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    • 25. 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。
    • 30. 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。