IMPROVING FACE RECOGNITION PERFORMANCE USING ADDITIONAL IMAGE FEATURES
    1.
    发明申请
    IMPROVING FACE RECOGNITION PERFORMANCE USING ADDITIONAL IMAGE FEATURES 审中-公开
    使用附加图像特征提高脸部识别性能

    公开(公告)号:WO2011039040A1

    公开(公告)日:2011-04-07

    申请号:PCT/EP2010/063293

    申请日:2010-09-10

    CPC classification number: G06K9/00295 G06K9/00248 G06K9/00261 G06K9/4604

    Abstract: A technique is provided for recognizing faces in an image stream using a digital image acquisition device. A first acquired image is received from an image stream. A first face region is detected within the first acquired image having a given size and a respective location within the first acquired image. First faceprint data uniquely identifying the first face region are extracted along with first peripheral region data around the first face region. The first faceprint and peripheral region data are stored, and the first peripheral region data are associated with the first face region. The first face region is tracked until a face lock is lost. A second face region is detected within a second acquired image from the image stream. Second peripheral region data around the second face region are extracted. The second face region is identified upon matching the first and second peripheral region data.

    Abstract translation: 提供了使用数字图像采集装置识别图像流中的面部的技术。 从图像流接收第一获取的图像。 在具有给定尺寸的第一获取图像内检测到第一面部区域和在第一获取图像内的相应位置。 与第一面部区域周围的第一周围区域数据一起提取唯一地识别第一面部区域的第一面部印刷数据。 存储第一面印和外围区域数据,并且第一周边区域数据与第一面部区域相关联。 跟踪第一个脸部区域,直到脸部锁定丢失。 在来自图像流的第二获取图像内检测第二面部区域。 提取围绕第二面部区域的第二周边区域数据。 在匹配第一和第二外围区域数据时识别第二面部区域。

    FOREGROUND/BACKGROUND SEGMENTATION IN DIGITAL IMAGES
    2.
    发明申请
    FOREGROUND/BACKGROUND SEGMENTATION IN DIGITAL IMAGES 审中-公开
    数字图像中的前缀/背景分段

    公开(公告)号:WO2007093199A3

    公开(公告)日:2008-03-27

    申请号:PCT/EP2006008229

    申请日:2006-08-21

    Abstract: An implementation efficient method of distinguishing between foreground and background regions of a digital image of a scene comprises capturing two images of nominally the same scene and storing the captured images in DCT-coded format, the first image being taken with the foreground more in focus than the background and the second image being taken with the background more in focus than the foreground. Regions of the first image are assigned as foreground or background according to whether the sum of selected higher order DCT coefficients decreases or increases for the equivalent regions of the second image.

    Abstract translation: 用于区分场景的数字图像的前景和背景区域的实现有效的方法包括捕获名义上相同的场景的两个图像并以DCT编码的格式存储所捕获的图像,第一图像以前景更多地聚焦在比 背景和第二个图像被采取与背景更多的焦点比前景。 根据所选择的较高阶DCT系数的和是否相对于第二图像的等效区域减小或增加,将第一图像的区域分配为前景或背景。

    FOREGROUND/BACKGROUND SEGMENTATION IN DIGITAL IMAGES
    4.
    发明申请
    FOREGROUND/BACKGROUND SEGMENTATION IN DIGITAL IMAGES 审中-公开
    数字图像中的前缀/背景分段

    公开(公告)号:WO2007093199A2

    公开(公告)日:2007-08-23

    申请号:PCT/EP2006/008229

    申请日:2006-08-21

    Abstract: An implementation efficient method of distinguishing between foreground and background regions of a digital image of a scene comprises capturing two images of nominally the same scene and storing the captured images in DCT-coded format, the first image being taken with the foreground more in focus than the background and the second image being taken with the background more in focus than the foreground. Regions of the first image are assigned as foreground or background according to whether the sum of selected higher order DCT coefficients decreases or increases for the equivalent regions of the second image.

    Abstract translation: 用于区分场景的数字图像的前景和背景区域的实现有效的方法包括捕获名义上相同的场景的两个图像并以DCT编码的格式存储所捕获的图像,第一图像以前景更多地聚焦在比 背景和第二个图像被采取与背景更多的焦点比前景。 根据所选择的较高阶DCT系数的和是否相对于第二图像的等效区域减小或增加,将第一图像的区域分配为前景或背景。

    OBJECT DETECTION AND RENDERING FOR WIDE FIELD OF VIEW (WFOV) IMAGE ACQUISITION SYSTEMS
    6.
    发明申请
    OBJECT DETECTION AND RENDERING FOR WIDE FIELD OF VIEW (WFOV) IMAGE ACQUISITION SYSTEMS 审中-公开
    用于宽视场(WFOV)图像获取系统的对象检测和渲染

    公开(公告)号:WO2011107448A2

    公开(公告)日:2011-09-09

    申请号:PCT/EP2011/052970

    申请日:2011-03-01

    Abstract: An image acquisition device having a wide field of view includes a lens and image sensor configured to capture an original wide field of view (WFoV) image with a field of view of more than 90°. The device has an object detection engine that includes one or more cascades of object classifiers, e.g., face classifiers. A WFoV correction engine may apply rectilinear and/or cylindrical projections to pixels of the WFoV image, and/or non-linear, rectilinear and/or cylindrical lens elements or lens portions serve to prevent and/or correct distortion within the original WFoV image. One or more objects located within the original and/or distortion-corrected WFoV image is/are detectable by the object detection engine upon application of the one or more cascades of object classifiers.

    Abstract translation: 具有宽视野的图像采集装置包括:镜头和图像传感器,被配置为捕获具有大于90°的视场的原始宽视野(WFoV)图像。 该装置具有对象检测引擎,其包括一个或多个对象分类器级联,例如面部分类器。 WFoV校正引擎可以对WFoV图像的像素施加直线和/或圆柱形投影,和/或非线性直线和/或柱面透镜元件或透镜部分用于防止和/或校正原始WFoV图像内的失真。 位于原始和/或失真校正的WFoV图像内的一个或多个对象在应用一个或多个对象分类器级联时可由对象检测引擎检测。

    FACE RECOGNITION USING FACE DETECTION CLASSIFIER DATA
    8.
    发明申请
    FACE RECOGNITION USING FACE DETECTION CLASSIFIER DATA 审中-公开
    使用脸部检测分类器数据的脸部识别

    公开(公告)号:WO2010063463A3

    公开(公告)日:2010-07-29

    申请号:PCT/EP2009008603

    申请日:2009-12-02

    CPC classification number: G06K9/00288 G06K9/00228

    Abstract: A face recognition technique includes using a multi-classifier face detector to determine above a threshold probability that region of an image includes a face. Further probability values are determined for a set of classifiers for the region to provide a recognition profile. Face detection and recognition probabilities are determined for at least one classifier of the set. The recognition profile is compared against a predetermined recognition profile to determine a degree of match.

    Abstract translation: 面部识别技术包括使用多分类器面部检测器来确定图像的区域包括脸部的阈值概率以上。 为区域的一组分类器确定进一步的概率值以提供识别轮廓。 为集合中的至少一个分类器确定面部检测和识别概率。 将识别轮廓与预定的识别轮廓进行比较以确定匹配度。

    FACE RECOGNITION USING FACE TRACKER CLASSIFIER DATA
    9.
    发明申请
    FACE RECOGNITION USING FACE TRACKER CLASSIFIER DATA 审中-公开
    使用面部跟踪器分类器数据的脸部识别

    公开(公告)号:WO2010063463A2

    公开(公告)日:2010-06-10

    申请号:PCT/EP2009/008603

    申请日:2009-12-02

    CPC classification number: G06K9/00288 G06K9/00228

    Abstract: A face recognition technique includes using a multi-classifier face detector to determine above a threshold probability that region of an image includes a face. Further probability values are determined for a set of classifiers for the region to provide a recognition profile. Face detection and recognition probabilities are determined for at least one classifier of the set. The recognition profile is compared against a predetermined recognition profile to determine a degree of match.

    Abstract translation: 面部识别技术包括使用多分类器面部检测器来确定图像的区域包括脸部的阈值概率。 为区域的一组分类器确定进一步的概率值以提供识别轮廓。 为集合中的至少一个分类器确定面部检测和识别概率。 将识别轮廓与预定的识别轮廓进行比较以确定匹配度。

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