Object detection
US-2019080444-A1 · Mar 14, 2019 · US
Object detection
US10559078B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10559078-B2 |
| Application number | US-201916382840-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 12, 2019 |
| Priority date | Sep 11, 2017 |
| Publication date | Feb 11, 2020 |
| Grant date | Feb 11, 2020 |
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- Title
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Abstract
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This disclosure provides a method for object detection. The method comprises receiving a user input that specifies one or more first regions and one or more second regions in a template image. The one or more second regions include one or more objects of interest. The method further comprises for each of the one or more first regions discovering a third region in an image under detection corresponding to the first region in the template image by matching the image under detection with the template image. The method further comprises computing a transformation function based on the matching from each of the one or more first regions to its corresponding third region. The method further comprises applying the computed transformation function to the one or more second regions to localize one or more fourth regions in the image under detection for the object detection.
First claim
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What is claimed is: 1. A processor-implemented method for object detection, the method comprising: capturing an image under detection, wherein the image under detection is of a product; receiving a user input that specifies one or more first regions and one or more second regions in a template image, wherein the one or more first regions comprise one or more salient parts for matching, wherein the salient parts comprise matrix barcodes or invariant patterns, and wherein the one or more second regions include one or more objects of interest; for each of the one or more first regions, finding a third region in an image under detection corresponding to the first region in the template image by matching the image under detection with the template image by performing template matching via search, wherein template matching via search comprises comparing the image under detection against the template image; computing a transformation function based on the matching from each of the one or more first regions to its corresponding third region, wherein the transformation is either a two-dimensional or three-dimensional transformation, and wherein a subset of the user-specified first regions are selected for use in computing the transformation function based on a level of similarity between a user-specified first region and the corresponding third region in the image under detection; applying the computed transformation function to the one or more second regions to localize one or more fourth regions in the image under detection for the object detection; and detecting a defect in the image under detection, based on the one or more localized fourth regions.
Assignees
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Classifications
the supervisor being a human, e.g. interactive learning with a human teacher · CPC title
Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting · CPC title
- G06V10/25Primary
Determination of region of interest [ROI] or a volume of interest [VOI] · CPC title
- G06T7/001Primary
using an image reference approach · CPC title
Interactive definition of region of interest [ROI] · CPC title
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Frequently asked questions
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- What does patent US10559078B2 cover?
- This disclosure provides a method for object detection. The method comprises receiving a user input that specifies one or more first regions and one or more second regions in a template image. The one or more second regions include one or more objects of interest. The method further comprises for each of the one or more first regions discovering a third region in an image under detection corres…
- Who is the assignee on this patent?
- IBM
- What technology area does this patent fall under?
- Primary CPC classification G06V10/25. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Feb 11 2020 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 6 related publications on this page (citations in our corpus or others sharing the same primary CPC).