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    • 2. 发明申请
    • HEAD POSE TRACKING USING A DEPTH CAMERA
    • 使用深度摄像机的头部跟踪
    • WO2013119352A1
    • 2013-08-15
    • PCT/US2013/021353
    • 2013-01-14
    • MICROSOFT CORPORATION
    • LIU, ZichengZHANG, ZhengyouLI, Zhenning
    • H04N13/00G06T7/00
    • G06F3/012G06T7/74G06T2207/10028G06T2207/30244
    • Head pose tracking technique embodiments are presented that use a group of sensors configured so as to be disposed on a user's head. This group of sensors includes a depth sensor apparatus used to identify the three dimensional locations of features within a scene, and at least one other type of sensor. Data output by each sensor in the group of sensors is periodically input, and each time the data is input it is used to compute a transformation matrix that when applied to a previously determined head pose location and orientation established when the first sensor data was input identifies a current head pose location and orientation. This transformation matrix is then applied to the previously determined head pose location and orientation to identify a current head pose location and orientation.
    • 提出了头部姿势跟踪技术实施例,其使用被配置为设置在用户头部上的一组传感器。 该组传感器包括用于识别场景内的特征的三维位置的深度传感器装置和至少一种其它类型的传感器。 周期性地输入传感器组中的每个传感器的数据输出,并且每次输入数据时,它用于计算当应用于当输入第一传感器数据时确定的先前确定的头姿势位置和方位的变换矩阵 当前的头部姿势位置和方位。 然后将该变换矩阵应用于先前确定的头部姿势位置和方向以识别当前头部姿势位置和姿态。
    • 3. 发明申请
    • DISTINGUISHING LIVE FACES FROM FLAT SURFACES
    • 从平坦的表面分辨出现实的情况
    • WO2011156143A2
    • 2011-12-15
    • PCT/US2011/038066
    • 2011-05-26
    • MICROSOFT CORPORATION
    • ZHANG, ZhengyouCAI, QinKASSELMAN, Pieter R.BAKER, Arthur H.
    • G06K9/46
    • G06K9/00228G06K9/00906
    • Multiple images including a face presented by a user are accessed. One or more determinations are made based on the multiple images, such as a determination of whether the face included in the multiple images is a 3-dimensional structure or a flat surface and/or a determination of whether motion is present in one or more face components (e.g., eyes or mouth). If it is determined that the face included in the multiple images is a 3-dimensional structure or that motion is present in the one or more face components, then an indication is provided that the user can be authenticated. However, if it is determined that the face included in the multiple images is a flat surface or that motion is not present in the one or more face components, then an indication is provided that the user cannot be authenticated.
    • 访问包括用户呈现的脸部的多个图像。 基于多个图像进行一个或多个确定,例如确定包括在多个图像中的面是三维结构还是平面,和/或确定运动是否存在于一个或多个面中 组分(如眼睛或嘴巴)。 如果确定包括在多个图像中的面是三维结构或者在一个或多个面部组件中存在运动,则提供用户可以被认证的指示。 然而,如果确定包括在多个图像中的面是平面或者一个或多个面部组件中不存在运动,则提供用户不能被认证的指示。
    • 4. 发明申请
    • SYSTEM AND METHOD FOR HEAD SIZE EQUALIZATION IN 360 DEGREE PANORAMIC IMAGES
    • 360度全景图像中头部大小均衡的系统和方法
    • WO2006112927A2
    • 2006-10-26
    • PCT/US2006/005482
    • 2006-02-16
    • MICROSOFT CORPORATION
    • COHEN, MichaelCUTLER, RossZHANG, ZhengyouLIU, Zicheng
    • G06K9/36G06K9/32
    • G06T3/0062G06K9/00228G06T3/4038G06T5/006G06T7/30
    • A real-time approximately 360 degree image correction system and a method for alleviating distortion and perception problems in images captured by omni-directional cameras. In general, the real-time panoramic image correction method generates a warp table from pixel coordinates of a panoramic image and applies the warp table to the panoramic image to create a corrected panoramic image. The corrections are performed using a parametric class of warping functions that include Spatially Varying Uniform (SVU) scaling functions. The SVU scaling functions and scaling factors are used to perform vertical scaling and horizontal scaling on the panoramic image pixel coordinates. A horizontal distortion correction is performed using the SVU scaling functions at at least two different scaling factors. This processing generates a warp table that can be applied to the panoramic image to yield the corrected panoramic image. In one embodiment the warp table is concatenated with a stitching table used to create the panoramic image.
    • 一种实时近似360度图像校正系统以及一种用于减轻全向相机捕获的图像中的失真和感知问题的方法。 通常,实时全景图像校正方法根据全景图像的像素坐标生成翘曲表,并将该翘曲表应用于全景图像以创建校正的全景图像。 使用包括空间变化均匀(SVU)缩放功能的参数类别的变形函数来执行校正。 SVU缩放函数和缩放因子用于在全景图像像素坐标上执行垂直缩放和水平缩放。 在至少两个不同的缩放因子处使用SVU缩放函数来执行水平失真校正。 该处理生成可应用于全景图像的变形表格以产生经校正的全景图像。 在一个实施例中,经纱台与用于创建全景图像的拼接台连接。
    • 8. 发明申请
    • SPEAKER AUTHENTICATION
    • 演讲者认证
    • WO2007098039A1
    • 2007-08-30
    • PCT/US2007/004137
    • 2007-02-13
    • MICROSOFT CORPORATION
    • ZHANG, ZhengyouLIU, Ming
    • G10L17/00G10L15/18G10L15/14
    • G10L17/20G10L17/08
    • Speaker authentication is performed by determining a similarity score for a test utterance and a stored training utterance. Computing the similarity score involves determining the sum of a group of functions, where each function includes the product of a posterior probability of a mixture component and a difference between an adapted mean and a background mean. The adapted mean is formed based on the background mean and the test utterance. The speech content provided by the speaker for authentication can be text-independent (i.e., any content they want to say) or text-dependent (i.e., a particular phrase used for training).
    • 通过确定测试话语和存储的训练话语的相似性得分来执行扬声器认证。 计算相似度分数涉及确定一组函数的和,其中每个函数包括混合分量的后验概率与适应平均值与背景平均值之间的差的乘积。 适应平均值是基于背景均值和测试语音形成的。 用于认证的说话者提供的语音内容可以是文本无关的(即,他们想说的任何内容)或文本依赖(即,用于训练的特定短语)。