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    • 6. 发明授权
    • Apparatus and method for contactless high resolution handprint capture
    • 用于非接触式高分辨率手印捕获的装置和方法
    • US08971588B2
    • 2015-03-03
    • US13075694
    • 2011-03-30
    • Gil AbramovichKevin George HardingJoseph Czechowski, IIIFrederick Wilson Wheeler
    • Gil AbramovichKevin George HardingJoseph Czechowski, IIIFrederick Wilson Wheeler
    • G06K9/00G02B5/30
    • 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。
    • 7. 发明授权
    • Optimal subspaces for face recognition
    • 面部识别的最佳子空间
    • US08498454B2
    • 2013-07-30
    • US12627039
    • 2009-11-30
    • Jilin TuFrederick Wilson WheelerPeter Henry TuXiaoming LiuYan Tong
    • Jilin TuFrederick Wilson WheelerPeter Henry TuXiaoming LiuYan Tong
    • G06K9/00
    • G06K9/6234G06K9/00288G06K9/6215
    • 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.
    • 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。