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    • 14. 发明申请
    • SYSTEM AND METHOD FOR RECONSTRUCTING RESTORED FACIAL IMAGES FROM VIDEO
    • 用于从视频重构恢复的面部图像的系统和方法
    • US20080175509A1
    • 2008-07-24
    • US11836316
    • 2007-08-09
    • Frederick Wilson WheelerXiaoming LiuPeter Henry Tu
    • Frederick Wilson WheelerXiaoming LiuPeter Henry Tu
    • G06K9/40
    • G06K9/621G06K9/00281G06T7/33
    • A system and method for performing a facial image restoration is described. The system includes an active appearance model component for fitting an active appearance model to a facial image found in each of a plurality of video frames, a registration component for registering each pixel of each facial image with comparable pixels of each of the other facial images, and a restoration component for producing a restored facial image from the facial images. The method includes fitting an active appearance model to a facial image found in each of a plurality of video frames, registering each pixel of each said facial image with comparable pixels of each of the other facial images, and producing a restored facial image from the facial images.
    • 描述用于执行面部图像恢复的系统和方法。 该系统包括用于将活动外观模型拟合到在多个视频帧中的每一个中发现的面部图像的活动外观模型部件,用于将每个面部图像的每个像素与每个其他面部图像的可比较像素对准的注册部件, 以及恢复部件,用于从面部图像产生恢复的面部图像。 该方法包括将活动外观模型拟合到在多个视频帧中的每一个中发现的面部图像,将每个所述面部图像的每个像素与每个其他面部图像的可比较像素对准,并从面部产生恢复的面部图像 图片。
    • 16. 发明授权
    • Super-resolving moving vehicles in an unregistered set of video frames
    • 在未注册的一组视频帧中超分辨移动车辆
    • US08290212B2
    • 2012-10-16
    • US12219225
    • 2008-07-17
    • Frederick Wilson WheelerAnthony James Hoogs
    • Frederick Wilson WheelerAnthony James Hoogs
    • G06K9/00
    • G06T3/4053G06K9/0063G06T7/246G06T2207/10016G06T2207/30236
    • 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.
    • 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。
    • 17. 发明申请
    • APPARATUS AND METHOD FOR CONTACTLESS HIGH RESOLUTION HANDPRINT CAPTURE
    • 用于高分辨率分辨率捕获的装置和方法
    • US20120250947A1
    • 2012-10-04
    • US13075694
    • 2011-03-30
    • Gil AbramovichKevin George HardingJoseph Czechowski, IIIFrederick Wilson Wheeler
    • Gil AbramovichKevin George HardingJoseph Czechowski, IIIFrederick Wilson Wheeler
    • G06K9/00
    • G06K9/00033G02B5/3025G06K9/00026
    • 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.
    • 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。
    • 18. 发明授权
    • Generic face alignment via boosting
    • 通过升压进行通用面对齐
    • US08155399B2
    • 2012-04-10
    • US12056051
    • 2008-03-26
    • Xiaoming LiuPeter Henry TuFrederick Wilson Wheeler
    • Xiaoming LiuPeter Henry TuFrederick Wilson Wheeler
    • G06K9/62
    • G06K9/00241G06K9/621
    • There is provided a discriminative framework for image alignment. Image alignment is generally the process of moving and deforming a template to minimize the distance between the template and an image. There are essentially three elements to image alignment, namely template representation, distance metric, and optimization method. For template representation, given a face dataset with ground truth landmarks, a boosting-based classifier is trained that is able to learn the decision boundary between two classes—the warped images from ground truth landmarks (e.g., positive class) and those from perturbed landmarks (e.g., negative class). A set of trained weak classifiers based on Haar-like rectangular features determines a boosted appearance model. A distance metric is a score from the strong classifier, and image alignment is the process of optimizing (e.g., maximizing) the classification score. On the generic face alignment problem, the proposed framework greatly improves the robustness, accuracy, and efficiency of alignment.
    • 提供了一种用于图像对齐的辨别框架。 图像对齐通常是移动和变形模板的过程,以最小化模板和图像之间的距离。 图像对齐基本上有三个要素,即模板表示,距离度量和优化方法。 对于模板表示,给定一个具有地面真实地标的面部数据集,训练有素的分类器能够学习两个类之间的决策边界 - 来自地面真实地标(例如,积极的类)和来自扰动地标的变形图像 (例如负面班)。 基于哈尔式矩形特征的一组经过训练的弱分类器决定了外观模型的提升。 距离度量是来自强分类器的分数,图像对准是优化(例如,最大化)分类分数的过程。 在通用面对齐问题上,提出的框架大大提高了对齐的鲁棒性,准确性和效率。