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    Object of interest based image processing
    2.
    发明授权
    Object of interest based image processing 有权
    基于兴趣的图像处理对象

    公开(公告)号：US09247203B2

    公开(公告)日：2016-01-26

    申请号：US13994077

    申请日：2011-04-11

    申请人： Qiang Li ,  Wenlong Li ,  Peng Wang ,  Tao Wang ,  Yangzhou Du ,  Jianguo Li

    发明人： Qiang Li ,  Wenlong Li ,  Peng Wang ,  Tao Wang ,  Yangzhou Du ,  Jianguo Li

    IPC分类号： H04N7/15 ,  H04N19/115 ,  H04N19/17 ,  H04N19/167 ,  H04N19/59

    CPC分类号： H04N7/15 ,  H04N19/115 ,  H04N19/167 ,  H04N19/17 ,  H04N19/59

    摘要： An apparatus, a method and a system are provided, wherein the system includes an encoding engine to encode and/or compress one or more objects of interest within individual image frames with higher bit densities than the bit density employed to encode and/or compress their background. The system may further include a context engine to identify a region of interest including at least a part of the one or more objects of interest, and scale the region of interest within individual image frames to emphasize the objects of interest.

    摘要翻译： 提供了一种装置，方法和系统，其中所述系统包括编码引擎，以在具有比用于编码和/或压缩它们的比特密度更高的比特密度的单个图像帧内对一个或多个感兴趣对象进行编码和/或压缩 背景。 该系统可以进一步包括上下文引擎，以识别包括所述一个或多个感兴趣对象的至少一部分的感兴趣区域，以及在各个图像帧内缩放感兴趣区域以强调感兴趣的对象。

    FACE RECOGNITION CONTROL AND SOCIAL NETWORKING
    3.
    发明申请
    FACE RECOGNITION CONTROL AND SOCIAL NETWORKING 审中-公开
    面部识别控制和社会网络

    公开(公告)号：US20140026157A1

    公开(公告)日：2014-01-23

    申请号：US13996499

    申请日：2011-04-11

    申请人： Tao Wang ,  Wenlong Li ,  Qiang Li ,  Peng Wang ,  Jiqiang Song ,  Jianguo Li ,  Yangzhou Du ,  Yimin Zhang

    发明人： Tao Wang ,  Wenlong Li ,  Qiang Li ,  Peng Wang ,  Jiqiang Song ,  Jianguo Li ,  Yangzhou Du ,  Yimin Zhang

    IPC分类号： H04N21/4415 ,  H04N21/442

    CPC分类号： H04N21/4415 ,  G06F21/32 ,  H04L51/046 ,  H04L51/32 ,  H04N21/25875 ,  H04N21/44218 ,  H04N21/4788

    摘要： Methods, apparatuses, and articles associated with face recognition login, social network and video chat are disclosed herein. In various embodiments, an apparatus may include a networking interface, and a face recognition based controller configured to determine whether a user is watching a television, based on image frames of a video signal generated by a camera. The controller may be further configured to transmit a login request, via the network interface, to a server associated with a social network, on determination that the user is watching the television, to log the user into the social network, and enabling video chat. Other embodiments may be disclosed and/or claimed.

    摘要翻译： 本文公开了与面部识别登录，社交网络和视频聊天相关联的方法，装置和文章。 在各种实施例中，装置可以包括网络接口，以及基于面部识别的控制器，其被配置为基于由相机生成的视频信号的图像帧来确定用户正在观看电视。 控制器还可以被配置为：在确定用户正在观看电视的情况下，将登录请求经由网络接口​​发送到与社交网络相关联的服务器，将用户登录到社交网络中，以及启用视频聊天。 可以公开和/或要求保护其他实施例。

    OBJECT OF INTEREST BASED IMAGE PROCESSING
    4.
    发明申请
    OBJECT OF INTEREST BASED IMAGE PROCESSING 有权
    基于兴趣的图像处理对象

    公开(公告)号：US20130342640A1

    公开(公告)日：2013-12-26

    申请号：US13994077

    申请日：2011-04-11

    申请人： Qiang Li ,  Wenlong Li ,  Peng Wang ,  Tao Wang ,  Yangzhou Du ,  Jianguo Li

    发明人： Qiang Li ,  Wenlong Li ,  Peng Wang ,  Tao Wang ,  Yangzhou Du ,  Jianguo Li

    IPC分类号： H04N7/26 ,  H04N7/15

    CPC分类号： H04N7/15 ,  H04N19/115 ,  H04N19/167 ,  H04N19/17 ,  H04N19/59

    摘要： An apparatus, a method and a system are provided, wherein the system includes an encoding engine to encode and/or compress one or more objects of interest within individual image frames with higher bit densities than the bit density employed to encode and/or compress their background. The system may further include a context engine to identify a region of interest including at least a part of the one or more objects of interest, and scale the region of interest within individual image frames to emphasize the objects of interest.

    摘要翻译： 提供了一种装置，方法和系统，其中所述系统包括编码引擎，以在具有比用于编码和/或压缩它们的比特密度更高的比特密度的单个图像帧内对一个或多个感兴趣对象进行编码和/或压缩 背景。 该系统可以进一步包括上下文引擎，以识别包括所述一个或多个感兴趣对象的至少一部分的感兴趣区域，以及在各个图像帧内缩放感兴趣区域以强调感兴趣的对象。

    TRACKING AND RECOGNITION OF FACES USING SELECTED REGION CLASSIFICATION
    5.
    发明申请
    TRACKING AND RECOGNITION OF FACES USING SELECTED REGION CLASSIFICATION 有权
    使用选定区域分类来跟踪和识别

    公开(公告)号：US20140241574A1

    公开(公告)日：2014-08-28

    申请号：US13996496

    申请日：2011-04-11

    申请人： Tao Wang ,  Jianguo Li ,  Yangzhou Du ,  Qiang Li ,  Yimin Zhang

    发明人： Tao Wang ,  Jianguo Li ,  Yangzhou Du ,  Qiang Li ,  Yimin Zhang

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00288 ,  G06K9/00221

    摘要： Methods, apparatuses, and articles associated with facial tracking and recognition are disclosed. In embodiments, facial images may be detected in video or still images and tracked. After normalization of the facial images, feature data may be extracted from selected regions of the faces to compare to associated feature data in known faces. The selected regions may be determined using a boosting machine learning processes over a set of known images. After extraction, individual two-class comparisons may be performed between corresponding feature data from regions on the tested facial images and from the known facial image. The individual two-class classifications may then be combined to determine a similarity score for the tested face and the known face. If the similarity score exceeds a threshold, an identification of the known face may be output or otherwise used. Additionally, tracking with voting may be performed on faces detected in video. After a threshold of votes is reached, a given tracked face may be associated with a known face.

    摘要翻译： 公开了与面部跟踪和识别有关的方法，装置和文章。 在实施例中，可以在视频或静止图像中检测面部图像并进行跟踪。 在面部图像归一化之后，可以从面部的选定区域提取特征数据，以与已知面部中的相关特征数据进行比较。 可以使用一组已知图像上的升压机学习处理来确定所选择的区域。 提取后，可以在来自所测试的面部图像上的区域和来自已知面部图像的相应特征数据之间进行单独的两类比较。 然后可以组合个体两类分类以确定测试面部和已知面部的相似性得分。 如果相似性分数超过阈值，则可以输出或以其他方式使用已知面部的识别。 此外，可以对在视频中检测到的脸部进行投票跟踪。 在达成一个选票之后，一个给定的被追踪的面孔可能与一个已知的面孔相关联。

    METHOD OF DETECTING FACIAL ATTRIBUTES
    6.
    发明申请
    METHOD OF DETECTING FACIAL ATTRIBUTES 有权
    检测真菌属性的方法

    公开(公告)号：US20140003663A1

    公开(公告)日：2014-01-02

    申请号：US13997310

    申请日：2011-04-11

    申请人： Jianguo Li ,  Tao Wang ,  Yangzhou Du ,  Qiang Li

    发明人： Jianguo Li ,  Tao Wang ,  Yangzhou Du ,  Qiang Li

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00228 ,  G06K9/00241 ,  G06K9/00281

    摘要： Detection of a facial attribute such as a smile or gender in a human face in an image is performed by embodiments of the present invention in a computationally efficient manner. First, a face in the image is detected to produce a facial image. Facial landmarks are detected in the facial image. The facial image is aligned and normalized based on the detected facial landmarks to produce a normalized facial image. Local features from selected local regions are extracted from the normalized facial image. A facial attribute is predicted in each selected local region by inputting each selected local feature into a weak classifier having a multi-layer perceptron (MLP) structure. Finally, output data is aggregated from each weak classifier component to generate all indication that the facial attribute is detected in the facial image.

    摘要翻译： 通过本发明的实施例以计算上有效的方式来检测图像中的人脸中的笑脸或性别的面部属性。 首先，检测图像中的脸部以产生面部图像。 在面部图像中检测到面部地标。 基于检测到的面部地标对面部图像进行对准和归一化，以产生归一化的面部图像。 从标准化的面部图像中提取来自所选择的局部区域的局部特征。 通过将每个选定的局部特征输入到具有多层感知器（MLP）结构的弱分类器中，在每个选定的局部区域中预测面部属性。 最后，从每个弱分类器组件聚合输出数据，以产生在面部图像中检测到面部属性的所有指示。

    METHOD OF FACIAL LANDMARK DETECTION
    8.
    发明申请
    METHOD OF FACIAL LANDMARK DETECTION 有权
    方法地名检测方法

    公开(公告)号：US20140050358A1

    公开(公告)日：2014-02-20

    申请号：US13997296

    申请日：2011-03-31

    申请人： Ang Liu ,  Yangzhou Du ,  Tao Wang ,  Jianguo Li ,  Qiang Li ,  Yimin Zhang

    发明人： Ang Liu ,  Yangzhou Du ,  Tao Wang ,  Jianguo Li ,  Qiang Li ,  Yimin Zhang

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00248 ,  G06K9/00281 ,  G06K9/6209

    摘要： Detecting facial landmarks in a face detected in an image may be performed by first cropping a face rectangle region of the detected face in the image and generating an integral image based at least in part on the face rectangle region. Next, a cascade classifier may be executed for each facial landmark of the face rectangle region to produce one response image for each facial landmark based at least in part on the integral image. A plurality of Active Shape Model (ASM) initializations may be set up. ASM searching may be performed for each of the ASM initializations based at least in part on the response images, each ASM search resulting in a search result having a cost. Finally, a search result of the ASM searches having a lowest cost function may be selected, the selected search result indicating locations of the facial landmarks in the image.

    摘要翻译： 可以通过首先裁剪图像中检测到的面部的面部矩形区域并且至少部分地基于面部矩形区域来生成整体图像来检测在图像中检测到的面部中的面部界标。 接下来，可以对面部矩形区域的每个面部标记执行级联分类器，以至少部分地基于积分图像来为每个面部标记产生一个响应图像。 可以设置多个活动形状模型（ASM）初始化。 可以至少部分地基于响应图像来对每个ASM初始化执行ASM搜索，每个ASM搜索导致搜索结果具有成本。 最后，可以选择具有最低成本函数的ASM搜索的搜索结果，所选择的搜索结果指示图像中的面部地标的位置。

    Method of facial landmark detection
    9.
    发明授权
    Method of facial landmark detection 有权
    面部地标检测方法

    公开(公告)号：US09471829B2

    公开(公告)日：2016-10-18

    申请号：US13997296

    申请日：2011-03-31

    申请人： Ang Liu ,  Yangzhou Du ,  Tao Wang ,  Jianguo Li ,  Qiang Li ,  Yimin Zhang

    发明人： Ang Liu ,  Yangzhou Du ,  Tao Wang ,  Jianguo Li ,  Qiang Li ,  Yimin Zhang

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

    CPC分类号： G06K9/00248 ,  G06K9/00281 ,  G06K9/6209

    摘要： Detecting facial landmarks in a face detected in an image may be performed by first cropping a face rectangle region of the detected face in the image and generating an integral image based at least in part on the face rectangle region. Next, a cascade classifier may be executed for each facial landmark of the face rectangle region to produce one response image for each facial landmark based at least in part on the integral image. A plurality of Active Shape Model (ASM) initializations may be set up. ASM searching may be performed for each of the ASM initializations based at least in part on the response images, each ASM search resulting in a search result having a cost. Finally, a search result of the ASM searches having a lowest cost function may be selected, the selected search result indicating locations of the facial landmarks in the image.

    摘要翻译： 可以通过首先裁剪图像中检测到的面部的面部矩形区域并且至少部分地基于面部矩形区域来生成整体图像来检测在图像中检测到的面部中的面部界标。 接下来，可以对面部矩形区域的每个面部标记执行级联分类器，以至少部分地基于积分图像来为每个面部标记产生一个响应图像。 可以设置多个活动形状模型（ASM）初始化。 可以至少部分地基于响应图像来对每个ASM初始化执行ASM搜索，每个ASM搜索导致搜索结果具有成本。 最后，可以选择具有最低成本函数的ASM搜索的搜索结果，所选择的搜索结果指示图像中的面部地标的位置。

    Tracking and recognition of faces using selected region classification
    10.
    发明授权
    Tracking and recognition of faces using selected region classification 有权
    使用选择的区域分类来跟踪和识别面部

    公开(公告)号：US09489567B2

    公开(公告)日：2016-11-08

    申请号：US13996496

    申请日：2011-04-11

    申请人： Tao Wang ,  Jianguo Li ,  Yangzhou Du ,  Qiang Li ,  Yimin Zhang

    发明人： Tao Wang ,  Jianguo Li ,  Yangzhou Du ,  Qiang Li ,  Yimin Zhang

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00288 ,  G06K9/00221

    摘要： Methods, apparatuses, and articles associated with facial tracking and recognition are disclosed. In embodiments, facial images may be detected in video or still images and tracked. After normalization of the facial images, feature data may be extracted from selected regions of the faces to compare to associated feature data in known faces. The selected regions may be determined using a boosting machine learning processes over a set of known images. After extraction, individual two-class comparisons may be performed between corresponding feature data from regions on the tested facial images and from the known facial image. The individual two-class classifications may then be combined to determine a similarity score for the tested face and the known face. If the similarity score exceeds a threshold, an identification of the known face may be output or otherwise used. Additionally, tracking with voting may be performed on faces detected in video. After a threshold of votes is reached, a given tracked face may be associated with a known face.

    摘要翻译： 公开了与面部跟踪和识别有关的方法，装置和文章。 在实施例中，可以在视频或静止图像中检测面部图像并进行跟踪。 在面部图像归一化之后，可以从面部的选定区域提取特征数据，以与已知面部中的相关特征数据进行比较。 可以使用一组已知图像上的升压机学习处理来确定所选择的区域。 提取后，可以在来自所测试的面部图像上的区域和来自已知面部图像的相应特征数据之间进行单独的两类比较。 然后可以组合个体两类分类以确定测试面部和已知面部的相似性得分。 如果相似性分数超过阈值，则可以输出或以其他方式使用已知面部的识别。 此外，可以对在视频中检测到的脸部进行投票跟踪。 在达成一个选票之后，一个给定的被追踪的面孔可能与一个已知的面孔相关联。