Tomosynthesis imaging data compression system and method
    1.
    发明申请
    Tomosynthesis imaging data compression system and method 审中-公开
    骨骼合成成像数据压缩系统及方法

    公开(公告)号:US20080219567A1

    公开(公告)日:2008-09-11

    申请号:US11714969

    申请日:2007-03-07

    IPC分类号: G06K9/36

    摘要: A technique and system are provided for compression of tomosynthesis imaging data. In an embodiment of the present technique, tomosynthesis imaging data may be compressed by processing a stack of tomosynthesis images such that differences between some or all of the images or estimates of the images are encoded. In another embodiment of the present technique, tomosynthesis imaging data may be compressed by differentially compressing two or more regions within the one or more tomosynthesis imaging datasets. In addition, there is provided tangible, machine readable media, with code executable to perform the acts of obtaining one or more tomosynthesis imaging datasets and compressing the one or more tomosynthesis imaging datasets using one or more compression algorithms.

    摘要翻译: 提供了一种技术和系统来压缩断层摄影成像数据。 在本技术的一个实施例中,可以通过处理层叠合成图像来压缩层析融合成像数据,使得编码图像中的一些或所有图像或估计之间的差异。 在本技术的另一个实施例中,可以通过差分压缩一个或多个断层成像数据集内的两个或多个区域来压缩断层融合成像数据。 此外,提供了有形的机器可读介质,其具有可执行代码以执行获得一个或多个断层合成成像数据集的动作,并使用一个或多个压缩算法来压缩一个或多个断层合成成像数据集。

    Sequential image acquisition with updating method and system
    5.
    发明申请
    Sequential image acquisition with updating method and system 有权
    使用更新方法和系统进行连续图像采集

    公开(公告)号:US20080242968A1

    公开(公告)日:2008-10-02

    申请号:US11731328

    申请日:2007-03-30

    IPC分类号: A61B5/05

    摘要: In accordance with embodiments of the present, a method for acquiring an image is provided. The method comprises acquiring initial image data, identifying one or more regions of interest in at least one of the initial image data or in a first image generated from the initial image data. The method further comprises automatically deriving one or more scan parameters based upon the regions of interest, and acquiring second image data using the scan parameters.

    摘要翻译: 根据本发明的实施例,提供了一种用于获取图像的方法。 该方法包括获取初始图像数据,识别初始图像数据中的至少一个中的一个或多个感兴趣区域,或从初始图像数据生成的第一图像。 该方法还包括基于感兴趣的区域自动导出一个或多个扫描参数,以及使用扫描参数获取第二图像数据。

    Apparatus and method for contactless high resolution handprint capture
    6.
    发明授权
    Apparatus and method for contactless high resolution handprint capture 有权
    用于非接触式高分辨率手印捕获的装置和方法

    公开(公告)号:US08971588B2

    公开(公告)日:2015-03-03

    申请号:US13075694

    申请日:2011-03-30

    IPC分类号: G06K9/00 G02B5/30

    摘要: A system and method for contactless handprint capture is disclosed that includes an image capture device to capture whole handprint images of a subject hand at each of a plurality of different focal distances, with the image capture device including an imaging camera and an electro-optics arrangement having a plurality of light modulating elements and polarization sensitive optical elements having differing optical path lengths based on polarization states. A control system is coupled to the image capture device to cause the device to capture the handprint images at each of the different focal distances, with each handprint image having a depth-of-focus that overlaps with a depth-of-focus of handprint images at adjacent focal distances such that redundant handprint image data is captured. The control system registers each handprint image with positional data and creates a composite handprint image from the handprint images captured at the different focal distances.

    摘要翻译: 公开了一种用于非接触式手印捕获的系统和方法,其包括:图像捕获装置,用于在多个不同焦距的每一个处拍摄主体手的整个手印图像,所述图像捕获装置包括成像相机和电光装置 具有多个光调制元件和基于极化状态具有不同光程长度的偏振敏感光学元件。 控制系统耦合到图像捕获设备,以使设备在每个不同焦距下捕获手印图像,每个手印图像具有与手印图像的焦点深度重叠的焦点深度 在相邻焦距处,使得捕获冗余的手印图像数据。 控制系统使用位置数据登记每个手印图像,并且从在不同焦距处捕获的手印图像创建复合手印图像。

    Optimal subspaces for face recognition
    7.
    发明授权
    Optimal subspaces for face recognition 有权
    面部识别的最佳子空间

    公开(公告)号:US08498454B2

    公开(公告)日:2013-07-30

    申请号:US12627039

    申请日:2009-11-30

    IPC分类号: G06K9/00

    摘要: A technique for optimizing object recognition is disclosed. The technique includes receiving at least one image of an object and at least one reference image. The technique further includes identifying at least one performance metric corresponding to an object recognition task. The identified performance metric is optimized to generate the corresponding optimized performance metric by determining an optimal subspace based on a determined objective function corresponding to the object recognition task and a difference between the received image and the corresponding reference image. Subsequently, the technique includes comparing the received image with the reference image based on the optimized performance metric for performing the object recognition task.

    摘要翻译: 公开了一种用于优化对象识别的技术。 该技术包括接收对象和至少一个参考图像的至少一个图像。 该技术还包括识别对应于对象识别任务的至少一个性能量度。 通过基于与对象识别任务相对应的确定的目标函数和接收到的图像与对应的参考图像之间的差异来确定最佳子空间来优化识别的性能度量以产生相应的优化性能度量。 随后,该技术包括基于用于执行对象识别任务的优化性能度量来比较接收到的图像与参考图像。

    OPTIMAL GRADIENT PURSUIT FOR IMAGE ALIGNMENT
    8.
    发明申请
    OPTIMAL GRADIENT PURSUIT FOR IMAGE ALIGNMENT 有权
    用于图像对齐的最佳梯度图像

    公开(公告)号:US20120237117A1

    公开(公告)日:2012-09-20

    申请号:US13052097

    申请日:2011-03-20

    IPC分类号: G06K9/46 G06K9/48 G06K9/62

    CPC分类号: G06K9/3241 G06K9/00228

    摘要: A method for image alignment is disclosed. In one embodiment, the method includes acquiring a facial image of a person and using a discriminative face alignment model to fit a generic facial mesh to the facial image to facilitate locating of facial features. The discriminative face alignment model may include a generative shape model component and a discriminative appearance model component. Further, the discriminative appearance model component may have been trained to estimate a score function that minimizes the angle between a gradient direction and a vector pointing toward a ground-truth shape parameter. Additional methods, systems, and articles of manufacture are also disclosed.

    摘要翻译: 公开了一种用于图像对准的方法。 在一个实施例中,该方法包括获取人的面部图像并使用区别性面部对准模型来将面部图像拟合为面部图像,以便于面部特征的定位。 鉴别面部对齐模型可以包括生成形状模型组件和鉴别外观模型组件。 此外,鉴别外观模型组件可能已经被训练以估计最小化梯度方向和指向地面真实形状参数的向量之间的角度的得分函数。 还公开了附加的方法,系统和制品。

    System and method for automatic landmark labeling with minimal supervision
    10.
    发明授权
    System and method for automatic landmark labeling with minimal supervision 有权
    最小监督的自动地标标签系统和方法

    公开(公告)号:US08442330B2

    公开(公告)日:2013-05-14

    申请号:US12533066

    申请日:2009-07-31

    IPC分类号: G06K9/62 G06K9/74

    摘要: A system and method for estimating a set of landmarks for a large image ensemble employs only a small number of manually labeled images from the ensemble and avoids labor-intensive and error-prone object detection, tracking and alignment learning task limitations associated with manual image labeling techniques. A semi-supervised least squares congealing approach is employed to minimize an objective function defined on both labeled and unlabeled images. A shape model is learned on-line to constrain the landmark configuration. A partitioning strategy allows coarse-to-fine landmark estimation.

    摘要翻译: 用于估计大图像集合的一组地标的系统和方法仅使用来自集合的少量手动标记的图像,并且避免与手动图像标签相关联的劳动密集型和易出错的对象检测,跟踪和对准学习任务限制 技术 采用半监督的最小二乘法凝结方法来最小化在标记和未标记图像上定义的目标函数。 形状模型在线学习以约束地标配置。 分区策略允许粗略到精细的地标估计。