会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 2. 发明授权
    • Accelerating the hough transform
    • 加速霍夫变形
    • US08150207B2
    • 2012-04-03
    • US11967701
    • 2007-12-31
    • Wenlong LiTao WangYimin Zhang
    • Wenlong LiTao WangYimin Zhang
    • G06K9/36G01C22/00
    • G06K9/4633
    • The present disclosure describes a method and apparatus for accelerating computation of a Hough transform of a plurality of digital images of known width and height dimensions. The method includes determining a plurality of Hough values for each pixel location based on the width and height dimensions. The method further includes generating a lookup table comprising an array of Hough values corresponding to one or more Hough parameters of at least one geometric shape in at least one digital image. Each element in the array of Hough values may be based on a value of one or more Hough parameters and at least one of a height value or a width value. The method may include receiving a plurality of digital images having known width and height dimensions. The method may further include selecting, for at least one nonzero pixel of at least one of the plurality of digital images, the Hough values from the lookup table. Of course, many alternatives, variations and modifications are possible without departing from this embodiment.
    • 本公开描述了一种用于加速已知宽度和高度尺寸的多个数字图像的霍夫变换的计算的方法和装置。 该方法包括基于宽度和高度尺寸为每个像素位置确定多个霍夫值。 该方法还包括生成查找表,其包括对应于至少一个数字图像中至少一个几何形状的一个或多个霍夫参数的霍夫值阵列。 Hough值阵列中的每个元素可以基于一个或多个霍夫参数的值和高度值或宽度值中的至少一个。 该方法可以包括接收具有已知宽度和高度尺寸的多个数字图像。 所述方法还可以包括针对所述多个数字图像中的至少一个数字图像的至少一个非零像素,从所述查找表中选择所述霍夫值。 当然,在不脱离本实施例的情况下,可以进行许多替代,变化和修改。
    • 3. 发明申请
    • ACCELERATING THE HOUGH TRANSFORM
    • 加速变革
    • US20090169130A1
    • 2009-07-02
    • US11967701
    • 2007-12-31
    • Wenlong LiTao WangYimin Zhang
    • Wenlong LiTao WangYimin Zhang
    • G06K9/36
    • G06K9/4633
    • The present disclosure describes a method and apparatus for accelerating computation of a Hough transform of a plurality of digital images of known width and height dimensions. The method includes determining a plurality of Hough values for each pixel location based on the width and height dimensions. The method further includes generating a lookup table comprising an array of Hough values corresponding to one or more Hough parameters of at least one geometric shape in at least one digital image. Each element in the array of Hough values may be based on a value of one or more Hough parameters and at least one of a height value or a width value. The method may include receiving a plurality of digital images having known width and height dimensions. The method may further include selecting, for at least one nonzero pixel of at least one of the plurality of digital images, the Hough values from the lookup table. Of course, many alternatives, variations and modifications are possible without departing from this embodiment.
    • 本公开描述了一种用于加速已知宽度和高度尺寸的多个数字图像的霍夫变换的计算的方法和装置。 该方法包括基于宽度和高度尺寸为每个像素位置确定多个霍夫值。 该方法还包括生成查找表,其包括对应于至少一个数字图像中至少一个几何形状的一个或多个霍夫参数的霍夫值阵列。 Hough值阵列中的每个元素可以基于一个或多个霍夫参数的值和高度值或宽度值中的至少一个。 该方法可以包括接收具有已知宽度和高度尺寸的多个数字图像。 所述方法还可以包括针对所述多个数字图像中的至少一个数字图像的至少一个非零像素,从所述查找表中选择所述霍夫值。 当然,在不脱离本实施例的情况下,可以进行许多替代,变化和修改。
    • 8. 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。