Method, apparatus and computer program product for providing hand segmentation for gesture analysis
    1.
    发明授权
    Method, apparatus and computer program product for providing hand segmentation for gesture analysis 有权
    用于手势分析的手段分割的方法,装置和计算机程序产品

    公开(公告)号:US08379987B2

    公开(公告)日:2013-02-19

    申请号:US12346123

    申请日:2008-12-30

    IPC分类号: G06K9/46 G06K9/00

    CPC分类号: G06K9/00389

    摘要: A method for providing hand segmentation for gesture analysis may include determining a target region based at least in part on depth range data corresponding to an intensity image. The intensity image may include data descriptive of a hand. The method may further include determining a point of interest of a hand portion of the target region, determining a shape corresponding to a palm region of the hand, and removing a selected portion of the target region to identify a portion of the target region corresponding to the hand. An apparatus and computer program product corresponding to the method are also provided.

    摘要翻译: 用于提供用于手势分析的手分割的方法可以包括至少部分地基于与强度图像相对应的深度范围数据来确定目标区域。 强度图像可以包括描述手的数据。 该方法还可以包括确定目标区域的手部分的兴趣点,确定与手掌区域相对应的形状,以及移除目标区域的选定部分,以识别对应于该区域的目标区域的一部分 手。 还提供了一种与该方法对应的装置和计算机程序产品。

    Method, Apparatus and Computer Program Product for Providing Adaptive Gesture Analysis
    2.
    发明申请
    Method, Apparatus and Computer Program Product for Providing Adaptive Gesture Analysis 有权
    提供自适应手势分析的方法,仪器和计算机程序产品

    公开(公告)号:US20100111358A1

    公开(公告)日:2010-05-06

    申请号:US12261108

    申请日:2008-10-30

    IPC分类号: G06K9/00

    摘要: A method for providing adaptive gesture analysis may include dividing a distance range into a plurality of depth ranges, generating a plurality of intensity images for at least two image frames, each of the intensity images providing image data indicative of a presence of objects at a corresponding depth range for a respective image frame, determining motion variation between the two image frames for each corresponding depth range, and determining depth of a target based at least in part on the motion variation. An apparatus and computer program product corresponding to the method are also provided.

    摘要翻译: 用于提供自适应手势分析的方法可以包括将距离范围划分为多个深度范围,为至少两个图像帧生成多个强度图像,每个强度图像提供指示相应对象存在的图像数据 确定各个图像帧的深度范围,确定每个对应的深度范围的两个图像帧之间的运动变化,以及至少部分地基于运动变化确定目标的深度。 还提供了一种与该方法对应的装置和计算机程序产品。

    Method, apparatus and computer program product for providing adaptive gesture analysis
    3.
    发明授权
    Method, apparatus and computer program product for providing adaptive gesture analysis 有权
    用于提供自适应手势分析的方法,装置和计算机程序产品

    公开(公告)号:US08325978B2

    公开(公告)日:2012-12-04

    申请号:US12261108

    申请日:2008-10-30

    IPC分类号: G06K9/00

    摘要: A method for providing adaptive gesture analysis may include dividing a distance range into a plurality of depth ranges, generating a plurality of intensity images for at least two image frames, each of the intensity images providing image data indicative of a presence of objects at a corresponding depth range for a respective image frame, determining motion variation between the two image frames for each corresponding depth range, and determining depth of a target based at least in part on the motion variation. An apparatus and computer program product corresponding to the method are also provided.

    摘要翻译: 用于提供自适应手势分析的方法可以包括将距离范围划分为多个深度范围,为至少两个图像帧生成多个强度图像,每个强度图像提供指示相应对象存在的图像数据 确定各个图像帧的深度范围,确定每个对应的深度范围的两个图像帧之间的运动变化,以及至少部分地基于运动变化确定目标的深度。 还提供了一种与该方法对应的装置和计算机程序产品。

    METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR PROVIDING HAND SEGMENTATION FOR GESTURE ANALYSIS
    4.
    发明申请
    METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR PROVIDING HAND SEGMENTATION FOR GESTURE ANALYSIS 有权
    方法,装置和计算机程序产品,用于提供手段分析手段分析

    公开(公告)号:US20100166258A1

    公开(公告)日:2010-07-01

    申请号:US12346123

    申请日:2008-12-30

    IPC分类号: G06K9/00

    CPC分类号: G06K9/00389

    摘要: A method for providing hand segmentation for gesture analysis may include determining a target region based at least in part on depth range data corresponding to an intensity image. The intensity image may include data descriptive of a hand. The method may further include determining a point of interest of a hand portion of the target region, determining a shape corresponding to a palm region of the hand, and removing a selected portion of the target region to identify a portion of the target region corresponding to the hand. An apparatus and computer program product corresponding to the method are also provided.

    摘要翻译: 用于提供用于手势分析的手分割的方法可以包括至少部分地基于与强度图像相对应的深度范围数据来确定目标区域。 强度图像可以包括描述手的数据。 该方法还可以包括确定目标区域的手部分的兴趣点,确定与手掌区域相对应的形状,以及移除目标区域的选定部分以识别对应于该区域的目标区域的一部分 手。 还提供了一种与该方法对应的装置和计算机程序产品。

    Triangle Mesh Based Image Descriptor
    5.
    发明申请
    Triangle Mesh Based Image Descriptor 审中-公开
    基于三角网格的图像描述符

    公开(公告)号:US20090167760A1

    公开(公告)日:2009-07-02

    申请号:US11965355

    申请日:2007-12-27

    IPC分类号: G06T15/30

    CPC分类号: G06T17/20

    摘要: Embodiments are directed to creating a triangle mesh by using a distance-minimum criterion on a plurality of feature points detected from an image, computing, based on the triangle mesh, global features that describe a global representation of content of the image, and computing, based on the triangle mesh, local features that describe a local representation of content of the image. The global features may include a triangle distribution scatter of mesh that shows a texture density of the content of the image and a color histogram of mesh region that represents image color information corresponding to a mesh region of interest. The local features may include a definition of each mesh triangle shape via its three angles and a color histogram of each mesh triangle to represent image color information corresponding to each triangle region.

    摘要翻译: 实施例涉及通过使用从图像检测到的多个特征点上的距离最小准则来创建三角形网格,基于三角形网格计算描述图像的内容的全局表示的全局特征, 基于三角形网格,描述图像内容的局部表示的局部特征。 全局特征可以包括显示图像内容的纹理密度的网格的三角分布散布和表示对应于感兴趣的网格区域的图像颜色信息的网格区域的颜色直方图。 局部特征可以包括通过其三个角度对每个网格三角形形状的定义,以及每个网格三角形的颜色直方图以表示对应于每个三角形区域的图像颜色信息。

    Interaction using touch and non-touch gestures
    6.
    发明授权
    Interaction using touch and non-touch gestures 有权
    使用触摸和非触摸手势进行交互

    公开(公告)号:US08433138B2

    公开(公告)日:2013-04-30

    申请号:US12260295

    申请日:2008-10-29

    IPC分类号: G06K9/00

    摘要: A computer interface may use touch- and non-touch-based gesture detection systems to detect touch and non-touch gestures on a computing device. The systems may each capture an image, and interpret the image as corresponding to a predetermined gesture. The systems may also generate similarity values to indicate the strength of a match between a captured image and corresponding gesture, and the system may combine gesture identifications from both touch- and non-touch-based gesture identification systems to ultimately determine the gesture. A threshold comparison algorithm may be used to apply different thresholds for different gesture detection systems and gesture types.

    摘要翻译: 计算机接口可以使用基于触摸和非触摸的手势检测系统来检测计算设备上的触摸和非触摸手势。 系统可以各自捕获图像,并且将图像解释为对应于预定手势。 系统还可以生成相似性值以指示捕获的图像和对应手势之间的匹配的强度,并且系统可以组合来自基于触摸和非触摸的手势识别系统的手势标识,以最终确定手势。 可以使用阈值比较算法对不同的手势检测系统和手势类型应用不同的阈值。

    Interaction Using Touch and Non-Touch Gestures
    7.
    发明申请
    Interaction Using Touch and Non-Touch Gestures 有权
    使用触摸和非触摸手势进行交互

    公开(公告)号:US20100104134A1

    公开(公告)日:2010-04-29

    申请号:US12260295

    申请日:2008-10-29

    IPC分类号: G06K9/00 G06F3/033

    摘要: A computer interface may use touch- and non-touch-based gesture detection systems to detect touch and non-touch gestures on a computing device. The systems may each capture an image, and interpret the image as corresponding to a predetermined gesture. The systems may also generate similarity values to indicate the strength of a match between a captured image and corresponding gesture, and the system may combine gesture identifications from both touch- and non-touch-based gesture identification systems to ultimately determine the gesture. A threshold comparison algorithm may be used to apply different thresholds for different gesture detection systems and gesture types.

    摘要翻译: 计算机接口可以使用基于触摸和非触摸的手势检测系统来检测计算设备上的触摸和非触摸手势。 系统可以各自捕获图像,并且将图像解释为对应于预定手势。 系统还可以生成相似性值以指示捕获的图像和对应手势之间的匹配的强度,并且系统可以组合来自基于触摸和非触摸的手势识别系统的手势标识,以最终确定手势。 可以使用阈值比较算法对不同的手势检测系统和手势类型应用不同的阈值。