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    Choosing video deinterlacing interpolant based on cost
    1.
    发明授权
    Choosing video deinterlacing interpolant based on cost 有权
    基于成本选择视频去隔行插值

    公开(公告)号：US08274603B2

    公开(公告)日：2012-09-25

    申请号：US12057372

    申请日：2008-03-28

    申请人： Shengyang Dai ,  Simon John Baker ,  Sing Bing Kang

    发明人： Shengyang Dai ,  Simon John Baker ,  Sing Bing Kang

    IPC分类号： H04N7/01 ,  H04N11/20

    CPC分类号： H04N7/0145 ,  H04N7/012

    摘要： Deinterlacing of video involves converting interlaced video to progressive video by interpolating a missing pixel in the interlaced video from other pixels in the video. A plurality of interpolants are provided, each of which interpolates a pixel value from other pixels that are nearby in space and/or time. The data costs of using the various interpolants is calculated. A particular one of the interpolants is chosen based on the data costs associated with the various interpolants. The chosen interpolant is used to interpolate the value of the missing pixel. The interpolated pixel value may be refined based on exemplars. The exemplars may be taken from the video that is being deinterlaced.

    摘要翻译： 视频的去隔行扫描涉及通过从视频中的其他像素插入隔行视频中的丢失像素来将隔行扫描视频转换为逐行视频。 提供了多个内插器，每个插值器都在空间和/或时间附近的其他像素中插入像素值。 计算使用各种内插剂的数据成本。 基于与各种内插剂相关联的数据成本来选择特定的一个内插剂。 所选择的插值器用于内插缺失像素的值。 可以基于示例来改进内插像素值。 示例可以从正在被去隔行扫描的视频中取出。

    CHOOSING VIDEO DEINTERLACING INTERPOLANT BASED ON COST
    2.
    发明申请
    CHOOSING VIDEO DEINTERLACING INTERPOLANT BASED ON COST 有权
    根据成本选择视频去除插件

    公开(公告)号：US20090244367A1

    公开(公告)日：2009-10-01

    申请号：US12057372

    申请日：2008-03-28

    申请人： Shengyang Dai ,  Simon John Baker ,  Sing Bing Kang

    发明人： Shengyang Dai ,  Simon John Baker ,  Sing Bing Kang

    IPC分类号： H04N7/01 ,  G06K9/32

    CPC分类号： H04N7/0145 ,  H04N7/012

    摘要： Deinterlacing of video involves converting interlaced video to progressive video by interpolating a missing pixel in the interlaced video from other pixels in the video. A plurality of interpolants are provided, each of which interpolates a pixel value from other pixels that are nearby in space and/or time. The data costs of using the various interpolants is calculated. A particular one of the interpolants is chosen based on the data costs associated with the various interpolants. The chosen interpolant is used to interpolate the value of the missing pixel. The interpolated pixel value may be refined based on exemplars. The exemplars may be taken from the video that is being deinterlaced.

    摘要翻译： 视频的去隔行扫描涉及通过从视频中的其他像素插入隔行视频中的丢失像素来将隔行扫描视频转换为逐行视频。 提供了多个内插器，每个插值器都在空间和/或时间附近的其他像素中插入像素值。 计算使用各种内插剂的数据成本。 基于与各种内插剂相关联的数据成本来选择特定的一个内插剂。 所选择的插值器用于内插缺失像素的值。 可以基于示例来改进内插像素值。 示例可以从正在被去隔行扫描的视频中取出。

    Facade illumination removal
    3.
    发明授权
    Facade illumination removal 有权
    门面照明去除

    公开(公告)号：US08938119B1

    公开(公告)日：2015-01-20

    申请号：US13461482

    申请日：2012-05-01

    申请人： Mei Han ,  Vivek Kwatra ,  Shengyang Dai ,  Sergey Ioffe

    发明人： Mei Han ,  Vivek Kwatra ,  Shengyang Dai ,  Sergey Ioffe

    IPC分类号： G06K9/00

    CPC分类号： G06K9/4661 ,  G06T5/008

    摘要： An image comprising color pixels with varying illumination is selected. Instances of a repeating pattern in the image are determined. Illumination values for illuminated pixels at locations within instances of the repeating pattern are calculated based on pixel intensities of non-illuminated pixels at corresponding locations in other instances of the repeating pattern. The illumination variation is removed from the illuminated pixels based on the calculated illumination values to produce enhanced pixels. Color from the non-illuminated pixels at the corresponding locations in other instances of the repeating pattern is propagated to the enhanced pixels.

    摘要翻译： 选择包括具有变化的照明的彩色像素的图像。 确定图像中的重复图案的实例。 基于重复图案的其他实例中的相应位置处的非照明像素的像素强度来计算在重复图案的实例内的位置处的照明像素的照明值。 基于所计算的照明值，从照明像素去除照明变化以产生增强像素。 来自重复图案的其他实例中的相应位置处的非照明像素的颜色被传播到增强像素。

    GRAPH CUTS-BASED INTERACTIVE SEGMENTATION OF TEETH IN 3-D CT VOLUMETRIC DATA
    4.
    发明申请
    GRAPH CUTS-BASED INTERACTIVE SEGMENTATION OF TEETH IN 3-D CT VOLUMETRIC DATA 有权
    3-D CT体积数据中基于图形图的交互式分类

    公开(公告)号：US20130243289A1

    公开(公告)日：2013-09-19

    申请号：US13423211

    申请日：2012-03-17

    申请人： Su Wang ,  Shengyang Dai ,  Xun Xu ,  Akira Nakamura

    发明人： Su Wang ,  Shengyang Dai ,  Xun Xu ,  Akira Nakamura

    IPC分类号： G06K9/00

    CPC分类号： G06T7/162 ,  G06T7/11 ,  G06T7/194 ,  G06T2207/10081 ,  G06T2207/20041 ,  G06T2207/20096 ,  G06T2207/30036

    摘要： An interactive segmentation framework for 3-D teeth CT volumetric data enables a user to segment an entire dental region or individual teeth depending upon the types of user input. Graph cuts-based interactive segmentation utilizes a user's scribbles which are collected on several 2-D representative CT slices and are expanded on those slices. Then, a 3-D distance transform is applied to the entire CT volume based on the expanded scribbles. Bony tissue enhancement is added before feeding 3-D CT raw image data into the graph cuts pipeline. The segmented teeth area is able to be directly utilized to reconstruct a 3-D virtual teeth model.

    摘要翻译： 用于3D牙齿CT体积数据的交互式分割框架使用户能够根据用户输入的类型来分割整个牙齿区域或单个牙齿。 基于图切割的交互式分割利用用户的涂鸦，这些涂鸦被收集在几个二维代表性的CT切片上，并在这些切片上展开。 然后，基于扩展的涂鸦将3-D距离变换应用于整个CT体积。 在将3-D CT原始图像数据提供给图形切割管道之前，添加骨组织增强。 分段牙齿区域能够直接用于重建3-D虚拟牙齿模型。

    Systems and methods for segmenting digital images
    6.
    发明授权
    Systems and methods for segmenting digital images 有权
    用于分割数字图像的系统和方法

    公开(公告)号：US08345976B2

    公开(公告)日：2013-01-01

    申请号：US12852096

    申请日：2010-08-06

    申请人： Su Wang ,  Shengyang Dai ,  Akira Nakamura ,  Takeshi Ohashi ,  Jun Yokono

    发明人： Su Wang ,  Shengyang Dai ,  Akira Nakamura ,  Takeshi Ohashi ,  Jun Yokono

    IPC分类号： G06K9/34

    CPC分类号： G06K9/6256 ,  G06K9/0014 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/136 ,  G06T7/187 ,  G06T2207/30024

    摘要： Methods and systems disclosed herein provide the capability to automatically process digital pathology images quickly and accurately. According to one embodiment, an digital pathology image segmentation task may be divided into at least two parts. An image segmentation task may be carried out utilizing both bottom-up analysis to capture local definition of features and top-down analysis to use global information to eliminate false positives. In some embodiments, an image segmentation task is carried out using a “pseudo-bootstrapping” iterative technique to produce superior segmentation results. In some embodiments, the superior segmentation results produced by the pseudo-bootstrapping method are used as input in a second segmentation task that uses a combination of bottom-up and top-down analysis.

    摘要翻译： 本文公开的方法和系统提供了快速且准确地自动处理数字病理图像的能力。 根据一个实施例，数字病理图像分割任务可以被划分为至少两部分。 图像分割任务可以利用自下而上的分析来捕获特征的局部定义和自上而下的分析，以使用全局信息来消除假阳性。 在一些实施例中，使用伪自举迭代技术来执行图像分割任务以产生优异的分割结果。 在一些实施例中，通过伪自举方法产生的优越分割结果被用作使用自下而上和自顶向下分析的组合的第二分段任务中的输入。

    Robust object tracking system
    7.
    发明申请
    Robust object tracking system 有权
    可靠的物体跟踪系统

    公开(公告)号：US20070291984A1

    公开(公告)日：2007-12-20

    申请号：US11453549

    申请日：2006-06-15

    申请人： Ming Yang ,  Ying Wu ,  Shengyang Dai ,  Shihong Lao

    发明人： Ming Yang ,  Ying Wu ,  Shengyang Dai ,  Shihong Lao

    IPC分类号： G06K9/00

    CPC分类号： G06T7/20

    摘要： A method for tracking objects includes identifying a target, identifying a plurality of auxiliary objects related to the target, and tracking the target using the plurality of auxiliary objects.

    摘要翻译： 用于跟踪对象的方法包括识别目标，识别与目标相关的多个辅助对象，以及使用多个辅助对象跟踪目标。

    Systems and Methods for Object Detection Using Image Tiling
    8.
    发明申请
    Systems and Methods for Object Detection Using Image Tiling 有权

    公开(公告)号：US20220254137A1

    公开(公告)日：2022-08-11

    申请号：US17622462

    申请日：2019-08-05

    申请人： Jilin TU ,  Jiang WANG ,  Huizhong CHEN ,  Xiangxin ZHU ,  Shengyang DAI ,  Google LLC

    发明人： Jilin Tu ,  Jiang Wang ,  Huizhong Chen ,  Xiangxin Zhu ,  Shengyang Dai

    IPC分类号： G06V10/50 ,  G06V10/778 ,  G06V10/75

    摘要： A computing system for detecting objects in an image can perform operations including generating an image pyramid that includes a first level corresponding with the image at a first resolution and a second level corresponding with the image at a second resolution. The operations can include tiling the first level and the second level by dividing the first level into a first plurality of tiles and the second level into a second plurality of tiles; inputting the first plurality of tiles and the second plurality of tiles into a machine-learned object detection model; receiving, as an output of the machine-learned object detection model, object detection data that includes bounding boxes respectively defined with respect to individual ones of the first plurality of tiles and the second plurality of tiles; and generating image object detection output by mapping the object detection data onto an image space of the image.

    Graph cuts-based interactive segmentation of teeth in 3-D CT volumetric data
    10.
    发明授权
    Graph cuts-based interactive segmentation of teeth in 3-D CT volumetric data 有权
    3-D CT体积数据中基于图形切割的牙齿交互式分割

    公开(公告)号：US08605973B2

    公开(公告)日：2013-12-10

    申请号：US13423211

    申请日：2012-03-17

    申请人： Su Wang ,  Shengyang Dai ,  Xun Xu ,  Akira Nakamura

    发明人： Su Wang ,  Shengyang Dai ,  Xun Xu ,  Akira Nakamura

    IPC分类号： G06K9/00

    CPC分类号： G06T7/162 ,  G06T7/11 ,  G06T7/194 ,  G06T2207/10081 ,  G06T2207/20041 ,  G06T2207/20096 ,  G06T2207/30036

    摘要： An interactive segmentation framework for 3-D teeth CT volumetric data enables a user to segment an entire dental region or individual teeth depending upon the types of user input. Graph cuts-based interactive segmentation utilizes a user's scribbles which are collected on several 2-D representative CT slices and are expanded on those slices. Then, a 3-D distance transform is applied to the entire CT volume based on the expanded scribbles. Bony tissue enhancement is added before feeding 3-D CT raw image data into the graph cuts pipeline. The segmented teeth area is able to be directly utilized to reconstruct a 3-D virtual teeth model.

    摘要翻译： 用于3D牙齿CT体积数据的交互式分割框架使用户能够根据用户输入的类型来分割整个牙齿区域或单个牙齿。 基于图切割的交互式分割利用用户的涂鸦，这些涂鸦被收集在几个二维代表性的CT切片上，并在这些切片上展开。 然后，基于扩展的涂鸦将3-D距离变换应用于整个CT体积。 在将3-D CT原始图像数据提供给图形切割管道之前，添加骨组织增强。 分段牙齿区域能够直接用于重建3-D虚拟牙齿模型。