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    • 11. 发明申请
    • HEAD POSE ASSESSMENT METHODS AND SYSTEMS
    • 头部评估方法和系统
    • US20110050568A1
    • 2011-03-03
    • US12940408
    • 2010-11-05
    • Yuxiao HULei ZhangMingjing LiHong-Jiang Zhang
    • Yuxiao HULei ZhangMingjing LiHong-Jiang Zhang
    • G06F3/033G06F3/01
    • G06F3/012G06K9/00268G06K9/6211G06T7/73G06T2207/30201
    • 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.
    • 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。
    • 12. 发明授权
    • Face annotation for photo management
    • 面部注释用于照片管理
    • US07274822B2
    • 2007-09-25
    • US10609974
    • 2003-06-30
    • Lei ZhangLongbin ChenMingjing LiHong-Jiang Zhang
    • Lei ZhangLongbin ChenMingjing LiHong-Jiang Zhang
    • G06K9/62
    • G06F17/30265G06K9/00288G06K2009/00328
    • Systems and methods for annotating a face in a digital image are described. In one aspect, a probability model is trained by mapping one or more sets of sample facial features to corresponding names of individuals. A face from an input data set of at least one the digital image is then detected. Facial features are then automatically extracted from the detected face. A similarity measure is them modeled as a posterior probability that the facial features match a particular set of features identified in the probability model. The similarity measure is statistically learned. A name is then inferred as a function of the similarity measure. The face is then annotated with the name.
    • 描述了用于在数字图像中注释面部的系统和方法。 在一个方面,通过将一组或多组样本面部特征映射到个人的相应名称来训练概率模型。 然后检测来自至少一个数字图像的输入数据集的面。 然后从检测到的脸部自动提取面部特征。 相似性度量是他们被模型化为面部特征与在概率模型中识别的特定特征集合相匹配的后验概率。 统计学习相似性度量。 然后将该名称推定为相似性度量的函数。 然后用该名称注明脸部。
    • 14. 发明申请
    • Robust multi-view face detection methods and apparatuses
    • 强大的多视角人脸检测方法和装置
    • US20050013479A1
    • 2005-01-20
    • US10621260
    • 2003-07-16
    • Rong XiaoLong ZhuLei ZhangMingjing LiHong-Jiang Zhang
    • Rong XiaoLong ZhuLei ZhangMingjing LiHong-Jiang Zhang
    • G06K9/00G06K9/62
    • G06K9/4614G06K9/00228
    • 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.
    • 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。
    • 15. 发明授权
    • Head pose assessment methods and systems
    • 头姿势评估方法和系统
    • US08457358B2
    • 2013-06-04
    • US13398171
    • 2012-02-16
    • Yuxiao HuHong-Jiang ZhangMingjing LiLei Zhang
    • Yuxiao HuHong-Jiang ZhangMingjing LiLei Zhang
    • G06K9/00
    • G06F3/012G06K9/00268G06K9/6211G06T7/73G06T2207/30201
    • 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.
    • 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。
    • 16. 发明申请
    • Head Pose Assessment Methods And Systems
    • 头姿评估方法与系统
    • US20120139832A1
    • 2012-06-07
    • US13398171
    • 2012-02-16
    • Yuxiao HULei ZhangMingjing LiHong-Jiang Zhang
    • Yuxiao HULei ZhangMingjing LiHong-Jiang Zhang
    • G06F3/01
    • G06F3/012G06K9/00268G06K9/6211G06T7/73G06T2207/30201
    • 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.
    • 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。
    • 17. 发明授权
    • Head pose assessment methods and systems
    • 头姿势评估方法和系统
    • US07391888B2
    • 2008-06-24
    • US10452783
    • 2003-05-30
    • Yuxiao HuLei ZhangMingjing LiHong-Jiang Zhang
    • Yuxiao HuLei ZhangMingjing LiHong-Jiang Zhang
    • G06K9/00
    • G06F3/012G06K9/00268G06K9/6211G06T7/73G06T2207/30201
    • 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.
    • 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。