configured to acquire the views of each light-field capture in a timely synchronized manner. 10. An electronic device for object tracking in a sequence of light-field captures, the electronic device comprising a processing device and a memory device having stored therein instructions, which, when executed by the processing device, cause the electronic device to: acquire a sequence of light-field captures with a light-field camera, each light-field capture having a plurality of views, the plurality of views corresponding to displaced viewpoints of the camera in a two dimensional plane, which is perpendicular to a main axis of the camera, one view among the plurality of views being a reference view; determine features of an initial visual appearance model for an object of interest in the reference view of a first light-field capture; match the features in the reference view and in the further views of the first light-field capture; discard features that cannot be matched in all or most of the views of the first light-field capture; build an updated visual appearance model for the object of interest based on the remaining features; and track a movement of the object of interest in the sequence of light-field captures using the visual appearance model. 11. The electronic device according to claim 7 , wherein the processor is configured to match the features in the reference view and in the further views of the first light-field capture based on a similarity metric score. 12. An apparatus for processing image data, in particular video post-production system or video surveillance system, comprising the electronic device according to claim 7 or 10 . 13. The electronic device according to claim 10 , wherein the electronic device is coupled to a light-field camera. 14. The electronic device according to claim 10 , wherein the instructions cause the electronic device to acquire the views of each light-field capture in a timely synchronized manner. 15. The electronic device according to claim 10 , wherein the processing device causes the electronic device to match the features in the reference view and in the further views of the first light-field capture based on a similarity metric score.
based on appearance, e.g. active appearance models [AAM] · CPC title
Physics · mapped topic
Video; Image sequence · CPC title
Images from lightfield camera · CPC title
Physics · mapped topic
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