System and method for effectively implementing a stroboscopic visual effect
    2.
    发明申请
    System and method for effectively implementing a stroboscopic visual effect 有权
    有效实施频闪视觉效果的系统和方法

    公开(公告)号:US20120242779A1

    公开(公告)日:2012-09-27

    申请号:US13065445

    申请日:2011-03-22

    IPC分类号: H04N9/74 H04N7/00 H04N5/45

    摘要: A system and method for effectively implementing a stroboscopic visual effect with a television device includes a strobe engine that analyzes video data to create a sequence of stroboscopic images based upon motion information from the video data. The television utilizes a display manager to present the stroboscopic images and the video data on a display device during a strobe display mode. A processor device of the television typically controls the operations of the strobe engine and the display manager to implement the stroboscopic visual effect.

    摘要翻译: 一种用于利用电视设备有效地实现频闪视觉效果的系统和方法包括:选通引擎,其基于来自视频数据的运动信息,分析视频数据以创建频闪图像序列。 在选通显示模式期间,电视机利用显示管理器在显示设备上呈现频闪图像和视频数据。 电视机的处理器装置通常控制频闪发动机和显示管理器的操作以实现频闪视觉效果。

    System And Method For Effectively Performing An Image Categorization Procedure
    3.
    发明申请
    System And Method For Effectively Performing An Image Categorization Procedure 有权
    有效执行图像分类程序的系统和方法

    公开(公告)号:US20130216138A1

    公开(公告)日:2013-08-22

    申请号:US13397909

    申请日:2012-02-16

    IPC分类号: G06K9/46

    摘要: A system for performing an image categorization procedure includes an image manager with a keypoint generator, a support region filter, an orientation filter, and a matching module. The keypoint generator computes initial descriptors for keypoints in a test image. The support region filter and the orientation filter perform respective filtering procedures upon the initial descriptors to produce filtered descriptors. The matching module compares the filtered descriptors to one or more database image sets for categorizing said test image. A processor of an electronic device typically controls the image manager to effectively perform the image categorization procedure.

    摘要翻译: 用于执行图像分类过程的系统包括具有关键点发生器,支持区域滤波器,取向滤波器和匹配模块的图像管理器。 关键点发生器计算测试图像中关键点的初始描述符。 支持区域滤波器和取向滤波器对初始描述符执行相应的滤波过程以产生经滤波的描述符。 匹配模块将过滤的描述符与一个或多个数据库图像集进行比较,以对所述测试图像进​​行分类。 电子设备的处理器通常控制图像管理器以有效地执行图像分类过程。

    Gesture recognition system for TV control
    4.
    发明授权
    Gesture recognition system for TV control 有权
    电视控制手势识别系统

    公开(公告)号:US09213890B2

    公开(公告)日:2015-12-15

    申请号:US12885072

    申请日:2010-09-17

    摘要: A gesture recognition system using a skin-color based method combined with motion information to achieve real-time segmentation. A Kalman filter is used to track the centroid of the hand. The palm center, palm bottom, as well as the largest distance from the palm center to the contour from extracted hand mask are computed. The computed distance to a threshold is then compared to decide if the current posture is “open” or “closed.” In a preferred embodiment, the transition between the “open” and “closed” posture to decide if the current gesture is in “select” or “grab” state.

    摘要翻译: 一种使用与运动信息相结合的基于肤色的方法来实现实时分割的手势识别系统。 卡尔曼滤波器用于跟踪手的质心。 计算手掌中心,掌底,以及从手掌中心到提取的手罩的轮廓的最大距离。 然后将计算出的与阈值的距离进行比较以确定当前姿势是否“开放”或“关闭”。在优选实施例中,“开放”和“关闭”姿势之间的转换以决定当前手势是否处于“ 选择“或”抓取“状态。

    GESTURE RECOGNITION SYSTEM FOR TV CONTROL
    5.
    发明申请
    GESTURE RECOGNITION SYSTEM FOR TV CONTROL 有权
    电视机控制识别系统

    公开(公告)号:US20120069168A1

    公开(公告)日:2012-03-22

    申请号:US12885072

    申请日:2010-09-17

    IPC分类号: H04N7/18 G06F3/033

    摘要: A gesture recognition system using a skin-color based method combined with motion information to achieve real-time segmentation. A Kalman filter is used to track the centroid of the hand. The palm center, palm bottom, as well as the largest distance from the palm center to the contour from extracted hand mask are computed. The computed distance to a threshold is then compared to decide if the current posture is “open” or “closed.” In a preferred embodiment, the transition between the “open” and “closed” posture to decide if the current gesture is in “select” or “grab” state.

    摘要翻译: 一种使用与运动信息相结合的基于肤色的方法来实现实时分割的手势识别系统。 卡尔曼滤波器用于跟踪手的质心。 计算手掌中心,掌底,以及从手掌中心到提取的手罩的轮廓的最大距离。 然后将计算出的与阈值的距离进行比较以确定当前姿势是否“开放”或“关闭”。在优选实施例中,“开放”和“关闭”姿势之间的转换以决定当前手势是否处于“ 选择“或”抓取“状态。

    TAIL THE MOTION METHOD OF GENERATING SIMULATED STROBE MOTION VIDEOS AND PICTURES USING IMAGE CLONING
    6.
    发明申请
    TAIL THE MOTION METHOD OF GENERATING SIMULATED STROBE MOTION VIDEOS AND PICTURES USING IMAGE CLONING 审中-公开
    使用图像克隆技术生成模拟运动视频和图像的运动方法

    公开(公告)号:US20120002112A1

    公开(公告)日:2012-01-05

    申请号:US12829716

    申请日:2010-07-02

    IPC分类号: H04N9/74

    CPC分类号: H04N5/144 H04N5/2625

    摘要: The apparatus generates simulated strobe effects in the form of video or still image output in response to receipt of a video stream, and without the need of additional strobe hardware. Videos of a moving target object are categorized into one of multiple categories, from which a strobe generation process is selected. In one mode, the two categories comprise target objects with either small motion or large motions in relation to the frame size. Interoperation between image registration and cloning are utilized to produce simulated strobe motion videos or pictures. Motion segmentation is applied to the foreground object in each image frame, and a foreground mask is updated as each checkpoint is reached along the object trajectory, such as in response to time differences between checkpoints. Potential applications include special features for camcorders, digital cameras, or computer software.

    摘要翻译: 该装置响应于视频流的接收而以视频或静止图像输出的形式产生模拟频闪效应,并且不需要额外的频闪硬件。 移动目标对象的视频被分类为多个类别之一,从中选择选通生成处理。 在一种模式中,这两个类别包括相对于帧大小具有小运动或大运动的目标对象。 利用图像配准和克隆之间的互操作来产生模拟的频闪运动视频或图像。 运动分割被应用于每个图像帧中的前景对象,并且当沿对象轨迹到达每个检查点时,例如响应于检查点之间的时间差,更新前景蒙版。 潜在应用包括摄像机,数码相机或计算机软件的特殊功能。

    System and method for effectively performing an image categorization procedure
    7.
    发明授权
    System and method for effectively performing an image categorization procedure 有权
    用于有效执行图像分类程序的系统和方法

    公开(公告)号:US09031326B2

    公开(公告)日:2015-05-12

    申请号:US13397909

    申请日:2012-02-16

    IPC分类号: G06K9/46 G06K9/62

    摘要: A system for performing an image categorization procedure includes an image manager with a keypoint generator, a support region filter, an orientation filter, and a matching module. The keypoint generator computes initial descriptors for keypoints in a test image. The support region filter and the orientation filter perform respective filtering procedures upon the initial descriptors to produce filtered descriptors. The matching module compares the filtered descriptors to one or more database image sets for categorizing said test image. A processor of an electronic device typically controls the image manager to effectively perform the image categorization procedure.

    摘要翻译: 用于执行图像分类过程的系统包括具有关键点发生器,支持区域滤波器,取向滤波器和匹配模块的图像管理器。 关键点发生器计算测试图像中关键点的初始描述符。 支持区域滤波器和取向滤波器对初始描述符执行相应的滤波过程以产生经滤波的描述符。 匹配模块将过滤的描述符与一个或多个数据库图像集进行比较,以对所述测试图像进​​行分类。 电子设备的处理器通常控制图像管理器以有效地执行图像分类过程。

    System and method for dynamic gesture recognition using geometric classification
    8.
    发明授权
    System and method for dynamic gesture recognition using geometric classification 有权
    使用几何分类的动态手势识别的系统和方法

    公开(公告)号:US08620024B2

    公开(公告)日:2013-12-31

    申请号:US12885104

    申请日:2010-09-17

    IPC分类号: G06K9/00

    摘要: A gesture recognition system and method that inputs videos of a moving hand and outputs the recognized gesture states for the input sequence. In each image, the hand area is segmented from the background and used to estimate parameters of all five fingers. The system further classifies the hand image as one of the postures in the pre-defined database and applies a geometric classification algorithm to recognize the gesture. The system combines a skin color model with motion information to achieve real-time hand segmentation performance, and considers each dynamic gesture as a multi-dimensional volume and uses a geometric algorithm to classify each volume.

    摘要翻译: 一种手势识别系统和方法,其输入移动手的视频并输出用于输入序列的所识别的手势状态。 在每个图像中,手区域从背景分割,并用于估计所有五个手指的参数。 系统将手图像进一步分类为预定义数据库中的姿势之一,并应用几何分类算法来识别手势。 该系统将皮肤颜色模型与运动信息相结合,以实现实时手分割性能,并将每个动态手势视为多维体积,并使用几何算法对每个卷进行分类。

    SYSTEM AND METHOD FOR DYNAMIC GESTURE RECOGNITION USING GEOMETRIC CLASSIFICATION
    9.
    发明申请
    SYSTEM AND METHOD FOR DYNAMIC GESTURE RECOGNITION USING GEOMETRIC CLASSIFICATION 有权
    使用几何分类的动态姿势识别的系统和方法

    公开(公告)号:US20120068917A1

    公开(公告)日:2012-03-22

    申请号:US12885104

    申请日:2010-09-17

    IPC分类号: G09G5/00

    摘要: A gesture recognition system and method that inputs videos of a moving hand and outputs the recognized gesture states for the input sequence. In each image, the hand area is segmented from the background and used to estimate parameters of all five fingers. The system further classifies the hand image as one of the postures in the pre-defined database and applies a geometric classification algorithm to recognize the gesture. The system combines a skin color model with motion information to achieve real-time hand segmentation performance, and considers each dynamic gesture as a multi-dimensional volume and uses a geometric algorithm to classify each volume.

    摘要翻译: 一种手势识别系统和方法,其输入移动手的视频并输出用于输入序列的所识别的手势状态。 在每个图像中,手区域从背景分割,并用于估计所有五个手指的参数。 系统将手图像进一步分类为预定义数据库中的姿势之一,并应用几何分类算法来识别手势。 该系统将皮肤颜色模型与运动信息相结合,以实现实时手分割性能,并将每个动态手势视为多维体积,并使用几何算法对每个卷进行分类。

    Camera for shooting like a professional
    10.
    发明申请
    Camera for shooting like a professional 审中-公开
    相机拍摄像专业人士

    公开(公告)号:US20090180771A1

    公开(公告)日:2009-07-16

    申请号:US12013984

    申请日:2008-01-14

    IPC分类号: G03B15/02 G03B7/00

    摘要: An imaging system acquires an image using focal point and field depth information. The system receives focal point and field information via a user interface and analyzes the image based on the focal point and field depth information to calculate characteristics of the content of the image. In addition, the system automatically determines the image exposure based on the characteristics. Furthermore, the system determines the appropriate aperture and exposure based on the field depth information.

    摘要翻译: 成像系统使用焦点和场深度信息获取图像。 系统通过用户界面接收焦点和场信息,并根据焦点和场深度信息分析图像,以计算图像内容的特征。 此外,系统根据特性自动确定图像曝光。 此外,系统基于场深度信息确定适当的光圈和曝光。