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    • 35. 发明申请
    • ADAPTIVE FACIAL EXPRESSION CALIBRATION
    • 自适应表情表达式校准
    • US20140267413A1
    • 2014-09-18
    • US13976039
    • 2013-03-14
    • Yangzhou DuWenlong LiWei HuXiaofeng TongYimin Zhang
    • Yangzhou DuWenlong LiWei HuXiaofeng TongYimin Zhang
    • G06T19/00
    • G06K9/00281A63F13/213A63F13/655G06T13/40G06T13/80G06T2215/16
    • Technologies for generating an avatar with a facial expression corresponding to a facial expression of a user include capturing a reference user image of the user on a computing device when the user is expressing a reference facial expression for registration. The computing device generates reference facial measurement data based on the captured reference user image and compares the reference facial measurement data with facial measurement data of a corresponding reference expression of the avatar to generate facial comparison data. After a user has been registered, the computing device captures a real-time facial expression of the user and generates real-time facial measurement data based on the captured real-time image. The computing device applies the facial comparison data to the real-time facial measurement data to generate modified expression data, which is used to generate an avatar with a facial expression corresponding with the facial expression of the user.
    • 用于生成具有与用户的面部表情相对应的面部表情的化身的技术包括当用户表达用于注册的参考面部表情时,在计算设备上捕获用户的参考用户图像。 计算装置基于捕获的参考用户图像生成参考面部测量数据,并将参考面部测量数据与化身的对应参考表达式的面部测量数据进行比较以生成面部比较数据。 在用户注册之后,计算设备捕获用户的实时面部表情,并且基于所捕获的实时图像生成实时面部测量数据。 计算装置将面部比较数据应用于实时面部测量数据,以产生修改后的表达数据,该修改的表情数据用于生成具有与用户面部表情相对应的面部表情的化身。
    • 37. 发明申请
    • GESTURE RECOGNITION USING DEPTH IMAGES
    • 使用深度图像进行识别识别
    • US20140037134A1
    • 2014-02-06
    • US13387221
    • 2011-04-11
    • Xiaofeng TongDayong DingWenlong LiYimin Zhang
    • Xiaofeng TongDayong DingWenlong LiYimin Zhang
    • G06K9/00
    • G06K9/00355G06F3/017G06K9/00228G06K9/00261
    • Methods, apparatuses, and articles associated with gesture recognition using depth images are disclosed herein. In various embodiments, an apparatus may include a face detection engine configured to determine whether a face is present in one or more gray images of respective image frames generated by a depth camera, and a hand tracking engine configured to track a hand in one or more depth images generated by the depth camera. The apparatus may further include a feature extraction and gesture inference engine configured to extract features based on results of the tracking by the hand tracking engine, and infer a hand gesture based at least in part on the extracted features. Other embodiments may also be disclosed and claimed.
    • 本文公开了使用深度图像与手势识别相关联的方法,装置和文章。 在各种实施例中,装置可以包括面部检测引擎,其被配置为确定面部是否存在于由深度相机产生的各个图像帧的一个或多个灰度图像中,以及手动跟踪引擎,其配置成在一个或多个 由深度相机产生的深度图像。 该装置还可以包括特征提取和手势推断引擎,其被配置为基于手跟踪引擎的跟踪结果来提取特征,以及至少部分地基于所提取的特征推断手势。 也可以公开和要求保护其他实施例。
    • 38. 发明申请
    • COOPERATIVE PROVISION OF PERSONALIZED USER FUNCTIONS USING SHARED AND PERSONAL DEVICES
    • 使用共享和个人设备合作提供个性化用户功能
    • US20130346508A1
    • 2013-12-26
    • US13995488
    • 2011-09-12
    • Wenlong LiHonesty YoungRandolph Wang
    • Wenlong LiHonesty YoungRandolph Wang
    • H04L29/06
    • Methods, apparatuses and storage medium associated with cooperative provision of personalized user functions using shared device and personal device are disclosed herein. In various embodiments, a personal device (PD) method may include receiving, by a personal device of a user, a request to perform a user function to be cooperatively provided by the personal device and a shared device (SD) configured for use by multiple users; and cooperating with the shared device, by the personal device, to provide the requested user function personalized to the user of the personal device. In various embodiments, a SD method may include similar receiving and cooperating operations, performed by the SD. Other embodiments may be disclosed or claimed.
    • 本文公开了使用共享设备和个人设备来协作提供个性化用户功能的方法,设备和存储介质。 在各种实施例中,个人设备(PD)方法可以包括由用户的个人设备接收执行由个人设备协同提供的用户功能的请求以及被配置为由多个用户使用的共享设备(SD) 用户; 并且通过个人设备与共享设备协作,以向个人设备的用户提供个性化的所请求的用户功能。 在各种实施例中,SD方法可以包括由SD执行的类似的接收和协作操作。 可以公开或要求保护其他实施例。