Method and system for constructing a 3D representation of a face from a 2D representation
    11.
    发明授权
    Method and system for constructing a 3D representation of a face from a 2D representation 有权
    用于从2D表示构造面部的3D表示的方法和系统

    公开(公告)号:US07415152B2

    公开(公告)日:2008-08-19

    申请号:US11118116

    申请日:2005-04-29

    IPC分类号: G06K9/00

    CPC分类号: G06K9/00288 G06K9/00208

    摘要: A method and system for generating 3D images of faces from 2D images, for generating 2D images of the faces at different image conditions from the 3D images, and for recognizing a 2D image of a target face based on the generated 2D images is provided. The recognition system provides a 3D model of a face that includes a 3D image of a standard face under a standard image condition and parameters indicating variations of an individual face from the standard face. To generate the 3D image of a face, the recognition system inputs a 2D image of the face under a standard image condition. The recognition system then calculates parameters that map the points of the 2D image to the corresponding points of a 2D image of the standard face. The recognition system uses these parameters with the 3D model to generate 3D images of the face at different image conditions.

    摘要翻译: 提供了一种用于从2D图像生成面部的3D图像的方法和系统,用于在3D图像的不同图像条件下生成面部的2D图像,并且基于所生成的2D图像来识别目标面部的2D图像。 识别系统提供了一种面部的3D模型,其包括在标准图像条件下的标准面的3D图像和指示单个脸部与标准脸部的变化的参数。 为了生成面部的3D图像,识别系统在标准图像条件下输入面部的2D图像。 识别系统然后计算将2D图像的点映射到标准面的2D图像的对应点的参数。 识别系统使用这些参数与3D模型在不同图像条件下生成脸部的3D图像。

    Robust multi-view face detection methods and apparatuses
    12.
    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

    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。

    Modification of red-eye-effect in digital image
    13.
    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

    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。

    Systems and methods for indexing and retrieving images
    14.
    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

    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。

    Speedup of face detection in digital images
    16.
    发明授权
    Speedup of face detection in digital images 有权
    加快数字图像中的人脸检测

    公开(公告)号:US07190829B2

    公开(公告)日:2007-03-13

    申请号:US10610245

    申请日:2003-06-30

    IPC分类号: G06K9/00

    CPC分类号: G06K9/6256 G06K9/00234

    摘要: Improved methods and apparatuses are provided for use in face detection. The methods and apparatuses significantly reduce the number of candidate windows within a digital image that need to be processed using more complex and/or time consuming face detection algorithms. The improved methods and apparatuses include a skin color filter and an adaptive non-face skipping scheme.

    摘要翻译: 提供改进的方法和装置用于面部检测。 这些方法和装置显着地减少了使用更复杂和/或耗时的面部检测算法需要处理的数字图像内的候选窗口数量。 改进的方法和装置包括皮肤滤色器和自适应非面部跳过方案。

    Systems and methods for indexing and retrieving images
    17.
    发明授权
    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:US07233708B2

    公开(公告)日:2007-06-19

    申请号:US10703300

    申请日:2003-11-07

    IPC分类号: G06K9/54

    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: 本文描述了用于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。

    Unified bayesian framework for shape registration
    18.
    发明申请
    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:US20050036690A1

    公开(公告)日:2005-02-17

    申请号:US10641608

    申请日:2003-08-15

    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。

    Unified bayesian framework for shape registration
    19.
    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

    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。

    Face annotation for photo management
    20.
    发明授权
    Face annotation for photo management 有权
    面部注释用于照片管理

    公开(公告)号:US07274822B2

    公开(公告)日:2007-09-25

    申请号:US10609974

    申请日:2003-06-30

    IPC分类号: G06K9/62

    摘要: 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.

    摘要翻译: 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。