Method for providing position information for retrieving a target position in a microscopic sample, method for examining and/or processing such a target position and means for implementing these methods
US-2024411123-A1 · Dec 12, 2024 · US
US8929602B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8929602-B2 |
| Application number | US-201313756003-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 31, 2013 |
| Priority date | Jan 31, 2013 |
| Publication date | Jan 6, 2015 |
| Grant date | Jan 6, 2015 |
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In a stereoscopic pair of images, global homography at the image level is applied to feature points extracted from connected components (CC) to identify corresponding CC's and feature points, and to discard any CC's that do not have a corresponding pair in the stereoscopic pair of images. Local homography at the CC level is then applied to individual footprint areas of the previously identified paired CC to further clean feature point correspondence. Any CC or feature point or pixel within a paired CC footprint not satisfying local homography constraint is discarded. A correspondence is also extrapolated between unknown pixels within a paired CC footprint using a weighing mechanism and the unknown pixel's surrounding pixels that do have a known correspondence. This provides a dense correspondence of pixels, or feature points, which is then used to create a dense 3D point cloud of identified objects within a 3D space.
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What is claimed is: 1. A method of identifying corresponding objects in first and second images of a stereoscopic pair of images, said method comprising the following steps: (a) determining a first set of connected components from said first image, and a second set of connected components from said second image; (b) determining a first set of feature descriptors from said first set of connected components and a second set of feature descriptors from said second set of connected…
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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