Collaborative augmented reality eyewear with ego motion alignment
US-2024221220-A1 · Jul 4, 2024 · US
System and method for detecting and tracking features in images
US9014465B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9014465-B2 |
| Application number | US-201213401153-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 21, 2012 |
| Priority date | Dec 12, 2006 |
| Publication date | Apr 21, 2015 |
| Grant date | Apr 21, 2015 |
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Abstract
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A system and method for tracking features is provided which allows for the tracking of features that move in a series of images. A training set of images is processed to produce clustered shape subspaces corresponding to the set of images, such that non-linear shape manifolds in the images are represented as piecewise, overlapping linear surfaces that are clustered according to similarities in perspectives. A landmark-based training algorithm (e.g., ASM) is applied to the clustered shape subspaces to train a model of the clustered shape subspaces and to create training data. A subsequent image is processed using the training data to identify features in the target image by creating an initial shape, superimposing the initial shape on the target image, and then iteratively deforming the shape in accordance with the model until a final shape is produced corresponding to a feature in the target image.
First claim
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Having thus described the invention in detail, it is to be understood that the foregoing description is not intended to limit the spirit or scope thereof. What is desired to be protected by Letters Patent is set forth in the appended claims: 1. A method for detecting blinking of a subject and tracking eye movement in a series of images, comprising the steps of: detecting a feature in a set of images corresponding to a subject's eye; comparing the feature to a template of a close…
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Physics · mapped topic
- G06T7/251Primary
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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Frequently asked questions
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- What does patent US9014465B2 cover?
- A system and method for tracking features is provided which allows for the tracking of features that move in a series of images. A training set of images is processed to produce clustered shape subspaces corresponding to the set of images, such that non-linear shape manifolds in the images are represented as piecewise, overlapping linear surfaces that are clustered according to similarities in …
- Who is the assignee on this patent?
- Metaxas Dimitris, Kanaujia Atul, Univ Rutgers
- What technology area does this patent fall under?
- Primary CPC classification G06T7/251. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Apr 21 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).