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    • 44. 发明申请
    • METHOD OF FACIAL LANDMARK DETECTION
    • 方法地名检测方法
    • US20140050358A1
    • 2014-02-20
    • US13997296
    • 2011-03-31
    • Ang LiuYangzhou DuTao WangJianguo LiQiang LiYimin Zhang
    • Ang LiuYangzhou DuTao WangJianguo LiQiang LiYimin Zhang
    • G06K9/00
    • G06K9/00248G06K9/00281G06K9/6209
    • Detecting facial landmarks in a face detected in an image may be performed by first cropping a face rectangle region of the detected face in the image and generating an integral image based at least in part on the face rectangle region. Next, a cascade classifier may be executed for each facial landmark of the face rectangle region to produce one response image for each facial landmark based at least in part on the integral image. A plurality of Active Shape Model (ASM) initializations may be set up. ASM searching may be performed for each of the ASM initializations based at least in part on the response images, each ASM search resulting in a search result having a cost. Finally, a search result of the ASM searches having a lowest cost function may be selected, the selected search result indicating locations of the facial landmarks in the image.
    • 可以通过首先裁剪图像中检测到的面部的面部矩形区域并且至少部分地基于面部矩形区域来生成整体图像来检测在图像中检测到的面部中的面部界标。 接下来,可以对面部矩形区域的每个面部标记执行级联分类器,以至少部分地基于积分图像来为每个面部标记产生一个响应图像。 可以设置多个活动形状模型(ASM)初始化。 可以至少部分地基于响应图像来对每个ASM初始化执行ASM搜索,每个ASM搜索导致搜索结果具有成本。 最后,可以选择具有最低成本函数的ASM搜索的搜索结果,所选择的搜索结果指示图像中的面部地标的位置。
    • 48. 发明申请
    • COMPOSITIONS USEFUL AS ANIMAL LITTER
    • 组合物作为动物实验室有用
    • US20130180459A1
    • 2013-07-18
    • US13444384
    • 2012-04-11
    • Yimin Zhang
    • Yimin Zhang
    • A01K29/00A01K1/015
    • A01K1/0155A01K1/015
    • The invention provides a composition suitable for use as an animal litter comprising a first component having a density less than that of liquid and a second component having a density of at least 5 lb/ft3 (80 mg/cm3) greater than the first component. The invention is based upon the discovery that adding liquid such as urine to a composition having two components with significant differences in density, one of which is less than the density of the liquid, will result in the component with the lesser density floating to the top of the liquid while the component with the greater density will segregate below the component with the lesser density.
    • 本发明提供适合用作动物垫料的组合物,其包含密度小于液体的密度的第一组分和具有比第一组分大至少5lb / ft 3(80mg / cm 3)的密度的第二组分。 本发明基于以下发现:将诸如尿液的液体添加到具有两个组分的组合物中,其中一个组分具有显着的密度差异(其中一个小于液体的密度)将导致具有较小密度的组分漂浮到顶部 的液体,而具有较大密度的组分将以较小的密度分离在组分之下。
    • 49. 发明申请
    • TECHNIQUES TO DETECT VIDEO COPIES
    • 检测视频复制的技术
    • US20120131010A1
    • 2012-05-24
    • US13379645
    • 2009-06-26
    • Tao WangJianguo LiWenlong LiYimin Zhang
    • Tao WangJianguo LiWenlong LiYimin Zhang
    • G06F17/30
    • G06K9/00758G06F16/7864G06K9/00335
    • Some embodiments include a video copy detection approach based on speeded up robust features (SURF) trajectory building, local sensitive hash (LSH) indexing, and spatial-temporal-scale registration. First, interesting points' trajectories are extracted by SURF. Next, an efficient voting based spatial-temporal-scale registration approach is applied to estimate the optimal transformation parameters (shift and scale) and achieve the final video copy detection results by propagations of video segments in both spatial-temporal and scale directions. To speed up the detection speed, local sensitive hash (LSH) indexing is used to index trajectories for fast queries of candidate trajectories.
    • 一些实施例包括基于加速鲁棒特征(SURF)轨迹建立,局部敏感散列(LSH)索引和空间 - 时间尺度注册的视频拷贝检测方法。 首先,SURF提取了有趣的点的轨迹。 接下来,应用有效的基于投票的空间 - 时间尺度注册方法来估计最佳变换参数(移位和缩放),并通过视频片段在空间 - 时间和尺度方向上的传播来实现最终的视频拷贝检测结果。 为了加快检测速度,本地敏感散列(LSH)索引用于索引候选轨迹快速查询的轨迹。