INVARIANT FEATURES FOR COMPUTER VISION
    32.
    发明申请
    INVARIANT FEATURES FOR COMPUTER VISION 有权
    计算机视觉的不变特征

    公开(公告)号:US20140002607A1

    公开(公告)日:2014-01-02

    申请号:US13688120

    申请日:2012-11-28

    IPC分类号: G06K9/62 H04N13/02

    摘要: Technology is described for determining and using invariant features for computer vision. A local orientation may be determined for each depth pixel in a subset of the depth pixels in a depth map. The local orientation may an in-plane orientation, an out-out-plane orientation or both. A local coordinate system is determined for each of the depth pixels in the subset based on the local orientation of the corresponding depth pixel. A feature region is defined relative to the local coordinate system for each of the depth pixels in the subset. The feature region for each of the depth pixels in the subset is transformed from the local coordinate system to an image coordinate system of the depth map. The transformed feature regions are used to process the depth map.

    摘要翻译: 描述了用于确定和使用计算机视觉的不变特征的技术。 可以针对深度图中的深度像素的子集中的每个深度像素确定局部取向。 局部取向可以是面内取向,面外取向或两者。 基于相应深度像素的局部方向,为子集中的每个深度像素确定局部坐标系。 相对于子集中的每个深度像素的局部坐标系定义特征区域。 子集中的每个深度像素的特征区域从局部坐标系变换为深度图的图像坐标系。 变换的特征区域用于处理深度图。

    INVARIANT FEATURES FOR COMPUTER VISION
    33.
    发明申请
    INVARIANT FEATURES FOR COMPUTER VISION 审中-公开
    计算机视觉的不变特征

    公开(公告)号:US20120314031A1

    公开(公告)日:2012-12-13

    申请号:US13155293

    申请日:2011-06-07

    IPC分类号: H04N13/02 G06K9/00

    摘要: Technology is described for determining and using invariant features for computer vision. A local orientation may be determined for each depth pixel in a subset of the depth pixels in a depth map. The local orientation may an in-plane orientation, an out-out-plane orientation or both. A local coordinate system is determined for each of the depth pixels in the subset based on the local orientation of the corresponding depth pixel. A feature region is defined relative to the local coordinate system for each of the depth pixels in the subset. The feature region for each of the depth pixels in the subset is transformed from the local coordinate system to an image coordinate system of the depth map. The transformed feature regions are used to process the depth map.

    摘要翻译: 描述了用于确定和使用计算机视觉的不变特征的技术。 可以针对深度图中的深度像素的子集中的每个深度像素确定局部取向。 局部取向可以是面内取向,面外取向或两者。 基于相应深度像素的局部方向,为子集中的每个深度像素确定局部坐标系。 相对于子集中的每个深度像素的局部坐标系定义特征区域。 子集中的每个深度像素的特征区域从局部坐标系变换为深度图的图像坐标系。 变换的特征区域用于处理深度图。

    Attribute State Classification
    34.
    发明申请
    Attribute State Classification 审中-公开
    属性状态分类

    公开(公告)号:US20120280897A1

    公开(公告)日:2012-11-08

    申请号:US13098899

    申请日:2011-05-02

    IPC分类号: G09G5/00

    摘要: Attribute state classification techniques are described. In one or more implementations, one or more pixels of an image are classified by a computing device as having one or several states for one or more attributes that do not identify corresponding body parts of a user. A gesture is recognized by the computing device that is operable to initiate one or more operations of the computing device based at least in part of the state classifications of the one or more pixels of one or more attributes.

    摘要翻译: 描述属性状态分类技术。 在一个或多个实现中,图像的一个或多个像素被计算设备分类为对于不识别用户的相应身体部位的一个或多个属性具有一个或多个状态。 至少部分地由一个或多个属性的一个或多个像素的状态分类,计算设备识别出可操作以启动计算设备的一个或多个操作的手势。

    Extensible on-demand property system
    35.
    发明授权
    Extensible on-demand property system 失效
    可扩展的按需物业系统

    公开(公告)号:US06986123B2

    公开(公告)日:2006-01-10

    申请号:US10186985

    申请日:2002-06-28

    申请人: Mark J. Finocchio

    发明人: Mark J. Finocchio

    IPC分类号: G06F9/44

    CPC分类号: G06F9/542 G06F9/4492

    摘要: A system and method for handling properties of objects is provided. More specifically, the system and method provide a dependency mechanism for expressing the relationship between the properties in a formal manner. This relationship may either be applied globally or locally. Using the dependency mechanism, the property system monitors relationships between properties and detects circularities between the different properties during runtime. The system and method also provide an evaluation mechanism for calculating a value for any of the properties. Because the property system is on-demand, the value need not be stored in local storage. The dependency mechanism and the evaluation mechanism are extensible, which allows the property system to model any type of relationship, such as a direct relationship, inheritance, reverse inheritance, property sheets, encapsulation, and the like.

    摘要翻译: 提供了一种用于处理对象属性的系统和方法。 更具体地,系统和方法提供用于以正式方式表达属性之间的关系的依赖机制。 这种关系可以全局或局部应用。 使用依赖关系机制,属性系统监视属性之间的关系,并在运行时检测不同属性之间的循环。 该系统和方法还提供用于计算任何属性的值的评估机制。 因为属性系统是按需的,所以该值不需要存储在本地存储中。 依赖机制和评估机制是可扩展的,这允许属性系统建模任何类型的关系,例如直接关系,继承,反向继承,属性表,封装等。

    Attribute state classification
    36.
    发明授权

    公开(公告)号:US10671841B2

    公开(公告)日:2020-06-02

    申请号:US13098899

    申请日:2011-05-02

    IPC分类号: G06F3/01 G06K9/00 G06F3/03

    摘要: Attribute state classification techniques are described. In one or more implementations, one or more pixels of an image are classified by a computing device as having one or several states for one or more attributes that do not identify corresponding body parts of a user. A gesture is recognized by the computing device that is operable to initiate one or more operations of the computing device based at least in part of the state classifications of the one or more pixels of one or more attributes.

    PARTITIONING DATA FOR TRAINING MACHINE-LEARNING CLASSIFIERS
    37.
    发明申请
    PARTITIONING DATA FOR TRAINING MACHINE-LEARNING CLASSIFIERS 审中-公开
    训练机器学习分类器的分类数据

    公开(公告)号:US20160132786A1

    公开(公告)日:2016-05-12

    申请号:US14539778

    申请日:2014-11-12

    IPC分类号: G06N99/00

    CPC分类号: G06N20/00

    摘要: Various embodiments relating to partitioning a data set for training machine-learning classifiers based on an output of a globally trained machine-learning classifier are disclosed. In one embodiment, a first machine-learning classifier may be trained on a set of training data to produce a corresponding set of output data. The set of training data may be partitioned into a plurality of subsets based on the set of output data. Each subset may correspond to a different class. A second machine-learning classifier may be trained on the set of training data using a plurality of classes corresponding to the plurality of subsets to produce, for each data object of the set of training data, a probability distribution having for each class a probability that the data object is a member of the class.

    摘要翻译: 公开了关于根据全球训练的机器学习分类器的输出划分用于训练机器学习分类器的数据集的各种实施例。 在一个实施例中,可以对一组训练数据对第一机器学习分类器进行训练,以产生相应的一组输出数据。 该组训练数据可以基于该组输出数据被划分成多个子集。 每个子集可以对应于不同的类。 可以使用对应于多个子集的多个类来对该组训练数据对第二机器学习分类器进行训练,以针对该组训练数据的每个数据对象产生对于每个类具有以下概率的概率: 数据对象是该类的成员。

    ADAPTIVE EVENT RECOGNITION
    38.
    发明申请
    ADAPTIVE EVENT RECOGNITION 有权
    自适应事件识别

    公开(公告)号:US20140375545A1

    公开(公告)日:2014-12-25

    申请号:US13927051

    申请日:2013-06-25

    IPC分类号: G06F3/03

    摘要: A system and related methods for adaptive event recognition are provided. In one example, a selected sensor of a head-mounted display device is operated at a first polling rate corresponding to a higher potential latency. Initial user-related information is received. Where the initial user-related information matches a pre-event, the selected sensor is operated at a second polling rate faster than the first polling rate and corresponding to a lower potential latency. Subsequent user-related information is received. Where the subsequent user-related information matches a selected target event, feedback associated with the selected target event is provided to the user via the head-mounted display device.

    摘要翻译: 提供了一种用于自适应事件识别的系统和相关方法。 在一个示例中,头戴式显示设备的所选择的传感器以对应于较高潜在等待时间的第一轮询速率操作。 接收初始用户相关信息。 在初始用户相关信息与事件前匹配的情况下,所选择的传感器以比第一轮询速率更快的第二轮询速率操作并对应于较低的潜在延迟。 接收随后的用户相关信息。 在随后的用户相关信息与所选择的目标事件匹配的情况下,通过头戴式显示设备向用户提供与所选择的目标事件相关联的反馈。

    Adaptation for alternate gaming input devices
    39.
    发明授权
    Adaptation for alternate gaming input devices 有权
    替代游戏输入设备的适配

    公开(公告)号:US08133119B2

    公开(公告)日:2012-03-13

    申请号:US12363543

    申请日:2009-01-30

    申请人: Mark J. Finocchio

    发明人: Mark J. Finocchio

    IPC分类号: A63F9/24 A63F13/00

    摘要: Mechanisms for adjusting signals between gaming controllers and gaming consoles are disclosed. In an embodiment, the output signals of a mouse control a gaming console which is normally controlled by an analog thumbstick. The output signals of mouse are adjusted to compensate for the analog thumbstick controller assist techniques employed by the gaming console. The adjusted signals are sent to the gaming console. The result is that the user is able to control the game using the mouse and have the same feel as if the user was using the analog thumbstick controller.

    摘要翻译: 公开了在游戏控制器和游戏控制台之间调整信号的机制。 在一个实施例中,鼠标的输出信号控制通常由模拟拇指控制的游戏控制台。 调整鼠标的输出信号以补偿游戏控制台采用的模拟拇指控制器辅助技术。 调整后的信号被发送到游戏控制台。 结果是用户能够使用鼠标来控制游戏,并且具有与用户使用模拟拇指控制器相同的感觉。

    EXTENSIBLE BINDING OF DATA WITHIN GRAPHICAL RICH APPLICATIONS
    40.
    发明申请
    EXTENSIBLE BINDING OF DATA WITHIN GRAPHICAL RICH APPLICATIONS 审中-公开
    在图形丰富的应用中可扩展的数据绑定

    公开(公告)号:US20090327238A1

    公开(公告)日:2009-12-31

    申请号:US12164031

    申请日:2008-06-28

    IPC分类号: G06F17/30

    CPC分类号: G06F16/44 G06F16/25

    摘要: An arrangement is provided for retrieving and updating data within an application, such as a media player application and its metadata. Information is gathered from multiple remote sources. The remote source is queried for information, and information is received from the same. The received information is compared to a number of stored data storage conventions. The particular data storage convention employed is determined, and using the determined data storage convention, data is bound to a number of fields in the application.

    摘要翻译: 提供了用于检索和更新应用程序内的数据的布置,诸如媒体播放器应用程序及其元数据。 信息从多个远程源收集。 查询远程源的信息,并从中收到信息。 将接收的信息与多个存储的数据存储惯例进行比较。 确定使用的特定数据存储惯例,并且使用所确定的数据存储惯例,将数据绑定到应用中的多个字段。