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    IDENTIFICATION SYSTEM AND METHOD UTILIZING IRIS IMAGING
    2.
    发明申请
    IDENTIFICATION SYSTEM AND METHOD UTILIZING IRIS IMAGING 审中-公开
    识别系统和利用IRIS成像的方法

    公开(公告)号：US20090060286A1

    公开(公告)日：2009-03-05

    申请号：US11849541

    申请日：2007-09-04

    申请人： Frederick Wilson Wheeler ,  Ambalangoda Gurunnanselage Amitha Perera ,  Gil Abramovich

    发明人： Frederick Wilson Wheeler ,  Ambalangoda Gurunnanselage Amitha Perera ,  Gil Abramovich

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00604

    摘要： A biometric identification system and method are provided. The system includes an image capture mechanism for capturing multiple images of a person's iris, a registration component for registering a portion of each image attributable to the iris, and a super-resolution processing component for producing a higher resolution image of the iris. The method includes capturing multiple images of a person's iris, registering a portion of each image attributable to the iris, and applying super-resolution processing to the images to produce a higher-resolution image of the iris.

    摘要翻译： 提供了生物识别系统和方法。 该系统包括用于捕获人的虹膜的多个图像的图像捕获机构，用于记录归因于虹膜的每个图像的一部分的登记部件，以及用于产生该虹膜的较高分辨率图像的超分辨率处理部件。 该方法包括捕获人物虹膜的多个图像，记录归因于虹膜的每个图像的一部分，以及对图像应用超分辨率处理以产生虹膜的较高分辨率图像。

    IRIS IMAGING AND IRIS-BASED IDENTIFICATION
    3.
    发明申请
    IRIS IMAGING AND IRIS-BASED IDENTIFICATION 审中-公开
    IRIS成像和基于IRIS的识别

    公开(公告)号：US20090245594A1

    公开(公告)日：2009-10-01

    申请号：US12058969

    申请日：2008-03-31

    申请人： Gil Abramovich ,  Ambalangoda Gurunnanselage Amitha Perera ,  Robert William Tait ,  Frederick Wilson Wheeler

    发明人： Gil Abramovich ,  Ambalangoda Gurunnanselage Amitha Perera ,  Robert William Tait ,  Frederick Wilson Wheeler

    IPC分类号： G06K9/00

    CPC分类号： G06K9/2018 ,  G06K9/00604

    摘要： An iris of an individual is imaged while illuminated with electromagnetic radiation having an illumination spectrum that is selected based on a color of the iris. The illumination spectrum/spectra is/are selected so that the resulting image will have a sufficient amount of detail of the iris as required for the application, such as identification of the individual. Alternatively, the iris can be imaged multiple times while illuminated by electromagnetic radiation of one of multiple different illumination spectra, and the best image or a combination of the images can be used for the application.

    摘要翻译： 个体的虹膜在用具有基于虹膜的颜色选择的照明光谱的电磁辐射照射时成像。 选择照明光谱/光谱，使得所得到的图像将具有针对应用所需的足够量的虹膜细节，例如个体的识别。 或者，当通过多个不同照明光谱之一的电磁辐射照明时，虹膜可以成像多次，并且可以将最佳图像或图像的组合用于应用。

    Super-resolving moving vehicles in an unregistered set of video frames
    4.
    发明授权
    Super-resolving moving vehicles in an unregistered set of video frames 有权
    在未注册的一组视频帧中超分辨移动车辆

    公开(公告)号：US08290212B2

    公开(公告)日：2012-10-16

    申请号：US12219225

    申请日：2008-07-17

    申请人： Frederick Wilson Wheeler ,  Anthony James Hoogs

    发明人： Frederick Wilson Wheeler ,  Anthony James Hoogs

    IPC分类号： G06K9/00

    CPC分类号： G06T3/4053 ,  G06K9/0063 ,  G06T7/246 ,  G06T2207/10016 ,  G06T2207/30236

    摘要： A method is provided for accurately determining the registration for a moving vehicle over a number of frames so that the vehicle can be super-resolved. Instead of causing artifacts in a super-resolved image, the moving vehicle can be specifically registered and super-resolved individually. This method is very accurate, as it uses a mathematical model that captures motion with a minimal number of parameters and uses all available image information to solve for those parameters. Methods are provided that implement the vehicle registration algorithm and super-resolve moving vehicles using the resulting vehicle registration. One advantage of this system is that better images of moving vehicles can be created without requiring costly new aerial surveillance equipment.

    摘要翻译： 提供了一种用于在多个帧上精确地确定移动车辆的登记的方法，使得车辆能够被超分辨。 代替在超分辨率图像中引起人为因素，可以将移动的车辆具体地进行注册和超分辨。 这种方法非常准确，因为它使用数学模型，以最少数量的参数捕获运动，并使用所有可用的图像信息来解决这些参数。 提供实施车辆登记算法并使用所得到的车辆登记来超移动车辆的方法。 该系统的一个优点是可以创建更好的移动车辆图像，而不需要昂贵的新型空中监视设备。

    Apparatus and method for contactless high resolution handprint capture
    5.
    发明授权
    Apparatus and method for contactless high resolution handprint capture 有权
    用于非接触式高分辨率手印捕获的装置和方法

    公开(公告)号：US08971588B2

    公开(公告)日：2015-03-03

    申请号：US13075694

    申请日：2011-03-30

    申请人： Gil Abramovich ,  Kevin George Harding ,  Joseph Czechowski, III ,  Frederick Wilson Wheeler

    发明人： Gil Abramovich ,  Kevin George Harding ,  Joseph Czechowski, III ,  Frederick Wilson Wheeler

    IPC分类号： G06K9/00 ,  G02B5/30

    CPC分类号： G06K9/00033 ,  G02B5/3025 ,  G06K9/00026

    摘要： A system and method for contactless handprint capture is disclosed that includes an image capture device to capture whole handprint images of a subject hand at each of a plurality of different focal distances, with the image capture device including an imaging camera and an electro-optics arrangement having a plurality of light modulating elements and polarization sensitive optical elements having differing optical path lengths based on polarization states. A control system is coupled to the image capture device to cause the device to capture the handprint images at each of the different focal distances, with each handprint image having a depth-of-focus that overlaps with a depth-of-focus of handprint images at adjacent focal distances such that redundant handprint image data is captured. The control system registers each handprint image with positional data and creates a composite handprint image from the handprint images captured at the different focal distances.

    摘要翻译： 公开了一种用于非接触式手印捕获的系统和方法，其包括：图像捕获装置，用于在多个不同焦距的每一个处拍摄主体手的整个手印图像，所述图像捕获装置包括成像相机和电光装置 具有多个光调制元件和基于极化状态具有不同光程长度的偏振敏感光学元件。 控制系统耦合到图像捕获设备，以使设备在每个不同焦距下捕获手印图像，每个手印图像具有与手印图像的焦点深度重叠的焦点深度 在相邻焦距处，使得捕获冗余的手印图像数据。 控制系统使用位置数据登记每个手印图像，并且从在不同焦距处捕获的手印图像创建复合手印图像。

    Optimal subspaces for face recognition
    6.
    发明授权
    Optimal subspaces for face recognition 有权
    面部识别的最佳子空间

    公开(公告)号：US08498454B2

    公开(公告)日：2013-07-30

    申请号：US12627039

    申请日：2009-11-30

    申请人： Jilin Tu ,  Frederick Wilson Wheeler ,  Peter Henry Tu ,  Xiaoming Liu ,  Yan Tong

    发明人： Jilin Tu ,  Frederick Wilson Wheeler ,  Peter Henry Tu ,  Xiaoming Liu ,  Yan Tong

    IPC分类号： G06K9/00

    CPC分类号： G06K9/6234 ,  G06K9/00288 ,  G06K9/6215

    摘要： A technique for optimizing object recognition is disclosed. The technique includes receiving at least one image of an object and at least one reference image. The technique further includes identifying at least one performance metric corresponding to an object recognition task. The identified performance metric is optimized to generate the corresponding optimized performance metric by determining an optimal subspace based on a determined objective function corresponding to the object recognition task and a difference between the received image and the corresponding reference image. Subsequently, the technique includes comparing the received image with the reference image based on the optimized performance metric for performing the object recognition task.

    摘要翻译： 公开了一种用于优化对象识别的技术。 该技术包括接收对象和至少一个参考图像的至少一个图像。 该技术还包括识别对应于对象识别任务的至少一个性能量度。 通过基于与对象识别任务相对应的确定的目标函数和接收到的图像与对应的参考图像之间的差异来确定最佳子空间来优化识别的性能度量以产生相应的优化性能度量。 随后，该技术包括基于用于执行对象识别任务的优化性能度量来比较接收到的图像与参考图像。

    OPTIMAL GRADIENT PURSUIT FOR IMAGE ALIGNMENT
    7.
    发明申请
    OPTIMAL GRADIENT PURSUIT FOR IMAGE ALIGNMENT 有权
    用于图像对齐的最佳梯度图像

    公开(公告)号：US20120237117A1

    公开(公告)日：2012-09-20

    申请号：US13052097

    申请日：2011-03-20

    申请人： Xiaoming Liu ,  Frederick Wilson Wheeler ,  Peter Henry Tu ,  Jilin Tu

    发明人： Xiaoming Liu ,  Frederick Wilson Wheeler ,  Peter Henry Tu ,  Jilin Tu

    IPC分类号： G06K9/46 ,  G06K9/48 ,  G06K9/62

    CPC分类号： G06K9/3241 ,  G06K9/00228

    摘要： A method for image alignment is disclosed. In one embodiment, the method includes acquiring a facial image of a person and using a discriminative face alignment model to fit a generic facial mesh to the facial image to facilitate locating of facial features. The discriminative face alignment model may include a generative shape model component and a discriminative appearance model component. Further, the discriminative appearance model component may have been trained to estimate a score function that minimizes the angle between a gradient direction and a vector pointing toward a ground-truth shape parameter. Additional methods, systems, and articles of manufacture are also disclosed.

    摘要翻译： 公开了一种用于图像对准的方法。 在一个实施例中，该方法包括获取人的面部图像并使用区别性面部对准模型来将面部图像拟合为面部图像，以便于面部特征的定位。 鉴别面部对齐模型可以包括生成形状模型组件和鉴别外观模型组件。 此外，鉴别外观模型组件可能已经被训练以估计最小化梯度方向和指向地面真实形状参数的向量之间的角度的得分函数。 还公开了附加的方法，系统和制品。

    System and method for automatic landmark labeling with minimal supervision
    9.
    发明授权
    System and method for automatic landmark labeling with minimal supervision 有权
    最小监督的自动地标标签系统和方法

    公开(公告)号：US08442330B2

    公开(公告)日：2013-05-14

    申请号：US12533066

    申请日：2009-07-31

    申请人： Yan Tong ,  Xiaoming Liu ,  Jilin Tu ,  Peter Henry Tu ,  Frederick Wilson Wheeler

    发明人： Yan Tong ,  Xiaoming Liu ,  Jilin Tu ,  Peter Henry Tu ,  Frederick Wilson Wheeler

    IPC分类号： G06K9/62 ,  G06K9/74

    CPC分类号： G06K9/66 ,  G06K9/00228 ,  G06T7/33 ,  G06T7/35 ,  G06T2207/20121 ,  G06T2207/30201

    摘要： A system and method for estimating a set of landmarks for a large image ensemble employs only a small number of manually labeled images from the ensemble and avoids labor-intensive and error-prone object detection, tracking and alignment learning task limitations associated with manual image labeling techniques. A semi-supervised least squares congealing approach is employed to minimize an objective function defined on both labeled and unlabeled images. A shape model is learned on-line to constrain the landmark configuration. A partitioning strategy allows coarse-to-fine landmark estimation.

    摘要翻译： 用于估计大图像集合的一组地标的系统和方法仅使用来自集合的少量手动标记的图像，并且避免与手动图像标签相关联的劳动密集型和易出错的对象检测，跟踪和对准学习任务限制 技术 采用半监督的最小二乘法凝结方法来最小化在标记和未标记图像上定义的目标函数。 形状模型在线学习以约束地标配置。 分区策略允许粗略到精细的地标估计。