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1. 发明申请

US20130294710A1 RECOVERING DIS-OCCLUDED AREAS USING TEMPORAL INFORMATION INTEGRATION 有权
标题翻译：使用时间信息整合恢复分散区域
公开(公告)号：US20130294710A1
公开(公告)日：2013-11-07
申请号：US13463934
申请日：2012-05-04
申请人： Philip Andrew Chou , Cha Zhang , Zhengyou Zhang , Shujie Liu
发明人： Philip Andrew Chou , Cha Zhang , Zhengyou Zhang , Shujie Liu
IPC分类号： G06K9/32
CPC分类号： G06K9/32 , G06T7/593
摘要： A temporal information integration dis-occlusion system and method for using historical data to reconstruct a virtual view containing an occluded area. Embodiments of the system and method use temporal information of the scene captured previously to obtain a total history. This total history is warped onto information captured by a camera at a current time in order to help reconstruct the dis-occluded areas. The historical data (or frames) from the total history match only a portion of the frames contained in the captured information. This warping yields warped history information. Warping is performed by using one of two embodiments to match points in an estimation of the current information to points in the captured information. Next, regions of current information are split using a classifier. The warped history information and the captured information then are merged to obtain an estimate for the current information and the reconstructed virtual view.
摘要翻译：一种用于使用历史数据重建包含遮挡区域的虚拟视图的时间信息整合遮挡系统和方法。系统和方法的实施例使用先前捕获的场景的时间信息来获得总历史。这个总历史在当前时间由相机拍摄的信息扭曲，以帮助重建被遮挡的区域。来自总历史记录的历史数据（或帧）仅匹配捕获信息中包含的帧的一部分。这种扭曲产生扭曲的历史信息。通过使用两个实施例中的一个实现扭曲，以将当前信息的估计中的点与捕获的信息中的点进行匹配。接下来，使用分类器分割当前信息的区域。然后将翘曲的历史信息和捕获的信息合并，以获得当前信息和重建的虚拟视图的估计。

2. 发明授权

US08401979B2 Multiple category learning for training classifiers 有权
标题翻译：训练分类器的多类学习
公开(公告)号：US08401979B2
公开(公告)日：2013-03-19
申请号：US12618799
申请日：2009-11-16
申请人： Cha Zhang , Zhengyou Zhang
发明人： Cha Zhang , Zhengyou Zhang
IPC分类号： G06F15/18
CPC分类号： G06N99/005
摘要： Described is multiple category learning to jointly train a plurality of classifiers in an iterative manner. Each training iteration associates an adaptive label with each training example, in which during the iterations, the adaptive label of any example is able to be changed by the subsequent reclassification. In this manner, any mislabeled training example is corrected by the classifiers during training. The training may use a probabilistic multiple category boosting algorithm that maintains probability data provided by the classifiers, or a winner-take-all multiple category boosting algorithm selects the adaptive label based upon the highest probability classification. The multiple category boosting training system may be coupled to a multiple instance learning mechanism to obtain the training examples. The trained classifiers may be used as weak classifiers that provide a label used to select a deep classifier for further classification, e.g., to provide a multi-view object detector.
摘要翻译：描述了多类学习，以迭代的方式联合训练多个分类器。每个训练迭代将自适应标签与每个训练示例相关联，其中在迭代期间，任何示例的自适应标签能够由随后的重新分类改变。以这种方式，任何错误标记的训练示例在训练期间由分类器校正。训练可以使用维护由分类器提供的概率数据的概率多类别提升算法，或者获胜者全部多类别增强算法基于最高概率分类来选择自适应标签。多类别增强训练系统可以耦合到多实例学习机制以获得训练示例。经训练的分类器可以用作弱分类器，其提供用于选择用于进一步分类的深分类器的标签，例如提供多视图对象检测器。

3. 发明申请

US20130010079A1 CALIBRATION BETWEEN DEPTH AND COLOR SENSORS FOR DEPTH CAMERAS 有权
标题翻译：深度摄影机的深度和颜色传感器之间的校准
公开(公告)号：US20130010079A1
公开(公告)日：2013-01-10
申请号：US13178494
申请日：2011-07-08
申请人： Cha Zhang , Zhengyou Zhang
发明人： Cha Zhang , Zhengyou Zhang
IPC分类号： H04N13/02
CPC分类号： H04N13/246 , G06T7/85 , H04N13/20 , H04N13/207 , H04N13/25 , H04N13/257 , H04N13/271
摘要： A system described herein includes a receiver component that receives a first digital image from a color camera, wherein the first digital image comprises a planar object, and a second digital image from a depth sensor, wherein the second digital image comprises the planar object. The system also includes a calibrator component that jointly calibrates the color camera and the depth sensor based at least in part upon the first digital image and the second digital image.
摘要翻译：本文描述的系统包括从彩色摄像机接收第一数字图像的接收器组件，其中第一数字图像包括平面物体和来自深度传感器的第二数字图像，其中第二数字图像包括平面物体。该系统还包括校准器组件，其至少部分地基于第一数字图像和第二数字图像来共同校准彩色摄像机和深度传感器。

4. 发明授权

US09536312B2 Depth reconstruction using plural depth capture units 有权
标题翻译：使用多个深度捕获单元进行深度重建
公开(公告)号：US09536312B2
公开(公告)日：2017-01-03
申请号：US13107986
申请日：2011-05-16
申请人： Cha Zhang , Wenwu Zhu , Zhengyou Zhang , Philip A. Chou
发明人： Cha Zhang , Wenwu Zhu , Zhengyou Zhang , Philip A. Chou
IPC分类号： G06T7/00 , G06K9/20
CPC分类号： G06T7/521 , G06K9/2036 , G06T7/593 , G06T2207/10048 , G06T2207/10152 , G06T2207/30196
摘要： A depth construction module is described that receives depth images provided by two or more depth capture units. Each depth capture unit generates its depth image using a structured light technique, that is, by projecting a pattern onto an object and receiving a captured image in response thereto. The depth construction module then identifies at least one deficient portion in at least one depth image that has been received, which may be attributed to overlapping projected patterns that impinge the object. The depth construction module then uses a multi-view reconstruction technique, such as a plane sweeping technique, to supply depth information for the deficient portion. In another mode, a multi-view reconstruction technique can be used to produce an entire depth scene based on captured images received from the depth capture units, that is, without first identifying deficient portions in the depth images.
摘要翻译：描述了深度构造模块，其接收由两个或更多个深度捕获单元提供的深度图像。每个深度捕获单元使用结构化的光技术生成其深度图像，即通过将图案投射到对象上并响应于此而接收捕获的图像。然后，深度构造模块识别已经接收到的至少一个深度图像中的至少一个缺陷部分，其可归因于撞击物体的重叠投影图案。然后，深度构建模块使用诸如平面扫描技术的多视图重建技术来为缺陷部分提供深度信息。在另一种模式中，可以使用多视图重建技术来基于从深度捕获单元接收到的捕获图像来生成整个深度场景，即，没有首先识别深度图像中的不足部分。

5. 发明授权

US09270974B2 Calibration between depth and color sensors for depth cameras 有权
标题翻译：用于深度相机的深度和颜色传感器之间的校准
公开(公告)号：US09270974B2
公开(公告)日：2016-02-23
申请号：US13178494
申请日：2011-07-08
申请人： Cha Zhang , Zhengyou Zhang
发明人： Cha Zhang , Zhengyou Zhang
IPC分类号： H04N13/02 , G06T7/00 , H04N13/00
CPC分类号： H04N13/246 , G06T7/85 , H04N13/20 , H04N13/207 , H04N13/25 , H04N13/257 , H04N13/271
摘要： A system described herein includes a receiver component that receives a first digital image from a color camera, wherein the first digital image comprises a planar object, and a second digital image from a depth sensor, wherein the second digital image comprises the planar object. The system also includes a calibrator component that jointly calibrates the color camera and the depth sensor based at least in part upon the first digital image and the second digital image.
摘要翻译：本文描述的系统包括从彩色摄像机接收第一数字图像的接收器组件，其中第一数字图像包括平面物体和来自深度传感器的第二数字图像，其中第二数字图像包括平面物体。该系统还包括校准器组件，其至少部分地基于第一数字图像和第二数字图像来共同校准彩色摄像机和深度传感器。

6. 发明授权

US09123144B2 Computing 3D shape parameters for face animation 有权
标题翻译：计算面部动画的3D形状参数
公开(公告)号：US09123144B2
公开(公告)日：2015-09-01
申请号：US13295009
申请日：2011-11-11
申请人： Nikolay Smolyanskiy , Christian F. Huitema , Cha Zhang , Lin Liang , Sean Eron Anderson , Zhengyou Zhang
发明人： Nikolay Smolyanskiy , Christian F. Huitema , Cha Zhang , Lin Liang , Sean Eron Anderson , Zhengyou Zhang
IPC分类号： G06K9/00 , G06T17/00 , G06T7/00
CPC分类号： G06T7/20 , G06K9/00 , G06T7/579 , G06T13/20 , G06T17/00 , G06T2200/08 , G06T2207/10012 , G06T2207/10016 , G06T2207/30201
摘要： A three-dimensional shape parameter computation system and method for computing three-dimensional human head shape parameters from two-dimensional facial feature points. A series of images containing a user's face is captured. Embodiments of the system and method deduce the 3D parameters of the user's head by examining a series of captured images of the user over time and in a variety of head poses and facial expressions, and then computing an average. An energy function is constructed over a batch of frames containing 2D face feature points obtained from the captured images, and the energy function is minimized to solve for the head shape parameters valid for the batch of frames. Head pose parameters and facial expression and animation parameters can vary over each captured image in the batch of frames. In some embodiments this minimization is performed using a modified Gauss-Newton minimization technique using a single iteration.
摘要翻译：一种用于从二维面部特征点计算三维人头形状参数的三维形状参数计算系统和方法。捕获包含用户脸部的一系列图像。系统和方法的实施例通过随时间和各种头部姿势和面部表情检查用户的一系列捕获图像，然后计算平均值来推导用户头部的3D参数。在包含从捕获图像获得的2D面部特征点的一批帧上构建能量函数，并且将能量函数最小化以解决对于批次帧有效的头部形状参数。头部姿势参数和面部表情和动画参数可以在批次帧中的每个拍摄图像上变化。在一些实施例中，使用使用单次迭代的修正的高斯 - 牛顿最小化技术来执行该最小化。

7. 发明申请

US20130121526A1 COMPUTING 3D SHAPE PARAMETERS FOR FACE ANIMATION 有权
公开(公告)号：US20130121526A1
公开(公告)日：2013-05-16
申请号：US13295009
申请日：2011-11-11
申请人： Nikolay Smolyanskiy , Christian F. Huitema , Cha Zhang , Lin Liang , Sean Eron Anderson , Zhengyou Zhang
发明人： Nikolay Smolyanskiy , Christian F. Huitema , Cha Zhang , Lin Liang , Sean Eron Anderson , Zhengyou Zhang
IPC分类号： G06K9/00
CPC分类号： G06T7/20 , G06K9/00 , G06T7/579 , G06T13/20 , G06T17/00 , G06T2200/08 , G06T2207/10012 , G06T2207/10016 , G06T2207/30201
摘要： A three-dimensional shape parameter computation system and method for computing three-dimensional human head shape parameters from two-dimensional facial feature points. A series of images containing a user's face is captured. Embodiments of the system and method deduce the 3D parameters of the user's head by examining a series of captured images of the user over time and in a variety of head poses and facial expressions, and then computing an average. An energy function is constructed over a batch of frames containing 2D face feature points obtained from the captured images, and the energy function is minimized to solve for the head shape parameters valid for the batch of frames. Head pose parameters and facial expression and animation parameters can vary over each captured image in the batch of frames. In some embodiments this minimization is performed using a modified Gauss-Newton minimization technique using a single iteration.

8. 发明申请

US20120294510A1 DEPTH RECONSTRUCTION USING PLURAL DEPTH CAPTURE UNITS 有权
标题翻译：深度重建采用一般深度捕获单位
公开(公告)号：US20120294510A1
公开(公告)日：2012-11-22
申请号：US13107986
申请日：2011-05-16
申请人： Cha Zhang , Wenwu Zhu , Zhengyou Zhang , Philip A. Chou
发明人： Cha Zhang , Wenwu Zhu , Zhengyou Zhang , Philip A. Chou
IPC分类号： G06K9/00
CPC分类号： G06T7/521 , G06K9/2036 , G06T7/593 , G06T2207/10048 , G06T2207/10152 , G06T2207/30196
摘要： A depth construction module is described that receives depth images provided by two or more depth capture units. Each depth capture unit generates its depth image using a structured light technique, that is, by projecting a pattern onto an object and receiving a captured image in response thereto. The depth construction module then identifies at least one deficient portion in at least one depth image that has been received, which may be attributed to overlapping projected patterns that impinge the object. The depth construction module then uses a multi-view reconstruction technique, such as a plane sweeping technique, to supply depth information for the deficient portion. In another mode, a multi-view reconstruction technique can be used to produce an entire depth scene based on captured images received from the depth capture units, that is, without first identifying deficient portions in the depth images.
摘要翻译：描述了深度构造模块，其接收由两个或更多个深度捕获单元提供的深度图像。每个深度捕获单元使用结构化的光技术生成其深度图像，即通过将图案投射到对象上并响应于此而接收捕获的图像。然后，深度构造模块识别已经接收到的至少一个深度图像中的至少一个缺陷部分，其可归因于撞击物体的重叠投影图案。然后，深度构建模块使用诸如平面扫描技术的多视图重建技术来为缺陷部分提供深度信息。在另一种模式中，可以使用多视图重建技术来基于从深度捕获单元接收到的捕获图像来生成整个深度场景，即，没有首先识别深度图像中的不足部分。

9. 发明授权

US08031967B2 Video noise reduction 有权
标题翻译：视频降噪
公开(公告)号：US08031967B2
公开(公告)日：2011-10-04
申请号：US11765029
申请日：2007-06-19
申请人： Cha Zhang , Zhengyou Zhang , Zicheng Liu
发明人： Cha Zhang , Zhengyou Zhang , Zicheng Liu
IPC分类号： G06K9/40
CPC分类号： G06T5/002 , G06T2207/10016 , H04N5/14 , H04N5/21
摘要： A video noise reduction technique is presented. Generally, the technique involves first decomposing each frame of the video into low-pass and high-pass frequency components. Then, for each frame of the video after the first frame, an estimate of a noise variance in the high pass component is obtained. The noise in the high pass component of each pixel of each frame is reduced using the noise variance estimate obtained for the frame under consideration, whenever there has been no substantial motion exhibited by the pixel since the last previous frame. Evidence of motion is determined by analyzing the high and low pass components.
摘要翻译：提出了一种视频降噪技术。通常，该技术首先将视频的每帧分解为低通和高通频率分量。然后，对于第一帧之后的视频的每帧，获得高通分量中的噪声方差的估计。每当从最后一帧起就没有像素所呈现的实质运动时，使用针对所考虑的帧获得的噪声方差估计，减少每帧的每个像素的高通分量中的噪声。通过分析高通和低通分量来确定运动的证据。

10. 发明申请

US20110170739A1 Automated Acquisition of Facial Images 有权
标题翻译：自动采集面部图像
公开(公告)号：US20110170739A1
公开(公告)日：2011-07-14
申请号：US12685686
申请日：2010-01-12
申请人： Michael Gillam , John Christopher Gillotte , Craig Frederick Feied , Jonathan Alan Handler , Renato Reder Cazangi , Rajesh Kutpadi Hegde , Zhengyou Zhang , Cha Zhang
发明人： Michael Gillam , John Christopher Gillotte , Craig Frederick Feied , Jonathan Alan Handler , Renato Reder Cazangi , Rajesh Kutpadi Hegde , Zhengyou Zhang , Cha Zhang
IPC分类号： G06K9/00
CPC分类号： G06F19/322 , G06F19/00 , G07C9/00079 , G07C9/00103 , G16H10/60
摘要： Described is a technology by which medical patient facial images are acquired and maintained for associating with a patient's records and/or other items. A video camera may provide video frames, such as captured when a patient is being admitted to a hospital. Face detection may be employed to clip the facial part from the frame. Multiple images of a patient's face may be displayed on a user interface to allow selection of a representative image. Also described is obtaining the patient images by processing electronic documents (e.g., patient records) to look for a face pictured therein.
摘要翻译：描述了获取和维护医疗患者面部图像以与患者的记录和/或其他项目相关联的技术。视频摄像机可以提供视频帧，例如当病人进入医院时被捕获的视频帧。可以采用脸部检测来将脸部部分从框架夹紧。可以在用户界面上显示患者脸部的多个图像，以允许选择代表性图像。还描述了通过处理电子文档（例如病人记录）来寻找其中所描绘的脸部来获得患者图像。

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