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
US2017287162A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2017287162-A1 |
| Application number | US-201415506991-A |
| Country | US |
| Kind code | A1 |
| Filing date | Aug 29, 2014 |
| Priority date | Aug 29, 2014 |
| Publication date | Oct 5, 2017 |
| Grant date | — |
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A method and system for scanning an object using an RGB-D sensor, the method includes: a plurality of elementary scans of the object using an RGB-D sensor and visual odometry, each elementary scan delivering a plurality of key frames associated with a pose of the sensor with respect to the object, and each elementary scan being associated with a position of the object; for each elementary scan, elaborating a three-dimensional model of the object using the plurality of key frames and poses of the scan; merging each three-dimensional model into a merged three-dimensional model of the object.
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1 - 13 . (canceled) 14 : A method for scanning an object comprising: a plurality of elementary scans of the object using an RGB-D sensor and visual odometry, each elementary scan delivering a plurality of key frames associated with a pose of the sensor with respect to the object, and each elementary scan being associated with a position of the object, the position of the object being different between two different elementary scans; for each elementary scan, elaborating a three-dimensional model of the object using the plurality of key frames and poses of the scan; merging each three-dimensional model into a merged three-dimensional model of the object. 15 : The method according to claim 14 , further comprising for each elementary scan a rotation of the object or a rotation of the sensor around the object, the object being in the position associated with the elementary scan. 16 : The method according to claim 15 , wherein loop closure is detected after a revolution of the object or a revolution of the sensor around the object. 17 : The method according to claim 16 , wherein a pose graph optimization is carried out on the poses of each elementary scan after detecting loop closure. 18 : The method according to claim 14 , wherein the elaborating the three-dimensional model for each elementary scan is made using a variational technique using colored signed distance fields and an approximate L 1 minimization. 19 : The method according to claim 14 , wherein the elaborating the merged three-dimensional model of the object comprises a determination of the transformations that transforms each three-dimensional model into an initial three-dimensional model, the determination of the transformations comprising an alignment of each three-dimensional model into the initial three-dimensional model using an approximate L 1 norm. 20 : The method according to claim 14 , further comprising using the marching cube algorithm on the merged three-dimensional model of the object to obtain a three-dimensional mesh of the object. 21 : The method according to claim 14 , wherein positions of the object during at least two elementary scans are different and display different portions of the object to the sensor. 22 : The method according to claim 14 , further comprising a segmentation of each key frame to separate the object from the background on the key frame. 23 : A system for scanning an object, comprising: an RGB-D sensor configured to be directed towards the object; means for scanning the object in a position using the RGB-D sensor and visual odometry, delivering a plurality of key frames associated with a pose of the sensor with respect to the object; means for elaborating a three-dimensional model of the object using a plurality of key frames and poses of a of a scan of the object; means for merging a plurality of three-dimensional models into a merged three-dimensional model of the object. 24 : The system according to claim 23 , further comprising means for rotating the object or rotating the sensor around the object. 25 : The system according to claim 24 , further comprising means for detecting loop closure after a revolution of the object or a revolution of the sensor around the object. 26 : The system according to claim 25 , further comprising means for carrying out a pose-graph optimization on the poses of each elementary scan after detecting loop closure.
involving 3D image data · CPC title
using feature-based methods · CPC title
Range image; Depth image; 3D point clouds · CPC title
from motion · CPC title
Graph-based image processing · CPC title
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