Method and apparatus for solving position and orientation from correlated point features in images
US-8953847-B2 · Feb 10, 2015 · US
US2016364853A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016364853-A1 |
| Application number | US-201615138644-A |
| Country | US |
| Kind code | A1 |
| Filing date | Apr 26, 2016 |
| Priority date | Jun 10, 2015 |
| Publication date | Dec 15, 2016 |
| Grant date | — |
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 device includes a memory configured to store map point information including a first map point group indicating a three-dimensional position of an object measured by a distance sensor and a second map point group indicating a three-dimensional position of the object determined based on captured images and a processor configured to compare a first projection point group of the first map point group with a feature point group extracted from a new captured image, create pairs of a feature point in the feature point group and a first projection point that is similar to the feature point, when the number of the pairs is less than or equal to a threshold, compare a second projection point group of the second map point group with the feature point group, create other pairs of the feature point and a second projection point, and estimate a position and attitude of a camera.
Opening claim text (preview).
What is claimed is: 1 . An image processing device comprising: a memory configured to store map point information including a first map point group indicating a three-dimensional position of an object measured by a distance sensor and a second map point group indicating a three-dimensional position of the object determined based on a plurality of captured images; and a processor coupled to the memory and configured to: acquire a new captured image including the object, compare a first projection point group with a feature point group extracted from the new captured image, the first projection point group being obtained by projecting the first map point group on the new captured image, create pairs of a feature point in the feature point group and a first projection point that is similar to the feature point, when the number of the pairs is less than or equal to a threshold, compare a second projection point group with the feature point group, the second projection point group being obtained by projecting the second map point group on the new captured image, create other pairs of the feature point and a second projection point that is similar to the feature point, and estimate a position and attitude of a camera that has captured the new captured image based on the pairs, the other pairs, and the map point information. 2 . The image processing device according to claim 1 , wherein the map point information is generated by prioritizing information measured by the distance sensor to information determined based on the plurality of captured images. 3 . The image processing device according to claim 1 , wherein the processor is configured to create the other pairs by prioritizing second map points closer to the camera in the second map point group when the number of the pairs is less than or equal to the threshold. 4 . The image processing device according to claim 1 , wherein for an area where distribution of the first projection point group is less, the processor is configured to select the second map point group projected on the area so that the first projection point group and the second projection point group are distributed in a wide range on the new captured image. 5 . The image processing device according to claim 1 , wherein object information is displayed on the new captured image based on the result. 6 . The image processing device according to claim 5 , wherein the object information is an AR content. 7 . An image processing method executed by a computer, the image processing method comprising: storing, into a memory, map point information including a first map point group indicating a three-dimensional position of an object measured by a distance sensor and a second map point group indicating a three-dimensional position of the object determined based on a plurality of captured images; acquiring a new captured image including the object; comparing a first projection point group with a feature point group extracted from the new captured image, the first projection point group being obtained by projecting the first map point group on the new captured image; creating pairs of a feature point in the feature point group and a first projection point that is similar to the feature point; when the number of the pairs is less than or equal to a threshold, comparing a second projection point group with the feature point group, the second projection point group being obtained by projecting the second map point group on the new captured image; creating other pairs of the feature point and a second projection point that is similar to the feature point; and estimating a position and attitude of a camera that has captured the new captured image based on the pairs, the other pairs, and the map point information. 8 . The image processing method according to claim 7 , wherein the map point information is generated by prioritizing information measured by the distance sensor to information determined based on the plurality of captured images. 9 . The image processing method according to claim 7 , wherein the other pairs is created by prioritizing second map points closer to the camera in the second map point group when the number of the pairs is less than or equal to the threshold. 10 . The image processing method according to claim 7 , wherein for an area where distribution of the first projection point group is less, the second map point group projected on the area is selected so that the first projection point group and the second projection point group are distributed in a wide range on the new captured image. 11 . The image processing method according to claim 7 , wherein object information is displayed on the new captured image based on the result. 12 . The image processing method according to claim 11 , wherein the object information is an AR content. 13 . A non-transitory computer-readable storage medium storing an image processing program for causing a computer to execute a process, the process comprising: storing, into a memory, map point information including a first map point group indicating a three-dimensional position of an object measured by a distance sensor and a second map point group indicating a three-dimensional position of the object determined based on a plurality of captured images; acquiring a new captured image including the object; comparing a first projection point group with a feature point group extracted from the new captured image, the first projection point group being obtained by projecting the first map point group on the new captured image; creating pairs of a feature point in the feature point group and a first projection point that is similar to the feature point; when the number of the pairs is less than or equal to a threshold, comparing a second projection point group with the feature point group, the second projection point group being obtained by projecting the second map point group on the new captured image; creating other pairs of the feature point and a second projection point that is similar to the feature point; and estimating a position and attitude of a camera that has captured the new captured image based on the pairs, the other pairs, and the map point information. 14 . The non-transitory computer-readable storage medium according to claim 13 , wherein the map point information is generated by prioritizing information measured by the distance sensor to information determined based on the plurality of captured images. 15 . The non-transitory computer-readable storage medium according to claim 13 , wherein the other pairs is created by prioritizing second map points closer to the camera in the second map point group when the number of the pairs is less than or equal to the threshold. 16 . The non-transitory computer-readable storage medium according to claim 13 , wherein for an area where distribution of the first projection point group is less, the second map point group projected on the area is selected so that the first projection point group and the second projection point group are distributed in a wide range on the new captured image. 17 . The non-transitory computer-readable storage medium according to claim 13 , wherein object information is displayed on the new captured image based on the result. 18 . The non-transitory computer-readable storage medium according to claim 17 , wherein the object information is an AR content.
Range image; Depth image; 3D point clouds · CPC title
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Camera pose · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.