Collaborative augmented reality eyewear with ego motion alignment
US-2024221220-A1 · Jul 4, 2024 · US
US9014486B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9014486-B2 |
| Application number | US-201213682796-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 21, 2012 |
| Priority date | Nov 21, 2011 |
| Publication date | Apr 21, 2015 |
| Grant date | Apr 21, 2015 |
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An active set of discrete texture traces to a target point is determined in a first video frame and is applied to a second video frame to detect the target location in a second video frame. An estimate is made of the target location in the second video frame. A score map is computed of an area of locations. A location with a highest score in the score map is the new target location. If a threshold value is not met the active set of texture traces is stored. A score map for each of stored active sets is computed to determine the target location. If no score meets the threshold the target location in a previous video frame is made the current target location and a new active set of discrete texture traces is determined. Systems that implement the steps of the methods are also provided.
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The invention claimed is: 1. A method for tracking an image of an object in a plurality of video frames, comprising: a processor determining in a first video frame in the plurality of video frames a set of discrete texture traces to a target location in a patch in the object in the first video frame to establish a reference model, the patch being generated by the set of discrete texture traces that connect to the target location from locations in a finite support region defined by…
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