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21. 发明申请

US20060293887A1 Multi-sensory speech enhancement using a speech-state model 有权
标题翻译：使用语态模型的多感官语音增强
公开(公告)号：US20060293887A1
公开(公告)日：2006-12-28
申请号：US11168770
申请日：2005-06-28
申请人： Zhengyou Zhang , Zicheng Liu , Alejandro Acero , Amarnag Subramanya , James Droppo
发明人： Zhengyou Zhang , Zicheng Liu , Alejandro Acero , Amarnag Subramanya , James Droppo
IPC分类号： G10L15/20
CPC分类号： G10L21/0208 , G10L2021/02165
摘要： A method and apparatus determine a likelihood of a speech state based on an alternative sensor signal and an air conduction microphone signal. The likelihood of the speech state is used, together with the alternative sensor signal and the air conduction microphone signal, to estimate a clean speech value for a clean speech signal.
摘要翻译：方法和装置基于替代传感器信号和空气传导麦克风信号确定语音状态的可能性。使用语音状态的可能性以及替代的传感器信号和导气麦克风信号来估计干净的语音信号的清晰的语音值。

22. 发明授权

US07020305B2 System and method providing improved head motion estimations for animation 失效
公开(公告)号：US07020305B2
公开(公告)日：2006-03-28
申请号：US09731481
申请日：2000-12-06
申请人： Zicheng Liu , Zhengyou Zhang
发明人： Zicheng Liu , Zhengyou Zhang
IPC分类号： G06K9/00
CPC分类号： G06K9/00248 , G06T7/251 , G06T7/70 , G06T2207/10016 , G06T2207/30201
摘要： The system provides improved procedures to estimate head motion between two images of a face. Locations of a number of distinct facial features are identified in two images. The identified locations can correspond to the eye comers, mouth corners and nose tip. The locations are converted into as a set of physical face parameters based on the symmetry of the identified distinct facial features. The set of physical parameters reduces the number of unknowns as compared to the number of equations used to determine the unknowns. An initial head motion estimate is determined by: (a) estimating each of the set of physical parameters, (b) estimating a first head pose transform corresponding to the first image, and (c) estimating a second head pose transform corresponding to the second image. The head motion estimate can be incorporated into a feature matching algorithm to refine the head motion estimation and the physical facial parameters. In one implementation, an inequality constraint is placed on a particular physical parameter—such as a nose tip, such that the parameter is constrained within a predetermined minimum and maximum value. The inequality constraint is converted to an equality constraint by using a penalty function. Then, the inequality constraint is used during the initial head motion estimation to add additional robustness to the motion estimation.

23. 发明申请

US20050190962A1 Rapid computer modeling of faces for animation 有权
公开(公告)号：US20050190962A1
公开(公告)日：2005-09-01
申请号：US11110296
申请日：2005-04-20
申请人： Zicheng Liu , Zhengyou Zhang , Michael Cohen , Charles Jacobs
发明人： Zicheng Liu , Zhengyou Zhang , Michael Cohen , Charles Jacobs
IPC分类号： G06K9/00 , G06T13/40 , G06T15/20 , G06T17/00 , G06T17/10 , H04N7/26 , H04N7/36
CPC分类号： G06T13/40 , G06K9/00201 , G06K9/00248 , G06K9/00268 , G06K9/00281 , G06T7/251 , G06T7/55 , G06T7/579 , G06T7/74 , G06T9/001 , G06T15/205 , G06T17/00 , G06T17/10 , G06T17/20 , G06T2200/08 , G06T2207/10012 , G06T2207/10016 , G06T2207/10021 , G06T2207/30201 , H04N19/162 , H04N19/503
摘要： Described herein is a technique for creating a 3D face model using images obtained from an inexpensive camera associated with a general-purpose computer. Two still images of the user are captured, and two video sequences. The user is asked to identify five facial features, which are used to calculate a mask and to perform fitting operations. Based on a comparison of the still images, deformation vectors are applied to a neutral face model to create the 3D model. The video sequences are used to create a texture map. The process of creating the texture map references the previously obtained 3D model to determine poses of the sequential video images.

24. 发明申请

US20050074145A1 System and method providing improved head motion estimations for animation 失效
标题翻译：系统和方法为动画提供改进的头部运动估计
公开(公告)号：US20050074145A1
公开(公告)日：2005-04-07
申请号：US11000603
申请日：2004-12-01
申请人： Zicheng Liu , Zhengyou Zhang
发明人： Zicheng Liu , Zhengyou Zhang
IPC分类号： G06T7/00 , G06T7/20 , G06T13/00 , G06T15/70 , G06K9/00
CPC分类号： G06K9/00248 , G06T7/251 , G06T7/70 , G06T2207/10016 , G06T2207/30201
摘要： Systems and methods to estimate head motion between two images of a face are described. In one aspect, locations of a plurality of distinct facial features in the two images are identified. The locations correspond to a number of unknowns that are determined upon estimation of head motion. The number of unknowns are determined by a number of equations. The identified locations are converted into a set of physical face parameters based on the symmetry of the distinct facial features. The set of physical face parameters reduce the number of unknowns as compared to the number of equations used to determine the unknowns. An inequality constraint is added to a particular face parameter of the physical face parameters, such that the particular face parameter is constrained within a predetermined minimum and maximum value. The inequality constraint is converted to an equality constraint using a penalty function. Head motion is estimated from identified points in the two images. The identified points are based on the set of physical face parameters.
摘要翻译：描述用于估计面部的两个图像之间的头部运动的系统和方法。在一个方面，识别两个图像中的多个不同的面部特征的位置。这些位置对应于在估计头部运动时确定的许多未知数。未知数的数量由多个等式确定。基于不同的面部特征的对称性，将识别的位置转换成一组物理面部参数。与用于确定未知数的等式的数量相比，物理面参数的集合减少未知数的数量。将不等式约束添加到物理面部参数的特定面部参数，使得特定面部参数被限制在预定的最小值和最大值内。不等式约束使用惩罚函数转换为等式约束。从两个图像中的识别点估计头部运动。识别的点是基于物理面参数的集合。

25. 发明申请

US20050033571A1 Head mounted multi-sensory audio input system 审中-公开
标题翻译：头戴式多声道音频输入系统
公开(公告)号：US20050033571A1
公开(公告)日：2005-02-10
申请号：US10636176
申请日：2003-08-07
申请人： Xuedong Huang , Zicheng Liu , Zhengyou Zhang , Michael Sinclair , Alejandro Acero
发明人： Xuedong Huang , Zicheng Liu , Zhengyou Zhang , Michael Sinclair , Alejandro Acero
IPC分类号： G10L11/02 , G10L15/20 , G10L15/24 , H04R1/10 , H04R1/14 , H04R25/00 , G10L15/00
CPC分类号： H04R1/14 , G10L15/20 , G10L15/24 , G10L25/78 , H04R1/083 , H04R1/1008 , H04R5/033 , H04R2460/13
摘要： The present invention combines a conventional audio microphone with an additional speech sensor that provides a speech sensor signal based on an input. The speech sensor signal is generated based on an action undertaken by a speaker during speech, such as facial movement, bone vibration, throat vibration, throat impedance changes, etc. A speech detector component receives an input from the speech sensor and outputs a speech detection signal indicative of whether a user is speaking. The speech detector generates the speech detection signal based on the microphone signal and the speech sensor signal.
摘要翻译：本发明将常规音频麦克风与基于输入提供语音传感器信号的附加话音传感器组合。语音传感器信号基于语音中的扬声器在诸如面部运动，骨骼振动，喉部振动，喉部阻抗变化等中的动作而产生。语音检测器组件从语音传感器接收输入并输出语音检测指示用户是否正在说话的信号。语音检测器基于麦克风信号和语音传感器信号产生语音检测信号。

26. 发明授权

US09240056B2 Video retargeting 有权
标题翻译：视频重新定位
公开(公告)号：US09240056B2
公开(公告)日：2016-01-19
申请号：US12060890
申请日：2008-04-02
申请人： Gang Hua , Cha Zhang , Zhengyou Zhang , Zicheng Liu , Ying Shan
发明人： Gang Hua , Cha Zhang , Zhengyou Zhang , Zicheng Liu , Ying Shan
IPC分类号： H04N7/01 , H04N11/20 , G06K9/20 , G06T11/00 , H04N1/387 , H04N21/2662
CPC分类号： G06T11/00 , H04N1/3875 , H04N7/0122 , H04N21/2662
摘要： Videos are retargeted to a target display for viewing with little to no geometric distortion or video information loss. Salient regions of video frames may be determined using scale-space spatiotemporal information. Video information loss may be a result of spatial loss, due to cropping, and resolution loss, due to resizing. A desired cropping window may be determined using a coarse-to-fine searching strategy. Video frames may be cropped with a window that matches an aspect ratio of the target display, and resized isotropically to match a size of the target display.
摘要翻译：视频被重定向到目标显示器，用于观看几乎没有几何失真或视频信息丢失。可以使用尺度空间时空信息来确定视频帧的显着区域。视频信息丢失可能是由于调整大小而导致的空间损失，由于裁剪和分辨率损失造成的。可以使用粗略到精细的搜索策略来确定期望的裁剪窗口。可以用与目标显示器的纵横比匹配的窗口裁剪视频帧，并且各向同性地调整大小以匹配目标显示器的大小。

27. 发明申请

US20120281059A1 Immersive Remote Conferencing 有权
标题翻译：沉浸式远程会议
公开(公告)号：US20120281059A1
公开(公告)日：2012-11-08
申请号：US13100504
申请日：2011-05-04
申请人： Philip A. Chou , Zhengyou Zhang , Cha Zhang , Dinei A. Florencio , Zicheng Liu , Rajesh K. Hegde , Nirupama Chandrasekaran
发明人： Philip A. Chou , Zhengyou Zhang , Cha Zhang , Dinei A. Florencio , Zicheng Liu , Rajesh K. Hegde , Nirupama Chandrasekaran
IPC分类号： H04N7/15
CPC分类号： H04L12/1827 , H04N7/147 , H04N7/157
摘要： The subject disclosure is directed towards an immersive conference, in which participants in separate locations are brought together into a common virtual environment (scene), such that they appear to each other to be in a common space, with geometry, appearance, and real-time natural interaction (e.g., gestures) preserved. In one aspect, depth data and video data are processed to place remote participants in the common scene from the first person point of view of a local participant. Sound data may be spatially controlled, and parallax computed to provide a realistic experience. The scene may be augmented with various data, videos and other effects/animations.
摘要翻译：本发明涉及一种身临其境的会议，其中分开的位置的参与者被聚集到一个共同的虚拟环境（场景）中，使得它们彼此看起来处于共同的空间中，具有几何，外观和实时性，保留时间自然的相互作用（如手势）。在一个方面，深度数据和视频数据被处理以将远程参与者从本地参与者的第一人的角度放置在公共场景中。声音数据可以是空间控制的，并且计算视差以提供真实的体验。场景可能会增加各种数据，视频和其他效果/动画。

28. 发明授权

US08175382B2 Learning image enhancement 有权
标题翻译：学习图像增强
公开(公告)号：US08175382B2
公开(公告)日：2012-05-08
申请号：US11801620
申请日：2007-05-10
申请人： Zicheng Liu , Cha Zhang , Zhengyou Zhang
发明人： Zicheng Liu , Cha Zhang , Zhengyou Zhang
IPC分类号： G06K9/00
CPC分类号： G06K9/00234 , H04N1/62 , H04N1/628
摘要： Image enhancement techniques are described to enhance an image in accordance with a set of training images. In an implementation, an image color tone map is generated for a facial region included in an image. The image color tone map may be normalized to a color tone map for a set of training images so that the image color tone map matches the map for the training images. The normalized color tone map may be applied to the image to enhance the in-question image. In further implementations, the procedure may be updated when the average color intensity in non-facial regions differs from an accumulated mean by a threshold amount.
摘要翻译：描述图像增强技术以根据一组训练图像来增强图像。在实现中，为包括在图像中的面部区域生成图像色调映射。图像色调图可以被归一化为用于一组训练图像的色调图，使得图像色调图匹配训练图像的图。归一化色调图可以应用于图像以增强问题图像。在进一步的实施中，当非面部区域中的平均颜色强度与积累的平均值不同阈值量时，可以更新该过程。

29. 发明申请

US20110311137A1 HIERARCHICAL FILTERED MOTION FIELD FOR ACTION RECOGNITION 有权
标题翻译：分层过滤运动场作用识别
公开(公告)号：US20110311137A1
公开(公告)日：2011-12-22
申请号：US12820143
申请日：2010-06-22
申请人： Zicheng Liu , Yingli Tian , Liangliang Cao , Zhengyou Zhang
发明人： Zicheng Liu , Yingli Tian , Liangliang Cao , Zhengyou Zhang
IPC分类号： G06K9/34
CPC分类号： G06K9/4642 , G06K9/6277 , G06T7/246 , G06T2207/30196
摘要： Described is a hierarchical filtered motion field technology such as for use in recognizing actions in videos with crowded backgrounds. Interest points are detected, e.g., as 2D Harris corners with recent motion, e.g. locations with high intensities in a motion history image (MHI). A global spatial motion smoothing filter is applied to the gradients of MHI to eliminate low intensity corners that are likely isolated, unreliable or noisy motions. At each remaining interest point, a local motion field filter is applied to the smoothed gradients by computing a structure proximity between sets of pixels in the local region and the interest point. The motion at a pixel/pixel set is enhanced or weakened based on its structure proximity with the interest point (nearer pixels are enhanced).
摘要翻译：描述了一种分层过滤的运动场技术，例如用于识别具有拥挤背景的视频中的动作。检测到兴趣点，例如，作为具有最近运动的2D哈里斯角，例如，在运动历史图像（MHI）中具有高强度的位置。将全局空间运动平滑滤波器应用于MHI的梯度以消除可能是孤立的，不可靠的或噪声运动的低强度拐角。在每个剩余的兴趣点处，通过计算局部区域中的像素集合和兴趣点之间的结构接近度，将局部运动场滤波器应用于平滑的梯度。基于其与兴趣点的结构接近（更近的像素被增强），像素/像素集合处的运动被增强或削弱。

30. 发明授权

US08009880B2 Recovering parameters from a sub-optimal image 有权
标题翻译：从次优图像中恢复参数
公开(公告)号：US08009880B2
公开(公告)日：2011-08-30
申请号：US11747695
申请日：2007-05-11
申请人： Zhengyou Zhang , Zicheng Liu , Gang Hua , Yang Wang
发明人： Zhengyou Zhang , Zicheng Liu , Gang Hua , Yang Wang
IPC分类号： G06K9/00 , G06K9/56 , G09G5/00
CPC分类号： G06K9/00268 , G06K9/4661 , G06T7/11 , G06T2207/30201
摘要： A subregion-based image parameter recovery system and method for recovering image parameters from a single image containing a face taken under sub-optimal illumination conditions. The recovered image parameters (including albedo, illumination, and face geometry) can be used to generate face images under a new lighting environment. The method includes dividing the face in the image into numerous smaller regions, generating an albedo morphable model for each region, and using a Markov Random Fields (MRF)-based framework to model the spatial dependence between neighboring regions. Different types of regions are defined, including saturated, shadow, regular, and occluded regions. Each pixel in the image is classified and assigned to a region based on intensity, and then weighted based on its classification. The method decouples the texture from the geometry and illumination models, and then generates an objective function that is iteratively solved using an energy minimization technique to recover the image parameters.
摘要翻译：一种基于子区域的图像参数恢复系统和方法，用于从包含在次优照明条件下拍摄的面部的单个图像恢复图像参数。恢复的图像参数（包括反照率，照明和脸部几何）可用于在新的照明环境下生成脸部图像。该方法包括将图像中的脸部划分成许多较小的区域，为每个区域生成反照变形模型，并使用基于马尔可夫随机场（MRF）的框架来模拟相邻区域之间的空间依赖关系。定义不同类型的区域，包括饱和，阴影，常规和遮挡区域。将图像中的每个像素分类并分配给基于强度的区域，然后基于其分类进行加权。该方法将纹理与几何和照明模型分离，然后生成使用能量最小化技术迭代求解以恢复图像参数的目标函数。

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