Method of providing image feature descriptors

    公开(公告)号:US10192145B2

    公开(公告)日:2019-01-29

    申请号:US15444404

    申请日:2017-02-28

    Applicant: Apple Inc.

    Abstract: A method of providing a set of feature descriptors configured to be used in matching an object in an image of a camera is provided. The method includes: a) providing at least two images of a first object; b) extracting in at least two of the images at least one feature from the respective image, c) providing at least one descriptor for an extracted feature, and storing the descriptors; d) matching descriptors in the first set of descriptors; e) computing a score parameter based on the result of the matching process; f) selecting at least one descriptor based on its score parameter; g) adding the selected descriptor(s) to a second set of descriptors; and h) updating the score parameter of descriptors in the first set based on a selection process and to the result of the matching process.

    Method of determining a similarity transformation between first and second coordinates of 3D features

    公开(公告)号:US10762386B2

    公开(公告)日:2020-09-01

    申请号:US16530694

    申请日:2019-08-02

    Applicant: Apple Inc.

    Abstract: The invention is related to a method of determining a similarity transformation between first coordinates and second coordinates of 3D features, comprising providing a first plurality of 3D features having first coordinates in a first coordinate system which is associated with a first geometrical model of a first real object, wherein the first plurality of 3D features describes physical 3D features of the first real object, providing a second coordinate system, providing image information associated with a plurality of images captured by at least one camera, for each respective 3D feature of at least part of the first plurality of 3D features, wherein the respective 3D feature is captured by at least two of the plurality of images, determining camera poses of the at least one camera in the second coordinate system while the at least two of the plurality of images are captured, determining for the respective 3D feature a second coordinate in the second coordinate system according to the at least two of the plurality of images and the camera poses, and the method further comprising determining a similarity transformation between the first coordinates and the second coordinates of the at least part of the first plurality of 3D features, wherein the similarity transformation includes at least one translation, at least one rotation, at least one scale and/or their combinations in 3D space.

    Method of Providing Image Feature Descriptors

    公开(公告)号:US20190362179A1

    公开(公告)日:2019-11-28

    申请号:US16531678

    申请日:2019-08-05

    Applicant: Apple Inc.

    Abstract: A method of providing a set of feature descriptors configured to be used in matching an object in an image of a camera is provided. The method includes: a) providing at least two images of a first object; b) extracting in at least two of the images at least one feature from the respective image, c) providing at least one descriptor for an extracted feature, and storing the descriptors; d) matching descriptors in the first set of descriptors; e) computing a score parameter based on the result of the matching process; f) selecting at least one descriptor based on its score parameter; g) adding the selected descriptor(s) to a second set of descriptors; and h) updating the score parameter of descriptors in the first set based on a selection process and to the result of the matching process.

    Method of Providing Image Feature Descriptors

    公开(公告)号:US20190156143A1

    公开(公告)日:2019-05-23

    申请号:US16259367

    申请日:2019-01-28

    Applicant: Apple Inc.

    CPC classification number: G06K9/623 G06K9/46 G06K9/4671 G06K9/6255 G06K9/6262

    Abstract: A method of providing a set of feature descriptors configured to be used in matching an object in an image of a camera is provided. The method includes: a) providing at least two images of a first object; b) extracting in at least two of the images at least one feature from the respective image, c) providing at least one descriptor for an extracted feature, and storing the descriptors; d) matching descriptors in the first set of descriptors; e) computing a score parameter based on the result of the matching process; f) selecting at least one descriptor based on its score parameter; g) adding the selected descriptor(s) to a second set of descriptors; and h) updating the score parameter of descriptors in the first set based on a selection process and to the result of the matching process.

    Method of Determining a Similarity Transformation Between First and Second Coordinates of 3D Features

    公开(公告)号:US20190354799A1

    公开(公告)日:2019-11-21

    申请号:US16530694

    申请日:2019-08-02

    Applicant: Apple Inc.

    Abstract: The invention is related to a method of determining a similarity transformation between first coordinates and second coordinates of 3D features, comprising providing a first plurality of 3D features having first coordinates in a first coordinate system which is associated with a first geometrical model of a first real object, wherein the first plurality of 3D features describes physical 3D features of the first real object, providing a second coordinate system, providing image information associated with a plurality of images captured by at least one camera, for each respective 3D feature of at least part of the first plurality of 3D features, wherein the respective 3D feature is captured by at least two of the plurality of images, determining camera poses of the at least one camera in the second coordinate system while the at least two of the plurality of images are captured, determining for the respective 3D feature a second coordinate in the second coordinate system according to the at least two of the plurality of images and the camera poses, and the method further comprising determining a similarity transformation between the first coordinates and the second coordinates of the at least part of the first plurality of 3D features, wherein the similarity transformation includes at least one translation, at least one rotation, at least one scale and/or their combinations in 3D space.

    Method of providing image feature descriptors

    公开(公告)号:US10402684B2

    公开(公告)日:2019-09-03

    申请号:US16259367

    申请日:2019-01-28

    Applicant: Apple Inc.

    Abstract: A method of providing a set of feature descriptors configured to be used in matching an object in an image of a camera is provided. The method includes: a) providing at least two images of a first object; b) extracting in at least two of the images at least one feature from the respective image, c) providing at least one descriptor for an extracted feature, and storing the descriptors; d) matching descriptors in the first set of descriptors; e) computing a score parameter based on the result of the matching process; f) selecting at least one descriptor based on its score parameter; g) adding the selected descriptor(s) to a second set of descriptors; and h) updating the score parameter of descriptors in the first set based on a selection process and to the result of the matching process.

    Method of determining a similarity transformation between first and second coordinates of 3D features

    公开(公告)号:US11308347B2

    公开(公告)日:2022-04-19

    申请号:US17002137

    申请日:2020-08-25

    Applicant: Apple Inc.

    Abstract: The invention is related to a method of determining a similarity transformation between first coordinates and second coordinates of 3D features, comprising providing a first plurality of 3D features having first coordinates in a first coordinate system which is associated with a first geometrical model of a first real object, wherein the first plurality of 3D features describes physical 3D features of the first real object, providing a second coordinate system, providing image information associated with a plurality of images captured by at least one camera, for each respective 3D feature of at least part of the first plurality of 3D features, wherein the respective 3D feature is captured by at least two of the plurality of images, determining camera poses of the at least one camera in the second coordinate system while the at least two of the plurality of images are captured, determining for the respective 3D feature a second coordinate in the second coordinate system according to the at least two of the plurality of images and the camera poses, and the method further comprising determining a similarity transformation between the first coordinates and the second coordinates of the at least part of the first plurality of 3D features, wherein the similarity transformation includes at least one translation, at least one rotation, at least one scale and/or their combinations in 3D space.

    Method of providing image feature descriptors

    公开(公告)号:US10528847B2

    公开(公告)日:2020-01-07

    申请号:US16531678

    申请日:2019-08-05

    Applicant: Apple Inc.

    Abstract: A method of providing a set of feature descriptors configured to be used in matching an object in an image of a camera is provided. The method includes: a) providing at least two images of a first object; b) extracting in at least two of the images at least one feature from the respective image, c) providing at least one descriptor for an extracted feature, and storing the descriptors; d) matching descriptors in the first set of descriptors; e) computing a score parameter based on the result of the matching process; f) selecting at least one descriptor based on its score parameter; g) adding the selected descriptor(s) to a second set of descriptors; and h) updating the score parameter of descriptors in the first set based on a selection process and to the result of the matching process.

    Method of determining a similarity transformation between first and second coordinates of 3D features

    公开(公告)号:US10373018B2

    公开(公告)日:2019-08-06

    申请号:US15028364

    申请日:2013-10-08

    Applicant: Apple Inc.

    Abstract: The invention is related to a method of determining a similarity transformation between first coordinates and second coordinates of 3D features, comprising providing a first plurality of 3D features having first coordinates in a first coordinate system which is associated with a first geometrical model of a first real object, wherein the first plurality of 3D features describes physical 3D features of the first real object, providing a second coordinate system, providing image information associated with a plurality of images captured by at least one camera, for each respective 3D feature of at least part of the first plurality of 3D features, wherein the respective 3D feature is captured by at least two of the plurality of images, determining camera poses of the at least one camera in the second coordinate system while the at least two of the plurality of images are captured, determining for the respective 3D feature a second coordinate in the second coordinate system according to the at least two of the plurality of images and the camera poses, and the method further comprising determining a similarity transformation between the first coordinates and the second coordinates of the at least part of the first plurality of 3D features, wherein the similarity transformation includes at least one translation, at least one rotation, at least one scale and/or their combinations in 3D space.

    METHOD OF PROVIDING IMAGE FEATURE DESCRIPTORS

    公开(公告)号:US20170236033A1

    公开(公告)日:2017-08-17

    申请号:US15444404

    申请日:2017-02-28

    Applicant: Apple Inc.

    CPC classification number: G06K9/623 G06K9/46 G06K9/4671 G06K9/6255 G06K9/6262

    Abstract: A method of providing a set of feature descriptors configured to be used in matching an object in an image of a camera is provided. The method includes: a) providing at least two images of a first object; b) extracting in at least two of the images at least one feature from the respective image, c) providing at least one descriptor for an extracted feature, and storing the descriptors; d) matching descriptors in the first set of descriptors; e) computing a score parameter based on the result of the matching process; f) selecting at least one descriptor based on its score parameter; g) adding the selected descriptor(s) to a second set of descriptors; and h) updating the score parameter of descriptors in the first set based on a selection process and to the result of the matching process.

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