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    • 14. 发明申请
    • SENSING OBJECT DEPTH WITHIN AN IMAGE
    • 感应对象在图像中的深度
    • US20170061633A1
    • 2017-03-02
    • US14843960
    • 2015-09-02
    • MICROSOFT TECHNOLOGY LICENSING, LLC
    • Nissanka Arachchige Bodhi PriyanthaMatthai PhiliposeJie LiuPengyu Zhang
    • G06T7/00H04N5/225H04N5/33H04N5/376G06K9/62
    • H04N5/33G06K9/00201G06T7/74G06T2207/10021H04N5/23219H04N5/247
    • Aspects extend to methods, systems, and computer program products for sensing object depth within an image. In general, aspects of the invention implement object depth detection techniques having reduced power consumption. The reduced power consumption permits mobile and wearable devices, as well as other devices with reduced power resources, to detect and record objects (e.g., human features). For example, a camera can efficiently detect a conversational partner or attendees at a meeting (possibly providing related real-time cues about people in front of a user). As another example, a human hand detection solution can determine the objects a user is pointing at (by following the direction of the arm) and provide other interaction modalities. Aspects of the invention can use a lower power depth sensor to identify and capture pixels corresponding to objects of interest.
    • 方面扩展到用于感测图像内的物体深度的方法,系统和计算机程序产品。 通常,本发明的各方面实现具有降低的功耗的对象深度检测技术。 降低的功率消耗允许移动和可穿戴设备以及具有降低的功率资源的其他设备来检测和记录对象(例如,人类特征)。 例如,相机可以在会议中有效地检测对话伙伴或与会者(可能提供关于用户面前的人的相关实时提示)。 作为另一示例,人手检测解决方案可以确定用户指向的对象(通过遵循臂的方向)并提供其他交互模式。 本发明的方面可以使用较低功率深度传感器来识别和捕获与感兴趣对象相对应的像素。