会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 5. 发明授权
    • Face detecting camera and method
    • 面部检测摄像头和方法
    • US06940545B1
    • 2005-09-06
    • US09514436
    • 2000-02-28
    • Lawrence A. RayHenry Nicponski
    • Lawrence A. RayHenry Nicponski
    • G03B19/02G03B17/24G03B17/48G06K9/00G06T1/00G06T7/00H04N5/225H04N5/907H04N101/00H04N9/04G06K9/36H04N5/228
    • H04N5/23212G06K9/00228G06K9/00234G06K9/00248H04N5/23219H04N5/23222H04N5/235H04N5/772H04N2101/00
    • A method for determining the presence of a face from image data includes a face detection algorithm having two separate algorithmic steps: a first step of prescreening image data with a first component of the algorithm to find one or more face candidate regions of the image based on a comparison between facial shape models and facial probabilities assigned to image pixels within the region; and a second step of operating on the face candidate regions with a second component of the algorithm using a pattern matching technique to examine each face candidate region of the image and thereby confirm a facial presence in the region, whereby the combination of these components provides higher performance in terms of detection levels than either component individually. In a camera implementation, a digital camera includes an algorithm memory for storing an algorithm comprised of the aforementioned first and second components and an electronic processing section for processing the image data together with the algorithm for determining the presence of one or more faces in the scene. Facial data indicating the presence of faces may be used to control, e.g., exposure parameters of the capture of an image, or to produce processed image data that relates, e.g., color balance, to the presence of faces in the image, or the facial data may be stored together with the image data on a storage medium.
    • 一种用于从图像数据确定面部存在的方法包括具有两个单独的算法步骤的面部检测算法:第一步骤,用算法的第一分量对图像数据进行预筛选,以基于以下步骤找到图像的一个或多个面部候选区域: 面部形状模型与分配给该区域内的图像像素的面部概率之间的比较; 以及第二步骤,利用模式匹配技术利用算法的第二分量对面部候选区域进行操作,以检查图像的每个面部候选区域,从而确认该区域中的面部存在,由此这些组件的组合提供更高的 检测水平比任何一个成分单独表现。 在相机实现中,数码相机包括用于存储由前述第一和第二组件组成的算法的算法存储器和用于处理图像数据的电子处理部分以及用于确定场景中一个或多个面部的存在的算法 。 可以使用表示面部存在的面部数据来控制,例如,图像的拍摄的曝光参数,或者产生与例如颜色平衡相关的经处理的图像数据到图像中的面部的面部,或面部 数据可以与图像数据一起存储在存储介质上。
    • 8. 发明申请
    • In-plane rotation invariant object detection in digitized images
    • 数字化图像中的面内旋转不变物体检测
    • US20050105805A1
    • 2005-05-19
    • US10712077
    • 2003-11-13
    • Henry Nicponski
    • Henry Nicponski
    • G06K9/00G06K9/62G06K9/64
    • G06K9/6211G06K9/00248
    • In methods, systems, and computer program products for locating a regularly configured object within a digital image, a plurality of primary rotated integral images of the digital image are computed. Each primary rotated integral image has a different in-plane rotation. A set of secondary rotated integral images are derived from each of the primary rotated integral images. The secondary rotated integral images have further in-plane rotations relative to the respective primary rotated integral image. A window is defined within the digital image and corresponding windows of the rotated integral images. The values of convolution sums of a predetermined set of feature boxes within the window, in each of the rotated integral images are extracted. The dimensionality of the convolution sums is reduced to provide a set of reduced sums. A probability model is applied to the reduced sums to provide a best estimated derotated image of the window.
    • 在用于定位数字图像内的规则配置对象的方法,系统和计算机程序产品中,计算数字图像的多个主旋转积分图像。 每个初级旋转积分图像具有不同的面内旋转。 从一次旋转积分图像的每一个导出一组二次旋转积分图像。 二次旋转积分图像相对于相应的初级旋转积分图像具有进一步的面内旋转。 在数字图像和旋转的积分图像的对应窗口中定义窗口。 提取每个旋转的积分图像中窗口内的预定特征框集合的卷积和的值。 卷积和的维数被减少以提供一组减少的和。 将概率模型应用于减少的和以提供窗口的最佳估计解旋图像。
    • 10. 发明授权
    • In-plane rotation invariant object detection in digitized images
    • 数字化图像中的面内旋转不变物体检测
    • US07274832B2
    • 2007-09-25
    • US10712077
    • 2003-11-13
    • Henry Nicponski
    • Henry Nicponski
    • G06K9/32
    • G06K9/6211G06K9/00248
    • In methods, systems, and computer program products for locating a regularly configured object within a digital image, a plurality of primary rotated integral images of the digital image are computed. Each primary rotated integral image has a different in-plane rotation. A set of secondary rotated integral images are derived from each of the primary rotated integral images. The secondary rotated integral images have further in-plane rotations relative to the respective primary rotated integral image. A window is defined within the digital image and corresponding windows of the rotated integral images. The values of convolution sums of a predetermined set of feature boxes within the window, in each of the rotated integral images are extracted. The dimensionality of the convolution sums is reduced to provide a set of reduced sums. A probability model is applied to the reduced sums to provide a best estimated derotated image of the window.
    • 在用于定位数字图像内的规则配置对象的方法,系统和计算机程序产品中,计算数字图像的多个主旋转积分图像。 每个初级旋转积分图像具有不同的面内旋转。 从一次旋转积分图像的每一个导出一组二次旋转积分图像。 二次旋转积分图像相对于相应的初级旋转积分图像具有进一步的面内旋转。 在数字图像和旋转的积分图像的对应窗口中定义窗口。 提取每个旋转的积分图像中窗口内的预定特征框集合的卷积和的值。 卷积和的维数被减少以提供一组减少的和。 将概率模型应用于减少的和以提供窗口的最佳估计解旋图像。