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    Modification of red-eye-effect in digital image
    2.
    发明授权
    Modification of red-eye-effect in digital image 失效
    数字图像中红眼效果的修改

    公开(公告)号：US07224850B2

    公开(公告)日：2007-05-29

    申请号：US10436710

    申请日：2003-05-13

    申请人： Lei Zhang ,  Yanfeng Sun ,  Mingjing Li ,  Hong-Jiang Zhang

    发明人： Lei Zhang ,  Yanfeng Sun ,  Mingjing Li ,  Hong-Jiang Zhang

    IPC分类号： G06K9/40

    CPC分类号： H04N1/62 ,  G06K9/0061 ,  H04N1/624

    摘要： In one aspect, the present disclosure describes a process for automatic artifact compensation in a digital representation of an image. The process includes detecting, by a processor, regions corresponding to facial images within the digital representation; locating, by the processor, red-eye regions within the detected regions; and automatically modifying, by the processor, the located red-eye regions to provide a modified image.

    摘要翻译： 在一个方面，本公开描述了在图像的数字表示中自动伪像补偿的过程。 该处理包括由处理器检测对应于数字表示内的面部图像的区域; 由所述处理器将所述检测区域内的红眼区域定位; 并且由处理器自动修改所定位的红眼区域以提供经修改的图像。

    Head pose assessment methods and systems
    4.
    发明授权
    Head pose assessment methods and systems 有权
    头姿势评估方法和系统

    公开(公告)号：US07844086B2

    公开(公告)日：2010-11-30

    申请号：US12143717

    申请日：2008-06-20

    申请人： Yuxiao Hu ,  Lei Zhang ,  Mingjing Li ,  Hong-Jiang Zhang

    发明人： Yuxiao Hu ,  Lei Zhang ,  Mingjing Li ,  Hong-Jiang Zhang

    IPC分类号： G06K9/00

    CPC分类号： G06F3/012 ,  G06K9/00268 ,  G06K9/6211 ,  G06T7/73 ,  G06T2207/30201

    摘要： Improvements are provided to effectively assess a user's face and head pose such that a computer or like device can track the user's attention towards a display device(s). Then the region of the display or graphical user interface that the user is turned towards can be automatically selected without requiring the user to provide further inputs. A frontal face detector is applied to detect the user's frontal face and then key facial points such as left/right eye center, left/right mouth corner, nose tip, etc., are detected by component detectors. The system then tracks the user's head by an image tracker and determines yaw, tilt and roll angle and other pose information of the user's head through a coarse to fine process according to key facial points and/or confidence outputs by pose estimator.

    摘要翻译： 提供了改进以有效地评估用户的脸部和头部姿势，使得计算机或类似装置可以跟踪用户对显示装置的注意。 然后可以自动选择用户转向的显示或图形用户界面的区域，而不需要用户提供进一步的输入。 应用前置面部检测器来检测使用者的正面，然后通过部件检测器检测左右眼中心，左/右口角，鼻尖等的关键面部点。 然后，系统通过图像跟踪器跟踪用户的头部，并且通过姿态估计器根据关键面部点和/或置信输出，通过粗略到精细处理确定用户头部的偏航，倾斜和滚动角度和其他姿态信息。

    Robust multi-view face detection methods and apparatuses
    5.
    发明授权
    Robust multi-view face detection methods and apparatuses 有权
    强大的多视角人脸检测方法和装置

    公开(公告)号：US07689033B2

    公开(公告)日：2010-03-30

    申请号：US10621260

    申请日：2003-07-16

    申请人： Rong Xiao ,  Long Zhu ,  Lei Zhang ,  Mingjing Li ,  Hong-Jiang Zhang

    发明人： Rong Xiao ,  Long Zhu ,  Lei Zhang ,  Mingjing Li ,  Hong-Jiang Zhang

    IPC分类号： G06K9/00 ,  G06K9/62 ,  G06K9/46 ,  G06K9/40

    CPC分类号： G06K9/4614 ,  G06K9/00228

    摘要： Face detection techniques are provided that use a multiple-stage face detection algorithm. An exemplary three-stage algorithm includes a first stage that applies linear-filtering to enhance detection performance by removing many non-face-like portions within an image, a second stage that uses a boosting chain that is adopted to combine boosting classifiers within a hierarchy “chain” structure, and a third stage that performs post-filtering using image pre-processing, SVM-filtering and color-filtering to refine the final face detection prediction. In certain further implementations, the face detection techniques include a two-level hierarchy in-plane pose estimator to provide a rapid multi-view face detector that further improves the accuracy and robustness of face detection.

    摘要翻译： 提供了使用多级面部检测算法的人脸检测技术。 示例性的三阶段算法包括第一阶段，其通过去除图像内的许多非面部部分来应用线性滤波以增强检测性能;第二阶段，其使用用于组合层级内的增强分类器的升压链 “链”结构，以及使用图像预处理，SVM滤波和颜色滤波来完成最终面部检测预测来执行后置滤波的第三阶段。 在某些进一步的实施方式中，面部检测技术包括两层次平面姿态估计器，以提供进一步提高面部检测的准确性和鲁棒性的快速多视角面部检测器。

    Head Pose Assessment Methods and Systems
    6.
    发明申请
    Head Pose Assessment Methods and Systems 有权
    头姿评估方法与系统

    公开(公告)号：US20080298637A1

    公开(公告)日：2008-12-04

    申请号：US12143717

    申请日：2008-06-20

    申请人： Yuxiao Hu ,  Lei Zhang ,  Mingjing Li ,  Hong-Jiang Zhang

    发明人： Yuxiao Hu ,  Lei Zhang ,  Mingjing Li ,  Hong-Jiang Zhang

    IPC分类号： G06K9/00

    CPC分类号： G06F3/012 ,  G06K9/00268 ,  G06K9/6211 ,  G06T7/73 ,  G06T2207/30201

    摘要： Improvements are provided to effectively assess a user's face and head pose such that a computer or like device can track the user's attention towards a display device(s). Then the region of the display or graphical user interface that the user is turned towards can be automatically selected without requiring the user to provide further inputs. A frontal face detector is applied to detect the user's frontal face and then key facial points such as left/right eye center, left/right mouth corner, nose tip, etc., are detected by component detectors. The system then tracks the user's head by an image tracker and determines yaw, tilt and roll angle and other pose information of the user's head through a coarse to fine process according to key facial points and/or confidence outputs by pose estimator.

    摘要翻译： 提供了改进以有效地评估用户的脸部和头部姿势，使得计算机或类似装置可以跟踪用户对显示装置的注意。 然后可以自动选择用户转向的显示或图形用户界面的区域，而不需要用户提供进一步的输入。 应用前置面部检测器来检测使用者的正面，然后通过部件检测器检测左右眼中心，左/右口角，鼻尖等的关键面部点。 然后，系统通过图像跟踪器跟踪用户的头部，并且通过姿态估计器根据关键面部点和/或置信输出，通过粗略到精细处理确定用户头部的偏航，倾斜和滚动角度和其他姿态信息。

    Systems and methods for indexing and retrieving images
    7.
    发明申请
    Systems and methods for indexing and retrieving images 失效
    索引和检索图像的系统和方法

    公开(公告)号：US20050100221A1

    公开(公告)日：2005-05-12

    申请号：US10703300

    申请日：2003-11-07

    申请人： Mingjing Li ,  Lei Zhang ,  Yan-Feng Sun ,  Hong-Jiang Zhang

    发明人： Mingjing Li ,  Lei Zhang ,  Yan-Feng Sun ,  Hong-Jiang Zhang

    IPC分类号： G06T7/00 ,  G06F17/30 ,  G06F19/00 ,  G06T7/40 ,  G06K9/34 ,  G06K9/52

    CPC分类号： G06F17/30262 ,  G06T7/33 ,  G06T7/37 ,  G06T7/42 ,  G06T2207/20056

    摘要： Systems and methods for indexing and retrieving images are described herein. The systems and methods analyze an image to determine its texture moments. The pixels of the image are converted to gray scale. Textural attributes of the pixels are determined. The textural attributes are associated with the local texture of the pixels and are derived from coefficients of Discrete Fourier Transform associated with the pixels. Statistical values associated with the textural attributes of the pixels are calculated. The texture moments of the image are determined from the statistical value.

    摘要翻译： 本文描述了索引和检索图像的系统和方法。 系统和方法分析图像以确定其纹理矩。 图像的像素被转换成灰度级。 确定像素的纹理属性。 纹理属性与像素的局部纹理相关联，并且从与像素相关联的离散傅立叶变换的系数导出。 计算与像素的纹理属性相关联的统计值。 根据统计值确定图像的纹理矩。

    Head pose assessment methods and systems
    8.
    发明授权
    Head pose assessment methods and systems 有权
    头姿势评估方法和系统

    公开(公告)号：US08135183B2

    公开(公告)日：2012-03-13

    申请号：US12940408

    申请日：2010-11-05

    申请人： Yuxiao Hu ,  Lei Zhang ,  Mingjing Li ,  Hong-Jiang Zhang

    发明人： Yuxiao Hu ,  Lei Zhang ,  Mingjing Li ,  Hong-Jiang Zhang

    IPC分类号： G06K9/00

    CPC分类号： G06F3/012 ,  G06K9/00268 ,  G06K9/6211 ,  G06T7/73 ,  G06T2207/30201

    摘要： Improvements are provided to effectively assess a user's face and head pose such that a computer or like device can track the user's attention towards a display device(s). Then the region of the display or graphical user interface that the user is turned towards can be automatically selected without requiring the user to provide further inputs. A frontal face detector is applied to detect the user's frontal face and then key facial points such as left/right eye center, left/right mouth corner, nose tip, etc., are detected by component detectors. The system then tracks the user's head by an image tracker and determines yaw, tilt and roll angle and other pose information of the user's head through a coarse to fine process according to key facial points and/or confidence outputs by pose estimator.

    摘要翻译： 提供了改进以有效地评估用户的脸部和头部姿势，使得计算机或类似装置可以跟踪用户对显示装置的注意。 然后可以自动选择用户转向的显示或图形用户界面的区域，而不需要用户提供进一步的输入。 应用前置面部检测器来检测使用者的正面，然后通过部件检测器检测左右眼中心，左/右口角，鼻尖等的关键面部点。 然后，系统通过图像跟踪器跟踪用户的头部，并且通过姿态估计器根据关键面部点和/或置信输出，通过粗略到精细处理确定用户头部的偏航，倾斜和滚动角度和其他姿态信息。

    HEAD POSE ASSESSMENT METHODS AND SYSTEMS
    9.
    发明申请
    HEAD POSE ASSESSMENT METHODS AND SYSTEMS 有权
    头部评估方法和系统

    公开(公告)号：US20110050568A1

    公开(公告)日：2011-03-03

    申请号：US12940408

    申请日：2010-11-05

    申请人： Yuxiao HU ,  Lei Zhang ,  Mingjing Li ,  Hong-Jiang Zhang

    发明人： Yuxiao HU ,  Lei Zhang ,  Mingjing Li ,  Hong-Jiang Zhang

    IPC分类号： G06F3/033 ,  G06F3/01

    CPC分类号： G06F3/012 ,  G06K9/00268 ,  G06K9/6211 ,  G06T7/73 ,  G06T2207/30201

    摘要： Improvements are provided to effectively assess a user's face and head pose such that a computer or like device can track the user's attention towards a display device(s). Then the region of the display or graphical user interface that the user is turned towards can be automatically selected without requiring the user to provide further inputs. A frontal face detector is applied to detect the user's frontal face and then key facial points such as left/right eye center, left/right mouth corner, nose tip, etc., are detected by component detectors. The system then tracks the user's head by an image tracker and determines yaw, tilt and roll angle and other pose information of the user's head through a coarse to fine process according to key facial points and/or confidence outputs by pose estimator.

    摘要翻译： 提供了改进以有效地评估用户的脸部和头部姿势，使得计算机或类似装置可以跟踪用户对显示装置的注意。 然后可以自动选择用户转向的显示或图形用户界面的区域，而不需要用户提供进一步的输入。 应用前置面部检测器来检测使用者的正面，然后通过部件检测器检测左右眼中心，左/右口角，鼻尖等的关键面部点。 然后，系统通过图像跟踪器跟踪用户的头部，并且通过姿态估计器根据关键面部点和/或置信输出，通过粗略到精细处理确定用户头部的偏航，倾斜和滚动角度和其他姿态信息。

    Unified bayesian framework for shape registration
    10.
    发明授权
    Unified bayesian framework for shape registration 失效
    用于形状注册的统一的贝叶斯框架

    公开(公告)号：US07292737B2

    公开(公告)日：2007-11-06

    申请号：US10641608

    申请日：2003-08-15

    申请人： Yi Zhou ,  Lie Gu ,  Lei Zhang ,  Mingjing Li ,  Hong-Jiang Zhang

    发明人： Yi Zhou ,  Lie Gu ,  Lei Zhang ,  Mingjing Li ,  Hong-Jiang Zhang

    IPC分类号： G06K9/32 ,  G06K9/36

    CPC分类号： G06K9/00281 ,  G06K9/621

    摘要： Systems and methods for shape registration are described. In one aspect, training shape vectors are generated from images in an image database. The training shape vectors identify landmark points associated with one or more object types. A distribution of shape in the training shape vectors is represented as a prior of tangent shape in tangent shape space. The prior of tangent shape is then incorporated into a unified Bayesian framework for shape registration.

    摘要翻译： 描述了用于形状配准的系统和方法。 在一个方面，训练形状向量是从图像数据库中的图像生成的。 训练形状向量识别与一个或多个对象类型相关联的地标点。 训练形状矢量中的形状分布被表示为切线形状空间中的切线形状之前。 之前的切线形状然后被并入到用于形状注册的统一的贝叶斯框架中。