Composite car image generator
US-2024185574-A1 · Jun 6, 2024 · US
US8971663B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8971663-B2 |
| Application number | US-201213625021-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 24, 2012 |
| Priority date | May 21, 2012 |
| Publication date | Mar 3, 2015 |
| Grant date | Mar 3, 2015 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
A system and method for generating golden template images in a vision system to inspect an acquired runtime image of an object with a multi-layer printed pattern is provided. The system and method performs a registration process on runtime images using registration models each trained on respective canonical layer mask images, and outputting poses. Based upon the poses, warped layer masks are generated. Combination masks are computed based upon differing combinations of the warped layer masks. Intensity values for pixels of the foreground regions for the combination masks are estimated. The estimated intensity values are then blended associated with the combination masks to generate a golden template image. This golden template image can be used to compare with a runtime image. An exemplary application of this system and method is in print inspection on flat and non-flat surfaces.
Opening claim text (preview).
What is claimed is: 1. A method for generating golden template images in a vision system to inspect an acquired runtime image of an object with a multi-layer printed pattern comprising the steps of: performing a registration process on runtime images using registration models each trained on respective canonical layer masks, and outputting poses; based upon the poses, generating warped layer masks; computing combination masks based upon differing combinations of the warped lay…
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Related publications grouped by family.
Free tools are coming soon. Tell us what you want to track and we'll notify you.
Answers are generated from the same data shown on this page.