Descriptor storage and searches of k-dimensional trees
    2.
    发明授权
    Descriptor storage and searches of k-dimensional trees 失效
    描述符存储和搜索k维树

    公开(公告)号:US08706711B2

    公开(公告)日:2014-04-22

    申请号:US13340024

    申请日:2011-12-29

    IPC分类号: G06F17/30

    CPC分类号: G06K9/6282 G06K9/6228

    摘要: Various arrangements for using a k-dimensional tree for a search are presented. A plurality of descriptors may be stored. Each of the plurality of descriptors stored is linked with a first number of stored dimensions. The search may be performed using the k-dimensional tree for one or more query descriptors that at least approximately match one or more of the plurality of descriptors linked with the first number of stored dimensions. The k-dimensional tree may be built using the plurality of descriptors wherein each of the plurality of descriptors is linked with a second number of dimensions when the k-dimensional tree is built. The second number of dimensions may be a greater number of dimensions than the first number of stored dimensions.

    摘要翻译: 提出了使用k维树进行搜索的各种布置。 可以存储多个描述符。 所存储的多个描述符中的每一个与存储维度的第一数量相关联。 可以使用k维树进行搜索,所述查询描述符至少近似地匹配与第一数量的存储维度相链接的多个描述符中的一个或多个。 可以使用多个描述符构建k维树,其中当构建k维树时,多个描述符中的每个描述符与第二数量的维度相关联。 第二数量的尺寸可以是比第一数量的存储尺寸更大的尺寸数量。

    Improving performance of image recognition algorithms by pruning features, image scaling, and spatially constrained feature matching
    3.
    发明授权
    Improving performance of image recognition algorithms by pruning features, image scaling, and spatially constrained feature matching 有权
    通过修剪特征,图像缩放和空间约束的特征匹配来提高图像识别算法的性能

    公开(公告)号:US08705876B2

    公开(公告)日:2014-04-22

    申请号:US12959056

    申请日:2010-12-02

    IPC分类号: G06K9/62

    CPC分类号: G06K9/6211

    摘要: A method for feature matching in image recognition is provided. First, image scaling may be based on a feature distribution across scale spaces for an image to estimate image size/resolution, where peak(s) in the keypoint distribution at different scales is used to track a dominant image scale and roughly track object sizes. Second, instead of using all detected features in an image for feature matching, keypoints may be pruned based on cluster density and/or the scale level in which the keypoints are detected. Keypoints falling within high-density clusters may be preferred over features falling within lower density clusters for purposes of feature matching. Third, inlier-to-outlier keypoint ratios are increased by spatially constraining keypoints into clusters in order to reduce or avoid geometric consistency checking for the image.

    摘要翻译: 提供了图像识别中特征匹配的方法。 首先,图像缩放可以基于用于图像的尺度空间上的特征分布来估计图像尺寸/分辨率,其中使用不同尺度的关键点分布中的峰值来跟踪主要图像尺度并粗略跟踪对象尺寸。 其次,代替使用图像中的所有检测到的特征进行特征匹配,可以基于检测到关键点的聚类密度和/或比例级别来修剪关键点。 落入高密度群集中的关键点可能优于落入低密度群集中的特征,用于特征匹配。 第三,通过将关键点空间约束成簇,从而增加关键点比率,以减少或避免图像的几何一致性检查。

    Scale space normalization technique for improved feature detection in uniform and non-uniform illumination changes
    5.
    发明授权
    Scale space normalization technique for improved feature detection in uniform and non-uniform illumination changes 有权
    尺度空间归一化技术,用于改进均匀和不均匀照明变化中的特征检测

    公开(公告)号:US08582889B2

    公开(公告)日:2013-11-12

    申请号:US12986607

    申请日:2011-01-07

    IPC分类号: G06K9/00

    CPC分类号: G06K9/4671

    摘要: A normalization process is implemented at a difference of scale space to completely or substantially reduce the effect that illumination changes has on feature/keypoint detection in an image. An image may be processed by progressively blurring the image using a smoothening function to generate a smoothened scale space for the image. A difference of scale space may be generated by taking the difference between two different smoothened versions of the image. A normalized difference of scale space image may be generated by dividing the difference of scale space image by a third smoothened version of the image, where the third smoothened version of the image that is as smooth or smoother than the smoothest of the two different smoothened versions of the image. The normalized difference of scale space image may then be used to detect one or more features/keypoints for the image.

    摘要翻译: 在尺度空间的差异上实现归一化过程以完全或基本上减少照明变化对图像中的特征/关键点检测的影响。 可以通过使用平滑函数逐渐模糊图像来生成图像来生成图像,以生成平滑的图像尺度空间。 可以通过获取图像的两个不同平滑版本之间的差异来产生比例空间的差异。 尺度空间图像的归一化差异可以通过将尺度空间图像的差除以图像的第三平滑版本而生成,其中图像的第三平滑版本比两个不同平滑版本中最平滑的平滑或平滑 的图像。 尺度空间图像的归一化差异可以用于检测图像的一个或多个特征/关键点。

    Wireless device communication with multiple peripherals
    6.
    发明授权
    Wireless device communication with multiple peripherals 有权
    无线设备与多个外围设备通信

    公开(公告)号:US08527016B2

    公开(公告)日:2013-09-03

    申请号:US11740681

    申请日:2007-04-26

    摘要: Low power wireless communication techniques may be employed in devices that communicate via a wireless body area network, a wireless personal area network, or some other type of wireless communication link. In some implementations the devices may communicate via one or more impulse-based ultra-wideband channels. Inter-pulse duty cycling may be employed to reduce the power consumption of a device. Power may be provided for the transmissions and receptions of pulses by charging and discharging a capacitive element according to the inter-pulse duty cycling. Sub-packet data may be transmitted and received via a common frequency band. A cell phone may multicast to two or more peripherals via wireless communication links.

    摘要翻译: 低功率无线通信技术可以用于经由无线体区域网络,无线个人区域网络或某种其他类型的无线通信链路进行通信的设备中。 在一些实现中,设备可以经由一个或多个基于脉冲的超宽带信道进行通信。 可以采用脉冲间占空比来降低器件的功耗。 可以通过根据脉冲间负载循环对电容元件进行充电和放电来为发射和接收脉冲提供功率。 可以经由公共频带发送和接收子分组数据。 蜂窝电话可以通过无线通信链路多播到两个或多个外围设备。

    VIRTUAL RULER
    7.
    发明申请
    VIRTUAL RULER 审中-公开
    虚拟规则

    公开(公告)号:US20130201210A1

    公开(公告)日:2013-08-08

    申请号:US13563330

    申请日:2012-07-31

    IPC分类号: G06T19/00

    CPC分类号: G06T19/006 G01B11/25

    摘要: In some embodiments, first information indicative of an image of a scene is accessed. One or more reference features are detected, the reference features being associated with a reference object in the image. A transformation between an image space and a real-world space is determined based on the first information. Second information indicative of input from a user is accessed, the second information identifying an image-space distance in the image space corresponding to a real-world distance of interest in the real-world space. The real-world distance of interest is then estimated based on the second information and the determined transformation.

    摘要翻译: 在一些实施例中,访问指示场景的图像的第一信息。 检测到一个或多个参考特征,参考特征与图像中的参考对象相关联。 基于第一信息确定图像空间与真实世界空间之间的变换。 访问指示来自用户的输入的第二信息,第二信息识别与真实世界空间中的真实世界距离相对应的图像空间中的图像空间距离。 然后基于第二信息和确定的变换来估计现实世界的兴趣距离。

    Sub-packet pulse-based communications
    9.
    发明授权
    Sub-packet pulse-based communications 有权
    子包脉冲通信

    公开(公告)号:US08451710B2

    公开(公告)日:2013-05-28

    申请号:US11740815

    申请日:2007-04-26

    IPC分类号: H04J7/00

    摘要: Low power wireless communication techniques may be employed in devices that communicate via a wireless body area network, a wireless personal area network, or some other type of wireless communication link. In some implementations the devices may communicate via one or more impulse-based ultra-wideband channels. Inter-pulse duty cycling may be employed to reduce the power consumption of a device. Power may be provided for the transmissions and receptions of pulses by charging and discharging a capacitive element according to the inter-pulse duty cycling. Sub-packet data may be transmitted and received via a common frequency band. A cell phone may multicast to two or more peripherals via wireless communication links.

    摘要翻译: 低功率无线通信技术可以用于经由无线体区域网络,无线个人区域网络或某种其他类型的无线通信链路进行通信的设备中。 在一些实现中,设备可以经由一个或多个基于脉冲的超宽带信道进行通信。 可以采用脉冲间占空比来降低器件的功耗。 可以通过根据脉冲间负载循环对电容元件进行充电和放电来为发射和接收脉冲提供功率。 可以经由公共频带发送和接收子分组数据。 蜂窝电话可以通过无线通信链路多播到两个或多个外围设备。

    Descriptor storage and searches of k-dimensional trees
    10.
    发明申请
    Descriptor storage and searches of k-dimensional trees 失效
    描述符存储和搜索k维树

    公开(公告)号:US20120330967A1

    公开(公告)日:2012-12-27

    申请号:US13340024

    申请日:2011-12-29

    IPC分类号: G06F17/30

    CPC分类号: G06K9/6282 G06K9/6228

    摘要: Various arrangements for using a k-dimensional tree for a search are presented. A plurality of descriptors may be stored. Each of the plurality of descriptors stored is linked with a first number of stored dimensions. The search may be performed using the k-dimensional tree for one or more query descriptors that at least approximately match one or more of the plurality of descriptors linked with the first number of stored dimensions. The k-dimensional tree may be built using the plurality of descriptors wherein each of the plurality of descriptors is linked with a second number of dimensions when the k-dimensional tree is built. The second number of dimensions may be a greater number of dimensions than the first number of stored dimensions.

    摘要翻译: 提出了使用k维树进行搜索的各种布置。 可以存储多个描述符。 所存储的多个描述符中的每一个与存储维度的第一数量相关联。 可以使用k维树进行搜索,所述查询描述符至少近似地匹配与第一数量的存储维度相链接的多个描述符中的一个或多个。 可以使用多个描述符构建k维树,其中当构建k维树时,多个描述符中的每个描述符与第二数量的维度相关联。 第二数量的尺寸可以是比第一数量的存储尺寸更大的尺寸数量。