Data buddy
    1.
    发明授权
    Data buddy 有权
    资料好友

    公开(公告)号:US09055607B2

    公开(公告)日:2015-06-09

    申请号:US12323570

    申请日:2008-11-26

    摘要: Multi-modal, multi-lingual devices can be employed to consolidate numerous items including, but not limited to, keys, remote controls, image capture devices, audio recorders, cellular telephone functionalities, location/direction detectors, health monitors, calendars, gaming devices, smart home inputs, pens, optical pointing devices or the like. For example, a corner of a cellular telephone can be used as an electronic pen. Moreover, the device can be used to snap multiple pictures stitching them together to create a panoramic image. A device can automate ignition of an automobile, initiate appliances, etc. based upon relative distance. The device can provide for near to eye capabilities for enhanced image viewing. Multiple cameras/sensors can be provided on a single device to provide for stereoscopic capabilities. The device can also provide assistance to blind, privacy, etc. by consolidating services.

    摘要翻译: 可以使用多模式,多语言设备来整合许多项目,包括但不限于键,遥控器,图像捕获设备,音频记录器,蜂窝电话功能,位置/方向检测器,健康监视器,日历,游戏设备 智能家庭输入,笔,光学指向装置等。 例如,蜂窝电话的角落可以用作电子笔。 此外,该设备可以用于将多个图片拼接在一起以创建全景图像。 设备可以基于相对距离自动点火汽车,起动电器等。 该设备可以提供近眼睛的功能,以增强图像观看效果。 可以在单个设备上提供多个摄像机/传感器以提供立体能力。 该设备还可以通过整合服务来提供盲人,隐私等方面的帮助。

    Multi-camera head pose tracking
    3.
    发明授权
    Multi-camera head pose tracking 有权
    多摄像机头姿态跟踪

    公开(公告)号:US08339459B2

    公开(公告)日:2012-12-25

    申请号:US12561154

    申请日:2009-09-16

    IPC分类号: H04N5/225

    摘要: Techniques and technologies for tracking a face with a plurality of cameras wherein a geometry between the cameras is initially unknown. One disclosed method includes detecting a head with two of the cameras and registering a head model with the image of the head (as detected by one of the cameras). The method also includes back projecting the other detected face image to the head model and determining a head pose from the back-projected head image. Furthermore, the determined geometry is used to track the face with at least one of the cameras.

    摘要翻译: 用于跟踪具有多个相机的面部的技术和技术,其中相机之间的几何形状最初是未知的。 一种公开的方法包括使用两个摄像机检测头部,并用头部的图像(由相机之一检测到)登记头部模型。 该方法还包括将另一个检测到的脸部图像反投影到头部模型并且从后投影的头部图像确定头部姿势。 此外,所确定的几何形状用于利用至少一个相机跟踪面部。

    System and Method Providing Improved Head Motion Estimations for Animation
    4.
    发明申请
    System and Method Providing Improved Head Motion Estimations for Animation 有权
    系统和方法为动画提供改进的头部运动估计

    公开(公告)号:US20100189310A1

    公开(公告)日:2010-07-29

    申请号:US12751705

    申请日:2010-03-31

    IPC分类号: G06K9/00

    摘要: The computer-readable media provides improved procedures to estimate head motion between two images of a face. Locations of a number of distinct facial features are determined in two images. The locations are converted into as a set of physical face parameters based on the symmetry of the identified distinct facial features. An estimation objective function is determined by: (a) estimating each of the set of physical parameters, (b) estimating a first head pose transform corresponding to the first image, and (c) estimating a second head pose transform corresponding to the second image. The motion is estimated between the two images based on the set of physical face parameters by multiplying each term of the estimation objective function by a weighted contribution factor based on the confidence of data corresponding to the estimation objective function.

    摘要翻译: 计算机可读介质提供改进的程序来估计脸部的两个图像之间的头部运动。 许多不同的脸部特征的位置在两个图像中确定。 基于识别出的不同面部特征的对称性,这些位置被转换为一组物理面部参数。 通过以下方式确定估计目标函数:(a)估计所述一组物理参数中的每一个,(b)估计与所述第一图像相对应的第一头部姿态变换,以及(c)估计与所述第二图像相对应的第二头部姿态变换 。 通过基于与估计目标函数对应的数据的置信度,将估计目标函数的每个项乘以加权的贡献因子,基于物理面参数的集合来估计两个图像之间的运动。

    Data buddy
    6.
    发明授权
    Data buddy 有权
    资料好友

    公开(公告)号:US07460884B2

    公开(公告)日:2008-12-02

    申请号:US11170545

    申请日:2005-06-29

    IPC分类号: H04M1/00

    摘要: Multi-modal, multi-lingual devices can be employed to consolidate numerous items including, but not limited to, keys, remote controls, image capture devices, audio recorders, cellular telephone functionalities, location/direction detectors, health monitors, calendars, gaming devices, smart home inputs, pens, optical pointing devices or the like. For example, a corner of a cellular telephone can be used as an electronic pen. Moreover, the device can be used to snap multiple pictures stitching them together to create a panoramic image. A device can automate ignition of an automobile, initiate appliances, etc. based upon relative distance. The device can provide for near to eye capabilities for enhanced image viewing. Multiple cameras/sensors can be provided on a single device to provide for stereoscopic capabilities. The device can also provide assistance to blind, privacy, etc. by consolidating services.

    摘要翻译: 可以使用多模式,多语言设备来整合许多项目,包括但不限于键,遥控器,图像捕获设备,音频记录器,蜂窝电话功能,位置/方向检测器,健康监视器,日历,游戏设备 智能家庭输入,笔,光学指向装置等。 例如,蜂窝电话的角落可以用作电子笔。 此外,该设备可以用于将多个图片拼接在一起以创建全景图像。 设备可以基于相对距离自动点火汽车,起动电器等。 该设备可以提供近眼睛的功能,以增强图像观看效果。 可以在单个设备上提供多个摄像机/传感器以提供立体能力。 该设备还可以通过整合服务来提供盲人,隐私等方面的帮助。

    SYSTEM AND METHOD FOR HEAD SIZE EQUALIZATION IN 360 DEGREE PANORAMIC IMAGES
    7.
    发明申请
    SYSTEM AND METHOD FOR HEAD SIZE EQUALIZATION IN 360 DEGREE PANORAMIC IMAGES 有权
    用于360度全景图像中的大小均匀化的系统和方法

    公开(公告)号:US20070206878A1

    公开(公告)日:2007-09-06

    申请号:US11465703

    申请日:2006-08-18

    IPC分类号: G06K9/36

    摘要: A real-time approximately 360 degree image correction system and a method for alleviating distortion and perception problems in images captured by omni-directional cameras. In general, the real-time panoramic image correction method generates a warp table from pixel coordinates of a panoramic image and applies the warp table to the panoramic image to create a corrected panoramic image. The corrections are performed using a parametric class of warping functions that include Spatially Varying Uniform (SVU) scaling functions. The SVU scaling functions and scaling factors are used to perform vertical scaling and horizontal scaling on the panoramic image pixel coordinates. A horizontal distortion correction is performed using the SVU scaling functions at at least two different scaling factors. This processing generates a warp table that can be applied to the panoramic image to yield the corrected panoramic image. In one embodiment the warp table is concatenated with a stitching table used to create the panoramic image.

    摘要翻译: 一种实时大约360度的图像校正系统和一种减轻全方位摄像机拍摄图像失真和感知问题的方法。 通常,实时全景图像校正方法从全景图像的像素坐标生成扭曲表,并将经线表应用于全景图像,以创建校正的全景图像。 校正使用包括空间变化均匀(SVU)缩放函数的参数化的翘曲函数类来执行。 SVU缩放函数和缩放因子用于对全景图像像素坐标执行垂直缩放和水平缩放。 使用SVU缩放函数以至少两个不同的缩放因子执行水平失真校正。 该处理产生可应用于全景图像以产生经校正的全景图像的经向表。 在一个实施例中,经线台与用于创建全景图像的缝合台连接。

    System and method providing improved head motion estimations for animation

    公开(公告)号:US07020305B2

    公开(公告)日:2006-03-28

    申请号:US09731481

    申请日:2000-12-06

    IPC分类号: G06K9/00

    摘要: The system provides improved procedures to estimate head motion between two images of a face. Locations of a number of distinct facial features are identified in two images. The identified locations can correspond to the eye comers, mouth corners and nose tip. The locations are converted into as a set of physical face parameters based on the symmetry of the identified distinct facial features. The set of physical parameters reduces the number of unknowns as compared to the number of equations used to determine the unknowns. An initial head motion estimate is determined by: (a) estimating each of the set of physical parameters, (b) estimating a first head pose transform corresponding to the first image, and (c) estimating a second head pose transform corresponding to the second image. The head motion estimate can be incorporated into a feature matching algorithm to refine the head motion estimation and the physical facial parameters. In one implementation, an inequality constraint is placed on a particular physical parameter—such as a nose tip, such that the parameter is constrained within a predetermined minimum and maximum value. The inequality constraint is converted to an equality constraint by using a penalty function. Then, the inequality constraint is used during the initial head motion estimation to add additional robustness to the motion estimation.