公开(公告)号：US09465980B2

公开(公告)日：2016-10-11

申请号：US14478778

申请日：2014-09-05

Applicant: Microsoft Technology Licensing, LLC

Inventor： Robert Matthew Craig ,  Tommer Leyvand ,  Craig Peeper ,  Momin M. Al-Ghosien ,  Matt Bronder ,  Oliver Williams ,  Ryan M. Geiss ,  Jamie Daniel Joseph Shotton ,  Johnny Lee ,  Mark Finocchio

IPC: G06K9/00 ,  G06F3/033 ,  G06T19/00 ,  A63F13/428 ,  G06F3/01 ,  G06T17/10 ,  H04N7/18

CPC classification number: G06K9/00335 ,  A63F13/428 ,  A63F2300/1006 ,  A63F2300/1093 ,  G06F3/011 ,  G06F3/033 ,  G06K9/00369 ,  G06T17/10 ,  G06T19/00

Abstract: A method of tracking a subject includes receiving from a source a depth image of a scene including the subject. The depth image includes a depth for each of a plurality of pixels. The method further includes identifying pixels of the depth image that image the subject and deriving from the identified pixels of the depth image one or more machine readable data structures representing the subject as a model including a plurality of shapes.

Abstract translation: 跟踪对象的方法包括从源接收包括对象的场景的深度图像。 深度图像包括用于多个像素中的每一个的深度。 所述方法还包括识别图像所述对象的所述深度图像的像素，以及从所识别的所述深度图像的像素中导出表示所述对象的一个​​或多个机器可读数据结构作为包括多个形状的模型。

公开(公告)号：US09304594B2

公开(公告)日：2016-04-05

申请号：US13862196

申请日：2013-04-12

Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor： Mark Finocchio ,  Alexandru Balan ,  Nathan Ackerman ,  Jeffrey Margolis

IPC: G09G5/00 ,  G06F3/048 ,  G06F3/01

CPC classification number: G06F3/017 ,  G06F3/011

Abstract: Methods for recognizing gestures within a near-field environment are described. In some embodiments, a mobile device, such as a head-mounted display device (HMD), may capture a first image of an environment while illuminating the environment using an IR light source with a first range (e.g., due to the exponential decay of light intensity) and capture a second image of the environment without illumination. The mobile device may generate a difference image based on the first image and the second image in order to eliminate background noise due to other sources of IR light within the environment (e.g., due to sunlight or artificial light sources). In some cases, object and gesture recognition techniques may be applied to the difference image in order to detect the performance of hand and/or finger gestures by an end user of the mobile device within a near-field environment of the mobile device.

Abstract translation: 描述在近场环境中识别手势的方法。 在一些实施例中，诸如头戴式显示设备（HMD）的移动设备可以使用具有第一范围的IR光源（例如，由于指示衰减的指数衰减而捕获环境的第一图像，同时照亮环境 光强度），并捕获环境的第二个图像而无需照明。 移动设备可以基于第一图像和第二图像生成差异图像，以消除由于环境中的其他IR光源（例如，由于阳光或人造光源）引起的背景噪声。 在一些情况下，可以将对象和手势识别技术应用于差异图像，以便在移动设备的近场环境内检测移动设备的最终用户的手和/或手指手势的性能。