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公开(公告)号：US10147194B2
公开(公告)日：2018-12-04
申请号：US15589827
申请日：2017-05-08
Applicant: Microsoft Technology Licensing, LLC
Inventor： Craig Peeper , Johnny Lee , Tommer Leyvand , Szymon Stachniak
Abstract: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A background included in the grid of voxels may then be discarded to isolate one or more voxels associated with a foreground object such as a human target and the isolated voxels associated with the foreground object may be processed.
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公开(公告)号：US09821226B2
公开(公告)日：2017-11-21
申请号：US14602333
申请日：2015-01-22
Applicant: Microsoft Technology Licensing, LLC
Inventor： Tommer Leyvand , Johnny Lee , Craig Peeper , Szymon Stachniak , Shao Liu
IPC: G06K9/00 , A63F13/52 , G06F3/01 , A63F13/213 , A63F13/20 , A63F13/40 , G06T7/73 , G06T7/194 , A63F13/428 , G06K9/44 , G06K9/46
CPC classification number: A63F13/52 , A63F13/06 , A63F13/10 , A63F13/213 , A63F13/428 , A63F2300/1075 , A63F2300/6045 , G06F3/017 , G06K9/00342 , G06K9/00362 , G06K9/00711 , G06K9/44 , G06K9/469 , G06T7/194 , G06T7/75 , G06T2207/10028 , G06T2207/30196
Abstract: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A background included in the grid of voxels may also be removed to isolate one or more voxels associated with a foreground object such as a human target. A location or position of one or more extremities of the isolated human target may be determined and a model may be adjusted based on the location or position of the one or more extremities.
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Patent Agency Ranking
公开(公告)号：US09679390B2
公开(公告)日：2017-06-13
申请号：US14143879
申请日：2013-12-30
Applicant: Microsoft Technology Licensing, LLC
Inventor： Craig Peeper , Johnny Lee , Tommer Leyvand , Szymon Stachniak
CPC classification number: G06T7/194 , G06T7/11 , G06T7/215 , G06T7/254 , G06T15/00 , G06T19/00 , G06T2207/10028
Abstract: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A background included in the grid of voxels may then be discarded to isolate one or more voxels associated with a foreground object such as a human target and the isolated voxels associated with the foreground object may be processed.
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公开(公告)号：US09522328B2
公开(公告)日：2016-12-20
申请号：US14477713
申请日：2014-09-04
Applicant: Microsoft Technology Licensing, LLC
Inventor： Tommer Leyvand , Johnny Chung Lee , Szymon Stachniak , Craig Peeper , Shao Liu
CPC classification number: A63F13/52 , A63F13/06 , A63F13/10 , A63F13/213 , A63F13/428 , A63F2300/1075 , A63F2300/6045 , G06F3/017 , G06K9/00342 , G06K9/00362 , G06K9/00711 , G06K9/44 , G06K9/469 , G06T7/194 , G06T7/75 , G06T2207/10028 , G06T2207/30196
Abstract: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A background included in the grid of voxels may also be removed to isolate one or more voxels associated with a foreground object such as a human target. A location or position of one or more extremities of the isolated human target may be determined and a model may be adjusted based on the location or position of the one or more extremities.
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公开(公告)号：US09823764B2
公开(公告)日：2017-11-21
申请号：US14559870
申请日：2014-12-03
Applicant: Microsoft Technology Licensing, LLC
Inventor： Mark Schwesinger , Tommer Leyvand , Szymon Stachniak
IPC: A63F13/213 , G06F3/041 , G06F3/01 , G02B27/01 , G06F3/00 , G06F3/0481 , G06F3/0488 , G06F3/16 , H04N13/02 , G06F3/03
CPC classification number: G06F3/0412 , G02B27/017 , G02B2027/0178 , G06F3/005 , G06F3/011 , G06F3/012 , G06F3/013 , G06F3/017 , G06F3/0304 , G06F3/04815 , G06F3/0488 , G06F3/167 , G06F2203/012 , G06F2203/04101 , G06F2203/04106 , G06F2203/04808 , G06F2206/20 , H04N13/271
Abstract: A method to identify a targeted object based on eye tracking and gesture recognition. The method is enacted in a compute system controlled by a user and operatively coupled to a machine vision system. In this method, the compute system receives, from the machine vision system, video imaging a head and pointer of the user. Based on the video, the compute system computes a geometric line of sight of the user, which is partly occluded by the pointer. Then, with reference to position data for one or more objects, the compute system identifies the targeted object, situated along the geometric line of sight.
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公开(公告)号：US20170278251A1
公开(公告)日：2017-09-28
申请号：US15589827
申请日：2017-05-08
Applicant: Microsoft Technology Licensing, LLC
Inventor： Craig Peeper , Johnny Lee , Tommer Leyvand , Szymon Stachniak
CPC classification number: G06T7/194 , G06T7/11 , G06T7/215 , G06T7/254 , G06T15/00 , G06T19/00 , G06T2207/10028
Abstract: An image such as a depth image of a scene may be received, observed, or captured by a device. A grid of voxels may then be generated based on the depth image such that the depth image may be downsampled. A background included in the grid of voxels may then be discarded to isolate one or more voxels associated with a foreground object such as a human target and the isolated voxels associated with the foreground object may be processed.
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公开(公告)号：US20160162082A1
公开(公告)日：2016-06-09
申请号：US14559870
申请日：2014-12-03
Applicant: Microsoft Technology Licensing, LLC
Inventor： Mark Schwesinger , Tommer Leyvand , Szymon Stachniak
IPC: G06F3/041 , G06F3/16 , H04N13/02 , G06F3/0488 , G06F3/0481 , G02B27/01 , G06F3/01 , G06F3/00
CPC classification number: G06F3/0412 , G02B27/017 , G02B2027/0178 , G06F3/005 , G06F3/011 , G06F3/012 , G06F3/013 , G06F3/017 , G06F3/0304 , G06F3/04815 , G06F3/0488 , G06F3/167 , G06F2203/012 , G06F2203/04101 , G06F2203/04106 , G06F2203/04808 , G06F2206/20 , H04N13/271
Abstract: A method to identify a targeted object based on eye tracking and gesture recognition. The method is enacted in a compute system controlled by a user and operatively coupled to a machine vision system. In this method, the compute system receives, from the machine vision system, video imaging a head and pointer of the user. Based on the video, the compute system computes a geometric line of sight of the user, which is partly occluded by the pointer. Then, with reference to position data for one or more objects, the compute system identifies the targeted object, situated along the geometric line of sight.
Abstract translation: 基于眼睛跟踪和手势识别来识别目标对象的方法。 该方法在由用户控制并且可操作地耦合到机器视觉系统的计算系统中实现。 在该方法中，计算系统从机器视觉系统接收用户的头部和指针的视频成像。 基于视频，计算系统计算用户的几何视线，其被指针部分遮挡。 然后，参考一个或多个对象的位置数据，计算系统识别沿着几何视线位于的目标对象。
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