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公开(公告)号：US09916330B2
公开(公告)日：2018-03-13
申请号：US15044009
申请日：2016-02-15
Applicant: Apple Inc.
Inventor： Sebastian Lieberknecht , Peter Meier
CPC classification number: G06F17/30277 , G06F3/011 , G06F17/30011 , G06F17/30247 , G06F17/30256 , G06K9/00442 , G06K9/00671
Abstract: A method for analyzing an image of a real object, generated by at least one camera includes the following steps: generating at least a first image by the camera capturing at least one real object, defining a first search domain comprising multiple data sets of the real object, each of the data sets being indicative of a respective portion of the real object, and analyzing at least one characteristic property of the first image with respect to the first search domain, in order to determine whether the at least one characteristic property corresponds to information of at least a particular one of the data sets of the first search domain. If it is determined that the at least one characteristic property corresponds to information of at least a particular one of the data sets, a second search domain comprising only the particular one of the data sets is defined and the second search domain is used for analyzing the first image and/or at least a second image.
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公开(公告)号：US11968479B2
公开(公告)日：2024-04-23
申请号：US17663533
申请日：2022-05-16
Applicant: Apple Inc.
Inventor： Peter Meier , Sebastian Lieberknecht
CPC classification number: H04N7/185 , G06T7/251 , G06T7/579 , G06T7/70 , G06T17/10 , G06T2207/10016 , G06T2207/30244 , G06T2207/30264
Abstract: A method of tracking a mobile device comprising at least one camera in a real environment comprises the steps of receiving image information associated with at least one image captured by the at least one camera, generating a first geometrical model of at least part of the real environment based on environmental data or mobile system state data acquired in an acquisition process by at least one sensor of a mobile system, which is different from the mobile device, and performing a tracking process based on the image information associated with the at least one image and at least partially according to the first geometrical model, wherein the tracking process determines at least one parameter of a pose of the mobile device relative to the real environment. The invention is also related to a method of generating a geometrical model of at least part of a real environment using image information from at least one camera of a mobile device.
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公开(公告)号：US20220279147A1
公开(公告)日：2022-09-01
申请号：US17663533
申请日：2022-05-16
Applicant: Apple Inc.
Inventor： Peter Meier , Sebastian Lieberknecht
Abstract: A method of tracking a mobile device comprising at least one camera in a real environment comprises the steps of receiving image information associated with at least one image captured by the at least one camera, generating a first geometrical model of at least part of the real environment based on environmental data or mobile system state data acquired in an acquisition process by at least one sensor of a mobile system, which is different from the mobile device, and performing a tracking process based on the image information associated with the at least one image and at least partially according to the first geometrical model, wherein the tracking process determines at least one parameter of a pose of the mobile device relative to the real environment. The invention is also related to a method of generating a geometrical model of at least part of a real environment using image information from at least one camera of a mobile device
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公开(公告)号：US10582166B2
公开(公告)日：2020-03-03
申请号：US16180457
申请日：2018-11-05
Applicant: Apple Inc.
Inventor： Peter Meier , Sebastian Lieberknecht
Abstract: A method of tracking a mobile device comprising at least one camera in a real environment comprises the steps of receiving image information associated with at least one image captured by the at least one camera, generating a first geometrical model of at least part of the real environment based on environmental data or mobile system state data acquired in an acquisition process by at least one sensor of a mobile system, which is different from the mobile device, and performing a tracking process based on the image information associated with the at least one image and at least partially according to the first geometrical model, wherein the tracking process determines at least one parameter of a pose of the mobile device relative to the real environment. The invention is also related to a method of generating a geometrical model of at least part of a real environment using image information from at least one camera of a mobile device.
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公开(公告)号：US20190075274A1
公开(公告)日：2019-03-07
申请号：US16180457
申请日：2018-11-05
Applicant: Apple Inc.
Inventor： Peter Meier , Sebastian Lieberknecht
Abstract: A method of tracking a mobile device comprising at least one camera in a real environment comprises the steps of receiving image information associated with at least one image captured by the at least one camera, generating a first geometrical model of at least part of the real environment based on environmental data or mobile system state data acquired in an acquisition process by at least one sensor of a mobile system, which is different from the mobile device, and performing a tracking process based on the image information associated with the at least one image and at least partially according to the first geometrical model, wherein the tracking process determines at least one parameter of a pose of the mobile device relative to the real environment. The invention is also related to a method of generating a geometrical model of at least part of a real environment using image information from at least one camera of a mobile device
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Patent Agency Ranking
公开(公告)号：US10121247B2
公开(公告)日：2018-11-06
申请号：US15167391
申请日：2016-05-27
Applicant: Apple Inc.
Inventor： Peter Meier , Sebastian Lieberknecht
Abstract: A method of tracking a mobile device comprising at least one camera in a real environment comprises the steps of receiving image information associated with at least one image captured by the at least one camera, generating a first geometrical model of at least part of the real environment based on environmental data or mobile system state data acquired in an acquisition process by at least one sensor of a mobile system, which is different from the mobile device, and performing a tracking process based on the image information associated with the at least one image and at least partially according to the first geometrical model, wherein the tracking process determines at least one parameter of a pose of the mobile device relative to the real environment. The invention is also related to a method of generating a geometrical model of at least part of a real environment using image information from at least one camera of a mobile device.
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公开(公告)号：US20180018541A1
公开(公告)日：2018-01-18
申请号：US15213018
申请日：2016-07-18
Applicant: Apple Inc.
Inventor： Lejing Wang , Daniel Ulbricht , Lorenz Kern , Sebastian Lieberknecht , Tobias Holl
CPC classification number: G06K9/6267 , G06K9/6298 , G06T7/11 , G06T7/136 , G06T7/143 , G06T7/194 , G06T2207/20012 , H04N5/2253 , H04N5/2254
Abstract: Systems, methods, and computer readable media to categorize a pixel (or other element) in an image into one of a number of different categories are described. In general, techniques are disclosed for using properties (e.g., statistics) of the regions being categorized to determine the appropriate size of window around a target pixel (element) and, when necessary, the manner in which the window may be changed if the current size is inappropriate. More particularly, adaptive window size selection techniques are disclosed for use when categorizing an image's pixels into one of two categories (e.g., black or white). Statistics of the selected region may be cascaded to determine whether the current evaluation window is acceptable and, if it is not, an appropriate factor by which to change the currently selected window's size
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公开(公告)号：US09830715B2
公开(公告)日：2017-11-28
申请号：US14961557
申请日：2015-12-07
Applicant: Apple Inc.
Inventor： Selim Benhimane , Sebastian Lieberknecht
CPC classification number: G06T7/70 , G06T7/251 , G06T7/579 , G06T7/75 , G06T2207/30244
Abstract: The specification relates to determining either or both of the pose of a camera with respect to a real object or a three dimensional structure of the real object. In some of the described embodiments, a captured image including the real object is analyzed with respect to a reference image that also includes the real object. A parameter set is estimated by using a homography between the reference image and the captured image. An update to the parameter set is made by using an iterative minimization process that includes comparing a first set of pixels in the reference image with a computed set of pixels in the captured image, where the computed set of pixels used for comparison varies in different iterations of the iterative minimization process.
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公开(公告)号：US10176402B2
公开(公告)日：2019-01-08
申请号：US15213018
申请日：2016-07-18
Applicant: Apple Inc.
Inventor： Lejing Wang , Daniel Ulbricht , Lorenz Kern , Sebastian Lieberknecht , Tobias Hall
Abstract: Systems, methods, and computer readable media to categorize a pixel (or other element) in an image into one of a number of different categories are described. In general, techniques are disclosed for using properties (e.g., statistics) of the regions being categorized to determine the appropriate size of window around a target pixel (element) and, when necessary, the manner in which the window may be changed if the current size is inappropriate. More particularly, adaptive window size selection techniques are disclosed for use when categorizing an image's pixels into one of two categories (e.g., black or white). Statistics of the selected region may be cascaded to determine whether the current evaluation window is acceptable and, if it is not, an appropriate factor by which to change the currently selected window's size.
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公开(公告)号：US20180307708A1
公开(公告)日：2018-10-25
申请号：US15919892
申请日：2018-03-13
Applicant: Apple Inc.
Inventor： Sebastian Lieberknecht , Peter Meier
CPC classification number: G06F16/532 , G06F3/011 , G06F16/583 , G06F16/5838 , G06F16/93 , G06K9/00442 , G06K9/00671
Abstract: A method for analyzing an image of a real object, generated by at least one camera includes the following steps: generating at least a first image by the camera capturing at least one real object, defining a first search domain comprising multiple data sets of the real object, each of the data sets being indicative of a respective portion of the real object, and analyzing at least one characteristic property of the first image with respect to the first search domain, in order to determine whether the at least one characteristic property corresponds to information of at least a particular one of the data sets of the first search domain. If it is determined that the at least one characteristic property corresponds to information of at least a particular one of the data sets, a second search domain comprising only the particular one of the data sets is defined and the second search domain is used for analyzing the first image and/or at least a second image.
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