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    Method and Apparatus for Red-Eye Detection in an Acquired Digital Image
    51.
    发明申请
    Method and Apparatus for Red-Eye Detection in an Acquired Digital Image 有权
    获取数字图像中红眼检测的方法和装置

    公开(公告)号：US20090304278A1

    公开(公告)日：2009-12-10

    申请号：US12543405

    申请日：2009-08-18

    申请人： Eran Steinberg ,  Yury Prilutsky ,  Petronel Bigioi ,  Florin Nanu

    发明人： Eran Steinberg ,  Yury Prilutsky ,  Petronel Bigioi ,  Florin Nanu

    IPC分类号： G06K9/00

    CPC分类号： G06K9/0061 ,  G06T5/008 ,  G06T2207/20008 ,  G06T2207/30216

    摘要： A method for red-eye detection in an acquired digital image comprises acquiring a first image and analyzing the first acquired image to provide a plurality of characteristics indicative of image quality. The process then determines if one or more corrective processes can be beneficially applied to the first acquired image according to the characteristics. Any such corrective processes are then applied to the first acquired image. Red-eye defects are then detected in a second acquired image using the corrected first acquired image. Defect detection can comprise applying a chain of one or more red-eye filters to the first acquired image. In this case, prior to the detecting step, it is determined if the red-eye filter chain can be adapted in accordance with the plurality of characteristics; and the red-eye filter is adapted accordingly.

    摘要翻译： 在所获取的数字图像中的红眼检测方法包括：获取第一图像并分析第一获取图像以提供指示图像质量的多个特征。 然后，该过程确定是否可以根据特征将一个或多个校正过程有益地应用于第一获取的图像。 然后将任何这样的校正过程应用于第一获取的图像。 然后使用校正的第一获取图像在第二获取图像中检测红眼缺陷。 缺陷检测可以包括将一个或多个红眼滤波器的链应用于第一获取的图像。 在这种情况下，在检测步骤之前，确定红眼滤波器链是否可以根据多种特性进行调整; 并且相应地适配红眼滤镜。

    Method and apparatus for red-eye detection in an acquired digital image
    52.
    发明授权
    Method and apparatus for red-eye detection in an acquired digital image 有权
    在获取的数字图像中用于红眼检测的方法和装置

    公开(公告)号：US07953250B2

    公开(公告)日：2011-05-31

    申请号：US12543405

    申请日：2009-08-18

    申请人： Eran Steinberg ,  Yury Prilutsky ,  Petronel Bigioi ,  Florin Nanu

    发明人： Eran Steinberg ,  Yury Prilutsky ,  Petronel Bigioi ,  Florin Nanu

    IPC分类号： G06K9/00

    CPC分类号： G06K9/0061 ,  G06T5/008 ,  G06T2207/20008 ,  G06T2207/30216

    摘要： A method for red-eye detection in an acquired digital image comprises acquiring a first image and analyzing the first acquired image to provide a plurality of characteristics indicative of image quality. The process then determines if one or more corrective processes can be beneficially applied to the first acquired image according to the characteristics. Any such corrective processes are then applied to the first acquired image. Red-eye defects are then detected in a second acquired image using the corrected first acquired image. Defect detection can comprise applying a chain of one or more red-eye filters to the first acquired image. In this case, prior to the detecting step, it is determined if the red-eye filter chain can be adapted in accordance with the plurality of characteristics; and the red-eye filter is adapted accordingly.

    摘要翻译： 在所获取的数字图像中的红眼检测方法包括：获取第一图像并分析第一获取图像以提供指示图像质量的多个特征。 然后，该过程确定是否可以根据特征将一个或多个校正过程有益地应用于第一获取的图像。 然后将任何这样的校正过程应用于第一获取的图像。 然后使用校正的第一获取图像在第二获取图像中检测红眼缺陷。 缺陷检测可以包括将一个或多个红眼滤波器的链应用于第一获取的图像。 在这种情况下，在检测步骤之前，确定红眼滤波器链是否可以根据多种特性进行调整; 并且相应地适配红眼滤镜。

    Method and apparatus for red-eye detection in an acquired digital image using face recognition
    53.
    发明申请
    Method and apparatus for red-eye detection in an acquired digital image using face recognition 审中-公开
    使用脸部识别的获取的数字图像中的红眼检测方法和装置

    公开(公告)号：US20060093238A1

    公开(公告)日：2006-05-04

    申请号：US11182718

    申请日：2005-07-15

    申请人： Eran Steinberg ,  Yury Prilutsky ,  Petronel Bigioi ,  Florin Nanu

    发明人： Eran Steinberg ,  Yury Prilutsky ,  Petronel Bigioi ,  Florin Nanu

    IPC分类号： G06K9/40 ,  G06K9/00

    CPC分类号： G06K9/0061 ,  G06T7/90 ,  G06T2207/30216

    摘要： A method for red-eye detection in an acquired digital image comprises acquiring a first image and analysing the first acquired image to provide a plurality of characteristics indicative of image quality. The analysing step may also include recognizing one or more faces or types of face in the first acquired image, and performing the correction accordingly. The process then determines if one or more corrective processes can be beneficially applied to the first acquired image according to the characteristics. Any such corrective processes are then applied to the first acquired image. Red-eye defects are then detected in a second acquired image using the corrected first acquired image. Defect detection can comprise applying a chain of one or more red-eye filters to the first acquired image. In this case, prior to the detecting step, it is determined if the red-eye filter chain can be adapted in accordance with the plurality of characteristics: and the red-eye filter is adapted accordingly.

    摘要翻译： 在所获取的数字图像中的红眼检测方法包括：获取第一图像并分析第一获取图像以提供指示图像质量的多个特征。 分析步骤还可以包括识别第一获取图像中的一个或多个面部或类型的面部，并且相应地执行校正。 然后，该过程确定是否可以根据特征将一个或多个校正过程有益地应用于第一获取的图像。 然后将任何这样的校正过程应用于第一获取的图像。 然后使用校正的第一获取图像在第二获取图像中检测红眼缺陷。 缺陷检测可以包括将一个或多个红眼滤波器的链应用于第一获取的图像。 在这种情况下，在检测步骤之前，确定红眼滤波器链是否可以根据多种特征进行调整：并且相应地适配红眼滤波器。

    Classification system for consumer digital images using automatic workflow and face detection and recognition
    54.
    发明授权
    Classification system for consumer digital images using automatic workflow and face detection and recognition 有权
    消费者数字图像分类系统采用自动工作流程和人脸检测和识别

    公开(公告)号：US08199979B2

    公开(公告)日：2012-06-12

    申请号：US12506124

    申请日：2009-07-20

    申请人： Eran Steinberg ,  Peter Corcoran ,  Yury Prilutsky ,  Petronel Bigioi ,  Mihai Ciuc ,  Stefanita Ciurel ,  Constantin Vertran

    发明人： Eran Steinberg ,  Peter Corcoran ,  Yury Prilutsky ,  Petronel Bigioi ,  Mihai Ciuc ,  Stefanita Ciurel ,  Constantin Vertran

    IPC分类号： G06K9/00 ,  G06T1/00 ,  G06T7/00

    CPC分类号： G06F17/30247 ,  G06K9/00288

    摘要： A processor-based system operating according to digitally-embedded programming instructions includes a face detection module for identifying face regions within digital images. A normalization module generates a normalized version of the face region. A face recognition module automatically extracts a set of face classifier parameter values from the normalized face region that are referred to as a faceprint. A workflow module automatically compares the extracted faceprint to a database of archived faceprints previously determined to correspond to known identities. The workflow module determines based on the comparing whether the new faceprint corresponds to any of the known identities, and associates the new faceprint and normalized face region with a new or known identity within a database. A database module serves to archive data corresponding to the new faceprint and its associated parent image according to the associating by the workflow module within one or more digital data storage media.

    摘要翻译： 基于数字嵌入式编程指令操作的基于处理器的系统包括用于识别数字图像内的面部区域的面部检测模块。 归一化模块生成面部区域的归一化版本。 面部识别模块自动从被称为面部印迹的归一化面部区域中提取一组面部分类器参数值。 工作流程模块自动将提取的面部图像与先前确定为对应于已知身份的归档面版的数据库进行比较。 工作流程模块基于比较新的面印是否对应于任何已知身份，并且将新的面部和正规化面部区域与数据库内的新的或已知的身份相关联来确定。 数据库模块用于根据工作流模块在一个或多个数字数据存储介质中的关联来存档对应于新的面部照片及其相关联的父图像的数据。