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    • 81. 发明申请
    • Method and apparatus for red-eye detection in an acquired digital image using face recognition
    • 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
    • US20060093238A1
    • 2006-05-04
    • US11182718
    • 2005-07-15
    • Eran SteinbergYury PrilutskyPetronel BigioiFlorin Nanu
    • Eran SteinbergYury PrilutskyPetronel BigioiFlorin Nanu
    • G06K9/40G06K9/00
    • G06K9/0061G06T7/90G06T2207/30216
    • 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.
    • 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。
    • 82. 发明申请
    • Method and apparatus for red-eye detection in an acquired digital image based on image quality pre and post filtering
    • 基于图像质量前后滤波的获取的数字图像中的红眼检测方法和装置
    • US20060093213A1
    • 2006-05-04
    • US11123971
    • 2005-05-06
    • Eran SteinbergPeter CorcoranYury PrilutskyPetronel BigioiFlorin Nanu
    • Eran SteinbergPeter CorcoranYury PrilutskyPetronel BigioiFlorin Nanu
    • G06K9/00G06K9/40
    • H04N1/62G06K9/0061G06T5/005G06T5/008G06T7/90G06T2207/30216H04N1/624
    • A method for red-eye detection in an acquired digital image comprises acquiring a first image and analyzing the first acquired image to provide 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 applied and red-eye defects are detected in an established order established according to determination and analysis of characteristics of the corrective process and/or resulting image qualities. Defect correction can comprise applying one or more image correction operations, or a chain of two 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 or red eye filter chain should be applied before or after image corrective processes and whether the red eye filter can be adapted in accordance with the characteristics. The red-eye filter and the order in which it is executed in relation to the various image corrective operations may be adapted accordingly.
    • 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。 应用任何这样的校正过程,并且按照根据校正过程的特性的确定和分析建立的既定顺序和/或所得到的图像质量来检测红眼缺陷。 缺陷校正可以包括将一个或多个图像校正操作或两个或更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,确定在图像校正处理之前或之后是否应用红眼滤波器或红眼滤波器链,以及是否可以根据特性适配红眼滤波器。 可以相应地调整红眼滤波器及其相对于各种图像校正操作执行它的顺序。
    • 83. 发明申请
    • Continuous Autofocus Based on Face Detection and Tracking
    • 基于人脸检测和跟踪的连续自动对焦
    • US20120075492A1
    • 2012-03-29
    • US12959320
    • 2010-12-02
    • Florin NanuCosmin Nicolae StanPeter Corcoran
    • Florin NanuCosmin Nicolae StanPeter Corcoran
    • H04N5/228
    • H04N5/23212H04N5/23219
    • An autofocus method includes acquiring an image of a scene that includes one or more out of focus faces and/or partial faces. The method includes detecting one or more of the out of focus faces and/or partial faces within the digital image by applying one or more sets of classifiers trained on faces that are out of focus. One or more sizes of the one of more respective out of focus faces and/or partial faces is/are determined within the digital image. One or more respective depths is/are determined to the one or more out of focus faces and/or partial faces based on the one or more sizes of the one of more faces and/or partial faces within the digital image. One or more respective focus positions of the lens is/are adjusted to focus approximately at the determined one or more respective depths.
    • 自动聚焦方法包括获取包括一个或多个聚焦面和/或部分面的场景的图像。 该方法包括通过应用在不在焦点的面上训练的一组或多组分类器来检测数字图像内的焦点外面部和/或部分面部中的一个或多个。 在数字图像内确定更多相应的失焦面和/或部分面中的一个的一个或多个尺寸。 基于数字图像中的多个面和/或部分面之一的一个或多个尺寸,对一个或多个失焦面和/或部分面确定一个或多个相应的深度。 调整透镜的一个或多个相应的焦点位置以大致聚焦在所确定的一个或多个相应的深度处。