Augmented three-dimensional structure generation
US-2024185524-A1 · Jun 6, 2024 · US
Nonlinear self-calibration for structure from motion (SFM) techniques
US8942422B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8942422-B2 |
| Application number | US-201213724973-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 21, 2012 |
| Priority date | Apr 6, 2012 |
| Publication date | Jan 27, 2015 |
| Grant date | Jan 27, 2015 |
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Abstract
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A nonlinear self-calibration technique that may, for example, be used to convert a projective reconstruction to metric (Euclidian) reconstruction. The self-calibration technique may use a nonlinear least squares optimization technique to infer the parameters. N input images and a projective reconstruction for each image may be obtained. At least two sets of initial values may be determined for an equation to be optimized according to the nonlinear optimization technique to generate a metric reconstruction for the set of N images. The equation may then be optimized using each set of initial values according to the nonlinear optimization technique. The result with a smaller cost may be selected. The metric reconstruction is output. The output may include, but is not limited to, focal length, rotation, and translation values for the N images.
First claim
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What is claimed is: 1. A method, comprising: performing, by one or more computing devices, nonlinear self-calibration on a plurality of images in an image sequence to convert a projective reconstruction for the image sequence to a metric reconstruction of camera motion and camera intrinsic parameters for the image sequence, wherein said performing nonlinear self-calibration comprises: determining at least two sets of initial values for an equation to be optimized according to a n…
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Electricity · mapped topic
- G06T7/579Primary
Physics · mapped topic
Physics · mapped topic
Electricity · mapped topic
Electricity · mapped topic
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- What does patent US8942422B2 cover?
- A nonlinear self-calibration technique that may, for example, be used to convert a projective reconstruction to metric (Euclidian) reconstruction. The self-calibration technique may use a nonlinear least squares optimization technique to infer the parameters. N input images and a projective reconstruction for each image may be obtained. At least two sets of initial values may be determined for …
- Who is the assignee on this patent?
- Adobe Systems Inc
- What technology area does this patent fall under?
- Primary CPC classification G06T7/579. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Jan 27 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).